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Drafting freqtrade 0.17.0 release

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Samuel Husso 2018-06-23 09:35:52 -05:00
commit 46a062d5fb
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1
.coveragerc
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@ -3,3 +3,4 @@ omit =
scripts/*
freqtrade/tests/*
freqtrade/vendor/*
freqtrade/__main__.py

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.github/ISSUE_TEMPLATE.md vendored
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@ -1,15 +1,17 @@
## Step 1: Have you search for this issue before posting it?
If you have discovered a bug in the bot, please [search our issue tracker](https://github.com/gcarq/freqtrade/issues?q=is%3Aissue).
If you have discovered a bug in the bot, please [search our issue tracker](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue).
If it hasn't been reported, please create a new issue.
## Step 2: Describe your environment
* Python Version: _____ (`python -V`)
* CCXT version: _____ (`pip freeze | grep ccxt`)
* Branch: Master | Develop
* Last Commit ID: _____ (`git log --format="%H" -n 1`)
## Step 3: Describe the problem:
*Explain the problem you have encountered*
### Steps to reproduce:

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.github/PULL_REQUEST_TEMPLATE.md vendored
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@ -1,5 +1,5 @@
Thank you for sending your pull request. But first, have you included
unit tests, and is your code PEP8 conformant? [More details](https://github.com/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
unit tests, and is your code PEP8 conformant? [More details](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
## Summary
Explain in one sentence the goal of this PR

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.gitignore vendored
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@ -1,13 +1,14 @@
# Freqtrade rules
freqtrade/tests/testdata/*.json
hyperopt_conf.py
config.json
config*.json
*.sqlite
.hyperopt
logfile.txt
hyperopt_trials.pickle
user_data/
freqtrade-plot.html
freqtrade-profit-plot.html
# Byte-compiled / optimized / DLL files
__pycache__/
@ -90,3 +91,4 @@ target/
.vscode
.pytest_cache/
.mypy_cache/

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.pyup.yml Normal file
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@ -0,0 +1,4 @@
# autogenerated pyup.io config file
# see https://pyup.io/docs/configuration/ for all available options
schedule: every day

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.travis.yml
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@ -13,21 +13,22 @@ addons:
install:
- ./install_ta-lib.sh
- export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
- pip install --upgrade flake8 coveralls pytest-random-order
- pip install --upgrade flake8 coveralls pytest-random-order mypy
- pip install -r requirements.txt
- pip install -e .
jobs:
include:
- script: pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
- script:
- pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
- coveralls
- script:
- cp config.json.example config.json
- python freqtrade/main.py backtesting
- python freqtrade/main.py --datadir freqtrade/tests/testdata backtesting
- script:
- cp config.json.example config.json
- python freqtrade/main.py hyperopt -e 5
- python freqtrade/main.py --datadir freqtrade/tests/testdata hyperopt -e 5
- script: flake8 freqtrade
after_success:
- coveralls
- script: mypy freqtrade
notifications:
slack:
secure: 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

19
CONTRIBUTING.md
View File

@ -7,7 +7,7 @@ Feel like our bot is missing a feature? We welcome your pull requests! Few point
conformant (max-line-length = 100).
If you are unsure, discuss the feature on our [Slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE)
or in a [issue](https://github.com/gcarq/freqtrade/issues) before a PR.
or in a [issue](https://github.com/freqtrade/freqtrade/issues) before a PR.
**Before sending the PR:**
@ -42,4 +42,21 @@ pip3.6 install flake8 coveralls
flake8 freqtrade
```
We receive a lot of code that fails the `flake8` checks.
To help with that, we encourage you to install the git pre-commit
hook that will warn you when you try to commit code that fails these checks.
Guide for installing them is [here](http://flake8.pycqa.org/en/latest/user/using-hooks.html).
## 3. Test if all type-hints are correct
**Install packages** (If not already installed)
``` bash
pip3.6 install mypy
```
**Run mypy**
``` bash
mypy freqtrade
```

218
README.md
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@ -1,14 +1,14 @@
# freqtrade
[![Build Status](https://travis-ci.org/gcarq/freqtrade.svg?branch=develop)](https://travis-ci.org/gcarq/freqtrade)
[![Coverage Status](https://coveralls.io/repos/github/gcarq/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/gcarq/freqtrade?branch=develop)
[![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/gcarq/freqtrade/maintainability)
[![Build Status](https://travis-ci.org/freqtrade/freqtrade.svg?branch=develop)](https://travis-ci.org/freqtrade/freqtrade)
[![Coverage Status](https://coveralls.io/repos/github/freqtrade/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/freqtrade/freqtrade?branch=develop)
[![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/freqtrade/freqtrade/maintainability)
Simple High frequency trading bot for crypto currencies designed to
support multi exchanges and be controlled via Telegram.
![freqtrade](https://raw.githubusercontent.com/gcarq/freqtrade/develop/docs/assets/freqtrade-screenshot.png)
![freqtrade](https://raw.githubusercontent.com/freqtrade/freqtrade/develop/docs/assets/freqtrade-screenshot.png)
## Disclaimer
This software is for educational purposes only. Do not risk money which
@ -22,33 +22,10 @@ expect.
We strongly recommend you to have coding and Python knowledge. Do not
hesitate to read the source code and understand the mechanism of this bot.
## Table of Contents
- [Features](#features)
- [Quick start](#quick-start)
- [Documentations](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
- [Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md)
- [Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)
- [Strategy Optimization](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md)
- [Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md)
- [Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
- [Support](#support)
- [Help](#help--slack)
- [Bugs](#bugs--issues)
- [Feature Requests](#feature-requests)
- [Pull Requests](#pull-requests)
- [Basic Usage](#basic-usage)
- [Bot commands](#bot-commands)
- [Telegram RPC commands](#telegram-rpc-commands)
- [Requirements](#requirements)
- [Min hardware required](#min-hardware-required)
- [Software requirements](#software-requirements)
## Branches
The project is currently setup in two main branches:
- `develop` - This branch has often new features, but might also cause
breaking changes.
- `master` - This branch contains the latest stable release. The bot
'should' be stable on this branch, and is generally well tested.
## Exchange marketplaces supported
- [X] [Bittrex](https://bittrex.com/)
- [X] [Binance](https://www.binance.com/)
- [ ] [113 others to tests](https://github.com/ccxt/ccxt/). _(We cannot guarantee they will work)_
## Features
- [x] **Based on Python 3.6+**: For botting on any operating system -
@ -56,96 +33,68 @@ Windows, macOS and Linux
- [x] **Persistence**: Persistence is achieved through sqlite
- [x] **Dry-run**: Run the bot without playing money.
- [x] **Backtesting**: Run a simulation of your buy/sell strategy.
- [x] **Strategy Optimization**: Optimize your buy/sell strategy
parameters with Hyperopts.
- [x] **Whitelist crypto-currencies**: Select which crypto-currency you
want to trade.
- [x] **Blacklist crypto-currencies**: Select which crypto-currency you
want to avoid.
- [x] **Strategy Optimization by machine learning**: Use machine learning to optimize your buy/sell
strategy parameters with real exchange data.
- [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade.
- [x] **Blacklist crypto-currencies**: Select which crypto-currency you want to avoid.
- [x] **Manageable via Telegram**: Manage the bot with Telegram
- [x] **Display profit/loss in fiat**: Display your profit/loss in
33 fiat.
- [x] **Daily summary of profit/loss**: Provide a daily summary
of your profit/loss.
- [x] **Performance status report**: Provide a performance status of
your current trades.
- [x] **Display profit/loss in fiat**: Display your profit/loss in 33 fiat.
- [x] **Daily summary of profit/loss**: Provide a daily summary of your profit/loss.
- [x] **Performance status report**: Provide a performance status of your current trades.
### Exchange supported
- [x] Bittrex
- [ ] Binance
- [ ] Others
## Table of Contents
- [Quick start](#quick-start)
- [Documentations](https://github.com/freqtrade/freqtrade/blob/develop/docs/index.md)
- [Installation](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md)
- [Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md)
- [Strategy Optimization](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md)
- [Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md)
- [Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
- [Basic Usage](#basic-usage)
- [Bot commands](#bot-commands)
- [Telegram RPC commands](#telegram-rpc-commands)
- [Support](#support)
- [Help](#help--slack)
- [Bugs](#bugs--issues)
- [Feature Requests](#feature-requests)
- [Pull Requests](#pull-requests)
- [Requirements](#requirements)
- [Min hardware required](#min-hardware-required)
- [Software requirements](#software-requirements)
## Quick start
This quick start section is a very short explanation on how to test the
bot in dry-run. We invite you to read the
[bot documentation](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
to ensure you understand how the bot is working.
### Easy installation
The script below will install all dependencies and help you to configure the bot.
Freqtrade provides a Linux/macOS script to install all dependencies and help you to configure the bot.
```bash
./setup.sh --install
```
### Manual installation
The following steps are made for Linux/MacOS environment
**1. Clone the repo**
```bash
git clone git@github.com:gcarq/freqtrade.git
git clone git@github.com:freqtrade/freqtrade.git
git checkout develop
cd freqtrade
./setup.sh --install
```
**2. Create the config file**
Switch `"dry_run": true,`
```bash
cp config.json.example config.json
vi config.json
```
**3. Build your docker image and run it**
```bash
docker build -t freqtrade .
docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
```
_Windows installation is explained in [Installation doc](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md)_
### Help / Slack
For any questions not covered by the documentation or for further
information about the bot, we encourage you to join our slack channel.
- [Click here to join Slack channel](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE).
## Documentation
We invite you to read the bot documentation to ensure you understand how the bot is working.
- [Index](https://github.com/freqtrade/freqtrade/blob/develop/docs/index.md)
- [Installation](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md)
- [Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md)
- [Bot usage](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md)
- [How to run the bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#bot-commands)
- [How to use Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#backtesting-commands)
- [How to use Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands)
- [Strategy Optimization](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md)
- [Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md)
- [Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
### [Bugs / Issues](https://github.com/gcarq/freqtrade/issues?q=is%3Aissue)
If you discover a bug in the bot, please
[search our issue tracker](https://github.com/gcarq/freqtrade/issues?q=is%3Aissue)
first. If it hasn't been reported, please
[create a new issue](https://github.com/gcarq/freqtrade/issues/new) and
ensure you follow the template guide so that our team can assist you as
quickly as possible.
### [Feature Requests](https://github.com/gcarq/freqtrade/labels/enhancement)
Have you a great idea to improve the bot you want to share? Please,
first search if this feature was not [already discussed](https://github.com/gcarq/freqtrade/labels/enhancement).
If it hasn't been requested, please
[create a new request](https://github.com/gcarq/freqtrade/issues/new)
and ensure you follow the template guide so that it does not get lost
in the bug reports.
### [Pull Requests](https://github.com/gcarq/freqtrade/pulls)
Feel like our bot is missing a feature? We welcome your pull requests!
Please read our
[Contributing document](https://github.com/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
to understand the requirements before sending your pull-requests.
**Important:** Always create your PR against the `develop` branch, not
`master`.
## Basic Usage
### Bot commands
```bash
usage: main.py [-h] [-v] [--version] [-c PATH] [--dry-run-db] [--datadir PATH]
[--dynamic-whitelist [INT]]
usage: main.py [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
[--strategy-path PATH] [--dynamic-whitelist [INT]]
[--dry-run-db]
{backtesting,hyperopt} ...
Simple High Frequency Trading Bot for crypto currencies
@ -161,23 +110,24 @@ optional arguments:
--version show program's version number and exit
-c PATH, --config PATH
specify configuration file (default: config.json)
--dry-run-db Force dry run to use a local DB
"tradesv3.dry_run.sqlite" instead of memory DB. Work
only if dry_run is enabled.
--datadir PATH path to backtest data (default freqdata/tests/testdata
-d PATH, --datadir PATH
path to backtest data (default:
freqtrade/tests/testdata
-s NAME, --strategy NAME
specify strategy class name (default: DefaultStrategy)
--strategy-path PATH specify additional strategy lookup path
--dynamic-whitelist [INT]
dynamically generate and update whitelist based on 24h
BaseVolume (Default 20 currencies)
--dry-run-db Force dry run to use a local DB
"tradesv3.dry_run.sqlite" instead of memory DB. Work
only if dry_run is enabled.
```
More details on:
- [How to run the bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#bot-commands)
- [How to use Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#backtesting-commands)
- [How to use Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands)
### Telegram RPC commands
Telegram is not mandatory. However, this is a great way to control your
bot. More details on our
[documentation](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
[documentation](https://github.com/freqtrade/freqtrade/blob/develop/docs/index.md)
- `/start`: Starts the trader
- `/stop`: Stops the trader
@ -192,6 +142,48 @@ bot. More details on our
- `/help`: Show help message
- `/version`: Show version
## Development branches
The project is currently setup in two main branches:
- `develop` - This branch has often new features, but might also cause
breaking changes.
- `master` - This branch contains the latest stable release. The bot
'should' be stable on this branch, and is generally well tested.
## Support
### Help / Slack
For any questions not covered by the documentation or for further
information about the bot, we encourage you to join our slack channel.
- [Click here to join Slack channel](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE).
### [Bugs / Issues](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue)
If you discover a bug in the bot, please
[search our issue tracker](https://github.com/freqtrade/freqtrade/issues?q=is%3Aissue)
first. If it hasn't been reported, please
[create a new issue](https://github.com/freqtrade/freqtrade/issues/new) and
ensure you follow the template guide so that our team can assist you as
quickly as possible.
### [Feature Requests](https://github.com/freqtrade/freqtrade/labels/enhancement)
Have you a great idea to improve the bot you want to share? Please,
first search if this feature was not [already discussed](https://github.com/freqtrade/freqtrade/labels/enhancement).
If it hasn't been requested, please
[create a new request](https://github.com/freqtrade/freqtrade/issues/new)
and ensure you follow the template guide so that it does not get lost
in the bug reports.
### [Pull Requests](https://github.com/freqtrade/freqtrade/pulls)
Feel like our bot is missing a feature? We welcome your pull requests!
Please read our
[Contributing document](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
to understand the requirements before sending your pull-requests.
**Note** before starting any major new feature work, *please open an issue describing what you are planning to do* or talk to us on [Slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE). This will ensure that interested parties can give valuable feedback on the feature, and let others know that you are working on it.
**Important:** Always create your PR against the `develop` branch, not
`master`.
## Requirements
### Min hardware required

26
config.json.example
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@ -3,6 +3,7 @@
"stake_currency": "BTC",
"stake_amount": 0.05,
"fiat_display_currency": "USD",
"ticker_interval" : "5m",
"dry_run": false,
"unfilledtimeout": 600,
"bid_strategy": {
@ -13,24 +14,25 @@
"key": "your_exchange_key",
"secret": "your_exchange_secret",
"pair_whitelist": [
"BTC_ETH",
"BTC_LTC",
"BTC_ETC",
"BTC_DASH",
"BTC_ZEC",
"BTC_XLM",
"BTC_NXT",
"BTC_POWR",
"BTC_ADA",
"BTC_XMR"
"ETH/BTC",
"LTC/BTC",
"ETC/BTC",
"DASH/BTC",
"ZEC/BTC",
"XLM/BTC",
"NXT/BTC",
"POWR/BTC",
"ADA/BTC",
"XMR/BTC"
],
"pair_blacklist": [
"BTC_DOGE"
"DOGE/BTC"
]
},
"experimental": {
"use_sell_signal": false,
"sell_profit_only": false
"sell_profit_only": false,
"ignore_roi_if_buy_signal": false
},
"telegram": {
"enabled": true,

28
config_full.json.example
View File

@ -4,7 +4,7 @@
"stake_amount": 0.05,
"fiat_display_currency": "USD",
"dry_run": false,
"ticker_interval": 5,
"ticker_interval": "5m",
"minimal_roi": {
"40": 0.0,
"30": 0.01,
@ -21,30 +21,32 @@
"key": "your_exchange_key",
"secret": "your_exchange_secret",
"pair_whitelist": [
"BTC_ETH",
"BTC_LTC",
"BTC_ETC",
"BTC_DASH",
"BTC_ZEC",
"BTC_XLM",
"BTC_NXT",
"BTC_POWR",
"BTC_ADA",
"BTC_XMR"
"ETH/BTC",
"LTC/BTC",
"ETC/BTC",
"DASH/BTC",
"ZEC/BTC",
"XLM/BTC",
"NXT/BTC",
"POWR/BTC",
"ADA/BTC",
"XMR/BTC"
],
"pair_blacklist": [
"BTC_DOGE"
"DOGE/BTC"
]
},
"experimental": {
"use_sell_signal": false,
"sell_profit_only": false
"sell_profit_only": false,
"ignore_roi_if_buy_signal": false
},
"telegram": {
"enabled": true,
"token": "your_telegram_token",
"chat_id": "your_telegram_chat_id"
},
"db_url": "sqlite:///tradesv3.sqlite",
"initial_state": "running",
"internals": {
"process_throttle_secs": 5

155
docs/backtesting.md
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@ -1,137 +1,186 @@
# Backtesting
This page explains how to validate your strategy performance by using
Backtesting.
## Table of Contents
- [Test your strategy with Backtesting](#test-your-strategy-with-backtesting)
- [Understand the backtesting result](#understand-the-backtesting-result)
## Test your strategy with Backtesting
Now you have good Buy and Sell strategies, you want to test it against
real data. This is what we call
[backtesting](https://en.wikipedia.org/wiki/Backtesting).
Backtesting will use the crypto-currencies (pair) from your config file
and load static tickers located in
[/freqtrade/tests/testdata](https://github.com/gcarq/freqtrade/tree/develop/freqtrade/tests/testdata).
[/freqtrade/tests/testdata](https://github.com/freqtrade/freqtrade/tree/develop/freqtrade/tests/testdata).
If the 5 min and 1 min ticker for the crypto-currencies to test is not
already in the `testdata` folder, backtesting will download them
automatically. Testdata files will not be updated until you specify it.
The result of backtesting will confirm you if your bot as more chance to
make a profit than a loss.
The result of backtesting will confirm you if your bot has better odds of making a profit than a loss.
The backtesting is very easy with freqtrade.
### Run a backtesting against the currencies listed in your config file
**With 5 min tickers (Per default)**
#### With 5 min tickers (Per default)
```bash
python3 ./freqtrade/main.py backtesting --realistic-simulation
```
**With 1 min tickers**
#### With 1 min tickers
```bash
python3 ./freqtrade/main.py backtesting --realistic-simulation --ticker-interval 1
python3 ./freqtrade/main.py backtesting --realistic-simulation --ticker-interval 1m
```
**Reload your testdata files**
#### Update cached pairs with the latest data
```bash
python3 ./freqtrade/main.py backtesting --realistic-simulation --refresh-pairs-cached
```
**With live data (do not alter your testdata files)**
#### With live data (do not alter your testdata files)
```bash
python3 ./freqtrade/main.py backtesting --realistic-simulation --live
```
**Using a different on-disk ticker-data source**
#### Using a different on-disk ticker-data source
```bash
python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
```
**With a (custom) strategy file**
```bash
python3 ./freqtrade/main.py -s currentstrategy backtesting
```
Where `-s currentstrategy` refers to a filename `currentstrategy.py` in `freqtrade/user_data/strategies`
#### With a (custom) strategy file
```bash
python3 ./freqtrade/main.py -s TestStrategy backtesting
```
Where `-s TestStrategy` refers to the class name within the strategy file `test_strategy.py` found in the `freqtrade/user_data/strategies` directory
#### Exporting trades to file
**Exporting trades to file**
```bash
python3 ./freqtrade/main.py backtesting --export trades
```
**Running backtest with smaller testset**
#### Exporting trades to file specifying a custom filename
```bash
python3 ./freqtrade/main.py backtesting --export trades --export-filename=backtest_teststrategy.json
```
#### Running backtest with smaller testset
Use the `--timerange` argument to change how much of the testset
you want to use. The last N ticks/timeframes will be used.
Example:
```bash
python3 ./freqtrade/main.py backtesting --timerange=-200
```
***Advanced use of timerange***
#### Advanced use of timerange
Doing `--timerange=-200` will get the last 200 timeframes
from your inputdata. You can also specify specific dates,
or a range span indexed by start and stop.
The full timerange specification:
- Use last 123 tickframes of data: `--timerange=-123`
- Use first 123 tickframes of data: `--timerange=123-`
- Use tickframes from line 123 through 456: `--timerange=123-456`
- Use tickframes till 2018/01/31: `--timerange=-20180131`
- Use tickframes since 2018/01/31: `--timerange=20180131-`
- Use tickframes since 2018/01/31 till 2018/03/01 : `--timerange=20180131-20180301`
- Use tickframes between POSIX timestamps 1527595200 1527618600:
`--timerange=1527595200-1527618600`
#### Downloading new set of ticker data
Incoming feature, not implemented yet:
- `--timerange=-20180131`
- `--timerange=20180101-`
- `--timerange=20180101-20181231`
To download new set of backtesting ticker data, you can use a download script.
If you are using Binance for example:
**Update testdata directory**
To update your testdata directory, or download into another testdata directory:
```bash
mkdir -p user_data/data/testdata-20180113
cp freqtrade/tests/testdata/pairs.json user_data/data-20180113
cd user_data/data-20180113
```
Possibly edit pairs.json file to include/exclude pairs
- create a folder `user_data/data/binance` and copy `pairs.json` in that folder.
- update the `pairs.json` to contain the currency pairs you are interested in.
```bash
python3 freqtrade/tests/testdata/download_backtest_data.py -p pairs.json
mkdir -p user_data/data/binance
cp freqtrade/tests/testdata/pairs.json user_data/data/binance
```
The script will read your pairs.json file, and download ticker data
into the current working directory.
Then run:
```bash
python scripts/download_backtest_data --exchange binance
```
For help about backtesting usage, please refer to
[Backtesting commands](#backtesting-commands).
This will download ticker data for all the currency pairs you defined in `pairs.json`.
- To use a different folder than the exchange specific default, use `--export user_data/data/some_directory`.
- To change the exchange used to download the tickers, use `--exchange`. Default is `bittrex`.
- To use `pairs.json` from some other folder, use `--pairs-file some_other_dir/pairs.json`.
- To download ticker data for only 10 days, use `--days 10`.
- Use `--timeframes` to specify which tickers to download. Default is `--timeframes 1m 5m` which will download 1-minute and 5-minute tickers.
For help about backtesting usage, please refer to [Backtesting commands](#backtesting-commands).
## Understand the backtesting result
The most important in the backtesting is to understand the result.
A backtesting result will look like that:
```
====================== BACKTESTING REPORT ================================
pair buy count avg profit % total profit BTC avg duration
-------- ----------- -------------- ------------------ --------------
BTC_ETH 56 -0.67 -0.00075455 62.3
BTC_LTC 38 -0.48 -0.00036315 57.9
BTC_ETC 42 -1.15 -0.00096469 67.0
BTC_DASH 72 -0.62 -0.00089368 39.9
BTC_ZEC 45 -0.46 -0.00041387 63.2
BTC_XLM 24 -0.88 -0.00041846 47.7
BTC_NXT 24 0.68 0.00031833 40.2
BTC_POWR 35 0.98 0.00064887 45.3
BTC_ADA 43 -0.39 -0.00032292 55.0
BTC_XMR 40 -0.40 -0.00032181 47.4
TOTAL 419 -0.41 -0.00348593 52.9
======================================== BACKTESTING REPORT =========================================
| pair | buy count | avg profit % | total profit BTC | avg duration | profit | loss |
|:---------|------------:|---------------:|-------------------:|---------------:|---------:|-------:|
| ETH/BTC | 44 | 0.18 | 0.00159118 | 50.9 | 44 | 0 |
| LTC/BTC | 27 | 0.10 | 0.00051931 | 103.1 | 26 | 1 |
| ETC/BTC | 24 | 0.05 | 0.00022434 | 166.0 | 22 | 2 |
| DASH/BTC | 29 | 0.18 | 0.00103223 | 192.2 | 29 | 0 |
| ZEC/BTC | 65 | -0.02 | -0.00020621 | 202.7 | 62 | 3 |
| XLM/BTC | 35 | 0.02 | 0.00012877 | 242.4 | 32 | 3 |
| BCH/BTC | 12 | 0.62 | 0.00149284 | 50.0 | 12 | 0 |
| POWR/BTC | 21 | 0.26 | 0.00108215 | 134.8 | 21 | 0 |
| ADA/BTC | 54 | -0.19 | -0.00205202 | 191.3 | 47 | 7 |
| XMR/BTC | 24 | -0.43 | -0.00206013 | 120.6 | 20 | 4 |
| TOTAL | 335 | 0.03 | 0.00175246 | 157.9 | 315 | 20 |
2018-06-13 06:57:27,347 - freqtrade.optimize.backtesting - INFO -
====================================== LEFT OPEN TRADES REPORT ======================================
| pair | buy count | avg profit % | total profit BTC | avg duration | profit | loss |
|:---------|------------:|---------------:|-------------------:|---------------:|---------:|-------:|
| ETH/BTC | 3 | 0.16 | 0.00009619 | 25.0 | 3 | 0 |
| LTC/BTC | 1 | -1.00 | -0.00020118 | 1085.0 | 0 | 1 |
| ETC/BTC | 2 | -1.80 | -0.00071933 | 1092.5 | 0 | 2 |
| DASH/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
| ZEC/BTC | 3 | -4.27 | -0.00256826 | 1301.7 | 0 | 3 |
| XLM/BTC | 3 | -1.11 | -0.00066744 | 965.0 | 0 | 3 |
| BCH/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
| POWR/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
| ADA/BTC | 7 | -3.58 | -0.00503604 | 850.0 | 0 | 7 |
| XMR/BTC | 4 | -3.79 | -0.00303456 | 291.2 | 0 | 4 |
| TOTAL | 23 | -2.63 | -0.01213062 | 750.4 | 3 | 20 |
```
The 1st table will contain all trades the bot made.
The 2nd table will contain all trades the bot had to `forcesell` at the end of the backtest period to prsent a full picture.
These trades are also included in the first table, but are extracted separately for clarity.
The last line will give you the overall performance of your strategy,
here:
```
TOTAL 419 -0.41 -0.00348593 52.9
```
@ -147,6 +196,7 @@ strategy, your sell strategy, and also by the `minimal_roi` and
As for an example if your minimal_roi is only `"0": 0.01`. You cannot
expect the bot to make more profit than 1% (because it will sell every
time a trade will reach 1%).
```json
"minimal_roi": {
"0": 0.01
@ -159,6 +209,7 @@ profit. Hence, keep in mind that your performance is a mix of your
strategies, your configuration, and the crypto-currency you have set up.
## Next step
Great, your strategy is profitable. What if the bot can give your the
optimal parameters to use for your strategy?
Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)

43
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View File

@ -1,8 +1,10 @@
# Bot Optimization
This page explains where to customize your strategies, and add new
indicators.
## Table of Contents
- [Install a custom strategy file](#install-a-custom-strategy-file)
- [Customize your strategy](#change-your-strategy)
- [Add more Indicator](#add-more-indicator)
@ -11,10 +13,12 @@ indicators.
Since the version `0.16.0` the bot allows using custom strategy file.
## Install a custom strategy file
This is very simple. Copy paste your strategy file into the folder
`user_data/strategies`.
Let assume you have a class called `AwesomeStrategy` in the file `awesome-strategy.py`:
1. Move your file into `user_data/strategies` (you should have `user_data/strategies/awesome-strategy.py`
2. Start the bot with the param `--strategy AwesomeStrategy` (the parameter is the class name)
@ -23,12 +27,14 @@ python3 ./freqtrade/main.py --strategy AwesomeStrategy
```
## Change your strategy
The bot includes a default strategy file. However, we recommend you to
use your own file to not have to lose your parameters every time the default
strategy file will be updated on Github. Put your custom strategy file
into the folder `user_data/strategies`.
A strategy file contains all the information needed to build a good strategy:
- Buy strategy rules
- Sell strategy rules
- Minimal ROI recommended
@ -38,25 +44,28 @@ A strategy file contains all the information needed to build a good strategy:
The bot also include a sample strategy called `TestStrategy` you can update: `user_data/strategies/test_strategy.py`.
You can test it with the parameter: `--strategy TestStrategy`
```bash
``` bash
python3 ./freqtrade/main.py --strategy AwesomeStrategy
```
### Specify custom strategy location
If you want to use a strategy from a different folder you can pass `--strategy-path`
```bash
python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/folder
```
**For the following section we will use the [user_data/strategies/test_strategy.py](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
**For the following section we will use the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
file as reference.**
### Buy strategy
Edit the method `populate_buy_trend()` into your strategy file to
update your buy strategy.
Sample from `user_data/strategies/test_strategy.py`:
```python
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
"""
@ -76,10 +85,11 @@ def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
```
### Sell strategy
Edit the method `populate_sell_trend()` into your strategy file to
update your sell strategy.
Edit the method `populate_sell_trend()` into your strategy file to update your sell strategy.
Sample from `user_data/strategies/test_strategy.py`:
```python
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
"""
@ -98,11 +108,13 @@ def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
```
## Add more Indicator
As you have seen, buy and sell strategies need indicators. You can add
more indicators by extending the list contained in
the method `populate_indicators()` from your strategy file.
Sample:
```python
def populate_indicators(dataframe: DataFrame) -> DataFrame:
"""
@ -137,16 +149,25 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
return dataframe
```
**Want more indicators example?**
Look into the [user_data/strategies/test_strategy.py](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py).
### Want more indicator examples
Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).
Then uncomment indicators you need.
### Where is the default strategy?
The default buy strategy is located in the file
[freqtrade/default_strategy.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/strategy/default_strategy.py).
The default buy strategy is located in the file
[freqtrade/default_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/strategy/default_strategy.py).
### Further strategy ideas
To get additional Ideas for strategies, head over to our [strategy repository](https://github.com/freqtrade/freqtrade-strategies). Feel free to use them as they are - but results will depend on the current market situation, pairs used etc. - therefore please backtest the strategy for your exchange/desired pairs first, evaluate carefully, use at your own risk.
Feel free to use any of them as inspiration for your own strategies.
We're happy to accept Pull Requests containing new Strategies to that repo.
We also got a *strategy-sharing* channel in our [Slack community](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE) which is a great place to get and/or share ideas.
## Next step
Now you have a perfect strategy you probably want to backtesting it.
Your next step is to learn [How to use the Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md).
Now you have a perfect strategy you probably want to backtest it.
Your next step is to learn [How to use the Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md).

81
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@ -9,9 +9,10 @@ it.
## Bot commands
```
usage: main.py [-h] [-c PATH] [-v] [--version] [--dynamic-whitelist [INT]]
[--dry-run-db]
{backtesting,hyperopt} ...
usage: freqtrade [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
[--strategy-path PATH] [--dynamic-whitelist [INT]]
[--db-url PATH]
{backtesting,hyperopt} ...
Simple High Frequency Trading Bot for crypto currencies
@ -26,17 +27,17 @@ optional arguments:
--version show program's version number and exit
-c PATH, --config PATH
specify configuration file (default: config.json)
-d PATH, --datadir PATH
path to backtest data
-s NAME, --strategy NAME
specify strategy class name (default: DefaultStrategy)
--strategy-path PATH specify additional strategy lookup path
--dry-run-db Force dry run to use a local DB
"tradesv3.dry_run.sqlite" instead of memory DB. Work
only if dry_run is enabled.
--datadir PATH
path to backtest data (default freqdata/tests/testdata
--dynamic-whitelist [INT]
dynamically generate and update whitelist based on 24h
BaseVolume (Default 20 currencies)
BaseVolume (default: 20)
--db-url PATH Override trades database URL, this is useful if
dry_run is enabled or in custom deployments (default:
sqlite:///tradesv3.sqlite)
```
### How to use a different config file?
@ -66,7 +67,7 @@ python3 ./freqtrade/main.py --strategy AwesomeStrategy
If the bot does not find your strategy file, it will display in an error
message the reason (File not found, or errors in your code).
Learn more about strategy file in [optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md).
Learn more about strategy file in [optimize your bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md).
### How to use --strategy-path?
This parameter allows you to add an additional strategy lookup path, which gets
@ -100,14 +101,14 @@ python3 ./freqtrade/main.py --dynamic-whitelist 30
negative value (e.g -2), `--dynamic-whitelist` will use the default
value (20).
### How to use --dry-run-db?
### How to use --db-url?
When you run the bot in Dry-run mode, per default no transactions are
stored in a database. If you want to store your bot actions in a DB
using `--dry-run-db`. This command will use a separate database file
`tradesv3.dry_run.sqlite`
using `--db-url`. This can also be used to specify a custom database
in production mode. Example command:
```bash
python3 ./freqtrade/main.py -c config.json --dry-run-db
python3 ./freqtrade/main.py -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
```
@ -116,21 +117,32 @@ python3 ./freqtrade/main.py -c config.json --dry-run-db
Backtesting also uses the config specified via `-c/--config`.
```
usage: freqtrade backtesting [-h] [-l] [-i INT] [--realistic-simulation]
[-r]
usage: main.py backtesting [-h] [-i TICKER_INTERVAL] [--realistic-simulation]
[--timerange TIMERANGE] [-l] [-r] [--export EXPORT]
[--export-filename EXPORTFILENAME]
optional arguments:
-h, --help show this help message and exit
-l, --live using live data
-i INT, --ticker-interval INT
specify ticker interval in minutes (default: 5)
-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
specify ticker interval (1m, 5m, 30m, 1h, 1d)
--realistic-simulation
uses max_open_trades from config to simulate real
world limitations
--timerange TIMERANGE
specify what timerange of data to use.
-l, --live using live data
-r, --refresh-pairs-cached
refresh the pairs files in tests/testdata with
the latest data from Bittrex. Use it if you want
to run your backtesting with up-to-date data.
refresh the pairs files in tests/testdata with the
latest data from the exchange. Use it if you want to
run your backtesting with up-to-date data.
--export EXPORT export backtest results, argument are: trades Example
--export=trades
--export-filename EXPORTFILENAME
Save backtest results to this filename requires
--export to be set as well Example --export-
filename=backtest_today.json (default: backtest-
result.json
```
### How to use --refresh-pairs-cached parameter?
@ -148,26 +160,33 @@ the parameter `-l` or `--live`.
## Hyperopt commands
It is possible to use hyperopt for trading strategy optimization.
Hyperopt uses an internal json config return by `hyperopt_optimize_conf()`
located in `freqtrade/optimize/hyperopt_conf.py`.
To optimize your strategy, you can use hyperopt parameter hyperoptimization
to find optimal parameter values for your stategy.
```
usage: freqtrade hyperopt [-h] [-e INT] [--use-mongodb]
usage: main.py hyperopt [-h] [-i TICKER_INTERVAL] [--realistic-simulation]
[--timerange TIMERANGE] [-e INT]
[-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]]
optional arguments:
-h, --help show this help message and exit
-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
specify ticker interval (1m, 5m, 30m, 1h, 1d)
--realistic-simulation
uses max_open_trades from config to simulate real
world limitations
--timerange TIMERANGE specify what timerange of data to use.
-e INT, --epochs INT specify number of epochs (default: 100)
--use-mongodb parallelize evaluations with mongodb (requires mongod
in PATH)
-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...], --spaces {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]
Specify which parameters to hyperopt. Space separate
list. Default: all
```
## A parameter missing in the configuration?
All parameters for `main.py`, `backtesting`, `hyperopt` are referenced
in [misc.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/misc.py#L84)
in [misc.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/misc.py#L84)
## Next step
The optimal strategy of the bot will change with time depending of the
market trends. The next step is to
[optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md).
[optimize your bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md).

55
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@ -16,31 +16,40 @@ The table below will list all configuration parameters.
|----------|---------|----------|-------------|
| `max_open_trades` | 3 | Yes | Number of trades open your bot will have.
| `stake_currency` | BTC | Yes | Crypto-currency used for trading.
| `stake_amount` | 0.05 | Yes | Amount of crypto-currency your bot will use for each trade. Per default, the bot will use (0.05 BTC x 3) = 0.15 BTC in total will be always engaged.
| `ticker_interval` | [1, 5, 30, 60, 1440] | No | The ticker interval to use (1min, 5 min, 30 min, 1 hour or 1 day). Defaut is 5 minutes
| `stake_amount` | 0.05 | Yes | Amount of crypto-currency your bot will use for each trade. Per default, the bot will use (0.05 BTC x 3) = 0.15 BTC in total will be always engaged. Set it to 'unlimited' to allow the bot to use all avaliable balance.
| `ticker_interval` | [1m, 5m, 30m, 1h, 1d] | No | The ticker interval to use (1min, 5 min, 30 min, 1 hour or 1 day). Default is 5 minutes
| `fiat_display_currency` | USD | Yes | Fiat currency used to show your profits. More information below.
| `dry_run` | true | Yes | Define if the bot must be in Dry-run or production mode.
| `minimal_roi` | See below | No | Set the threshold in percent the bot will use to sell a trade. More information below. If set, this parameter will override `minimal_roi` from your strategy file.
| `stoploss` | -0.10 | No | Value of the stoploss in percent used by the bot. More information below. If set, this parameter will override `stoploss` from your strategy file.
| `unfilledtimeout` | 0 | No | How long (in minutes) the bot will wait for an unfilled order to complete, after which the order will be cancelled.
| `bid_strategy.ask_last_balance` | 0.0 | Yes | Set the bidding price. More information below.
| `exchange.name` | bittrex | Yes | Name of the exchange class to use.
| `exchange.name` | bittrex | Yes | Name of the exchange class to use. [List below](#user-content-what-values-for-exchangename).
| `exchange.key` | key | No | API key to use for the exchange. Only required when you are in production mode.
| `exchange.secret` | secret | No | API secret to use for the exchange. Only required when you are in production mode.
| `exchange.pair_whitelist` | [] | No | List of currency to use by the bot. Can be overrided with `--dynamic-whitelist` param.
| `exchange.pair_blacklist` | [] | No | List of currency the bot must avoid. Useful when using `--dynamic-whitelist` param.
| `experimental.use_sell_signal` | false | No | Use your sell strategy in addition of the `minimal_roi`.
| `experimental.sell_profit_only` | false | No | waits until you have made a positive profit before taking a sell decision.
| `experimental.ignore_roi_if_buy_signal` | false | No | Does not sell if the buy-signal is still active. Takes preference over `minimal_roi` and `use_sell_signal`
| `telegram.enabled` | true | Yes | Enable or not the usage of Telegram.
| `telegram.token` | token | No | Your Telegram bot token. Only required if `telegram.enabled` is `true`.
| `telegram.chat_id` | chat_id | No | Your personal Telegram account id. Only required if `telegram.enabled` is `true`.
| `db_url` | `sqlite:///tradesv3.sqlite` | No | Declares database URL to use. NOTE: This defaults to `sqlite://` if `dry_run` is `True`.
| `initial_state` | running | No | Defines the initial application state. More information below.
| `strategy` | DefaultStrategy | No | Defines Strategy class to use.
| `strategy_path` | null | No | Adds an additional strategy lookup path (must be a folder).
| `internals.process_throttle_secs` | 5 | Yes | Set the process throttle. Value in second.
The definition of each config parameters is in
[misc.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/misc.py#L205).
[misc.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/misc.py#L205).
### Understand stake_amount
`stake_amount` is an amount of crypto-currency your bot will use for each trade.
The minimal value is 0.0005. If there is not enough crypto-currency in
the account an exception is generated.
To allow the bot to trade all the avaliable `stake_currency` in your account set `stake_amount` = `unlimited`.
In this case a trade amount is calclulated as `currency_balanse / (max_open_trades - current_open_trades)`.
### Understand minimal_roi
`minimal_roi` is a JSON object where the key is a duration
@ -73,15 +82,35 @@ value. This parameter is optional. If you use it, it will take over the
Possible values are `running` or `stopped`. (default=`running`)
If the value is `stopped` the bot has to be started with `/start` first.
### Understand process_throttle_secs
`process_throttle_secs` is an optional field that defines in seconds how long the bot should wait
before asking the strategy if we should buy or a sell an asset. After each wait period, the strategy is asked again for
every opened trade wether or not we should sell, and for all the remaining pairs (either the dynamic list of pairs or
the static list of pairs) if we should buy.
### Understand ask_last_balance
`ask_last_balance` sets the bidding price. Value `0.0` will use `ask` price, `1.0` will
use the `last` price and values between those interpolate between ask and last
price. Using `ask` price will guarantee quick success in bid, but bot will also
end up paying more then would probably have been necessary.
### What values for exchange.name?
Freqtrade is based on [CCXT library](https://github.com/ccxt/ccxt) that supports 115 cryptocurrency
exchange markets and trading APIs. The complete up-to-date list can be found in the
[CCXT repo homepage](https://github.com/ccxt/ccxt/tree/master/python). However, the bot was tested
with only Bittrex and Binance.
The bot was tested with the following exchanges:
- [Bittrex](https://bittrex.com/): "bittrex"
- [Binance](https://www.binance.com/): "binance"
Feel free to test other exchanges and submit your PR to improve the bot.
### What values for fiat_display_currency?
`fiat_display_currency` set the fiat to use for the conversion form coin to fiat in Telegram.
The valid value are: "AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK", "EUR", "GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY", "KRW", "MXN", "MYR", "NOK", "NZD", "PHP", "PKR", "PLN", "RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD".
`fiat_display_currency` set the base currency to use for the conversion from coin to fiat in Telegram.
The valid values are: "AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK", "EUR", "GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY", "KRW", "MXN", "MYR", "NOK", "NZD", "PHP", "PKR", "PLN", "RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD".
In addition to central bank currencies, a range of cryto currencies are supported.
The valid values are: "BTC", "ETH", "XRP", "LTC", "BCH", "USDT".
## Switch to dry-run mode
We recommend starting the bot in dry-run mode to see how your bot will
@ -91,12 +120,13 @@ creating trades.
### To switch your bot in Dry-run mode:
1. Edit your `config.json` file
2. Switch dry-run to true
2. Switch dry-run to true and specify db_url for a persistent db
```json
"dry_run": true,
"db_url": "sqlite///tradesv3.dryrun.sqlite",
```
3. Remove your Bittrex API key (change them by fake api credentials)
3. Remove your Exchange API key (change them by fake api credentials)
```json
"exchange": {
"name": "bittrex",
@ -117,12 +147,12 @@ you run it in production mode.
### To switch your bot in production mode:
1. Edit your `config.json` file
2. Switch dry-run to false
2. Switch dry-run to false and don't forget to adapt your database URL if set
```json
"dry_run": false,
```
3. Insert your Bittrex API key (change them by fake api keys)
3. Insert your Exchange API key (change them by fake api keys)
```json
"exchange": {
"name": "bittrex",
@ -132,9 +162,8 @@ you run it in production mode.
}
```
If you have not your Bittrex API key yet,
[see our tutorial](https://github.com/gcarq/freqtrade/blob/develop/docs/pre-requisite.md).
[see our tutorial](https://github.com/freqtrade/freqtrade/blob/develop/docs/pre-requisite.md).
## Next step
Now you have configured your config.json, the next step is to
[start your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md).
[start your bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md).

2
docs/faq.md
View File

@ -27,7 +27,7 @@ like pauses. You can stop your bot, adjust settings and start it again.
#### I want to improve the bot with a new strategy
That's great. We have a nice backtesting and hyperoptimizing setup. See
the tutorial [here|Testing-new-strategies-with-Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands).
the tutorial [here|Testing-new-strategies-with-Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands).
#### Is there a setting to only SELL the coins being held and not
perform anymore BUYS?

48
docs/hyperopt.md
View File

@ -9,18 +9,17 @@ parameters with Hyperopt.
- [Advanced Hyperopt notions](#advanced-notions)
- [Understand the Guards and Triggers](#understand-the-guards-and-triggers)
- [Execute Hyperopt](#execute-hyperopt)
- [Hyperopt with MongoDB](#hyperopt-with-mongoDB)
- [Understand the hyperopts result](#understand-the-backtesting-result)
## Prepare Hyperopt
Before we start digging in Hyperopt, we recommend you to take a look at
your strategy file located into [user_data/strategies/](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
your strategy file located into [user_data/strategies/](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py)
### 1. Configure your Guards and Triggers
There are two places you need to change in your strategy file to add a
new buy strategy for testing:
- Inside [populate_buy_trend()](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L278-L294).
- Inside [hyperopt_space()](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L244-L297) known as `SPACE`.
- Inside [populate_buy_trend()](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L278-L294).
- Inside [hyperopt_space()](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L244-L297) known as `SPACE`.
There you have two different type of indicators: 1. `guards` and 2.
`triggers`.
@ -110,13 +109,13 @@ cannot use your config file. It is also made on purpose to allow you
testing your strategy with different configurations.
The Hyperopt configuration is located in
[user_data/hyperopt_conf.py](https://github.com/gcarq/freqtrade/blob/develop/user_data/hyperopt_conf.py).
[user_data/hyperopt_conf.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/hyperopt_conf.py).
## Advanced notions
### Understand the Guards and Triggers
When you need to add the new guards and triggers to be hyperopt
parameters, you do this by adding them into the [hyperopt_space()](https://github.com/gcarq/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L244-L297).
parameters, you do this by adding them into the [hyperopt_space()](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py#L244-L297).
If it's a trigger, you add one line to the 'trigger' choice group and that's it.
@ -194,41 +193,6 @@ Legal values are:
- `stoploss`: search for the best stoploss value
- space-separated list of any of the above values for example `--spaces roi stoploss`
### Hyperopt with MongoDB
Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
executing the previous command is the execution takes a long time.
To accelerate it you can use hyperopt with MongoDB.
To run hyperopt with MongoDb you will need 3 terminals.
**Terminal 1: Start MongoDB**
```bash
cd <freqtrade>
source .env/bin/activate
python3 scripts/start-mongodb.py
```
**Terminal 2: Start Hyperopt worker**
```bash
cd <freqtrade>
source .env/bin/activate
python3 scripts/start-hyperopt-worker.py
```
**Terminal 3: Start Hyperopt with MongoDB**
```bash
cd <freqtrade>
source .env/bin/activate
python3 ./freqtrade/main.py -c config.json hyperopt --use-mongodb
```
**Re-run an Hyperopt**
To re-run Hyperopt you have to delete the existing MongoDB table.
```bash
cd <freqtrade>
rm -rf .hyperopt/mongodb/
```
## Understand the hyperopts result
Once Hyperopt is completed you can use the result to adding new buy
signal. Given following result from hyperopt:
@ -312,4 +276,4 @@ def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
## Next step
Now you have a perfect bot and want to control it from Telegram. Your
next step is to learn the [Telegram usage](https://github.com/gcarq/freqtrade/blob/develop/docs/telegram-usage.md).
next step is to learn the [Telegram usage](https://github.com/freqtrade/freqtrade/blob/develop/docs/telegram-usage.md).

48
docs/index.md
View File

@ -6,27 +6,27 @@ Pull-request. Do not hesitate to reach us on
if you do not find the answer to your questions.
## Table of Contents
- [Pre-requisite](https://github.com/gcarq/freqtrade/blob/develop/docs/pre-requisite.md)
- [Setup your Bittrex account](https://github.com/gcarq/freqtrade/blob/develop/docs/pre-requisite.md#setup-your-bittrex-account)
- [Setup your Telegram bot](https://github.com/gcarq/freqtrade/blob/develop/docs/pre-requisite.md#setup-your-telegram-bot)
- [Bot Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md)
- [Install with Docker (all platforms)](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md#docker)
- [Install on Linux Ubuntu](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md#21-linux---ubuntu-1604)
- [Install on MacOS](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md#23-macos-installation)
- [Install on Windows](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md#windows)
- [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)
- [Bot usage (Start your bot)](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md)
- [Bot commands](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#bot-commands)
- [Backtesting commands](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#backtesting-commands)
- [Hyperopt commands](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands)
- [Bot Optimization](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md)
- [Change your strategy](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md#change-your-strategy)
- [Add more Indicator](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md#add-more-indicator)
- [Test your strategy with Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md)
- [Find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
- [Control the bot with telegram](https://github.com/gcarq/freqtrade/blob/develop/docs/telegram-usage.md)
- [Contribute to the project](https://github.com/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
- [How to contribute](https://github.com/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
- [Run tests & Check PEP8 compliance](https://github.com/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
- [FAQ](https://github.com/gcarq/freqtrade/blob/develop/docs/faq.md)
- [SQL cheatsheet](https://github.com/gcarq/freqtrade/blob/develop/docs/sql_cheatsheet.md)
- [Pre-requisite](https://github.com/freqtrade/freqtrade/blob/develop/docs/pre-requisite.md)
- [Setup your Bittrex account](https://github.com/freqtrade/freqtrade/blob/develop/docs/pre-requisite.md#setup-your-bittrex-account)
- [Setup your Telegram bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/pre-requisite.md#setup-your-telegram-bot)
- [Bot Installation](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md)
- [Install with Docker (all platforms)](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md#docker)
- [Install on Linux Ubuntu](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md#21-linux---ubuntu-1604)
- [Install on MacOS](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md#23-macos-installation)
- [Install on Windows](https://github.com/freqtrade/freqtrade/blob/develop/docs/installation.md#windows)
- [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md)
- [Bot usage (Start your bot)](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md)
- [Bot commands](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#bot-commands)
- [Backtesting commands](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#backtesting-commands)
- [Hyperopt commands](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-usage.md#hyperopt-commands)
- [Bot Optimization](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md)
- [Change your strategy](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md#change-your-strategy)
- [Add more Indicator](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md#add-more-indicator)
- [Test your strategy with Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md)
- [Find optimal parameters with Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
- [Control the bot with telegram](https://github.com/freqtrade/freqtrade/blob/develop/docs/telegram-usage.md)
- [Contribute to the project](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
- [How to contribute](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
- [Run tests & Check PEP8 compliance](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
- [FAQ](https://github.com/freqtrade/freqtrade/blob/develop/docs/faq.md)
- [SQL cheatsheet](https://github.com/freqtrade/freqtrade/blob/develop/docs/sql_cheatsheet.md)

151
docs/installation.md
View File

@ -2,12 +2,13 @@
This page explains how to prepare your environment for running the bot.
To understand how to set up the bot please read the [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md) page.
To understand how to set up the bot please read the [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md) page.
## Table of Contents
* [Table of Contents](#table-of-contents)
* [Easy Installation - Linux Script](#easy-installation---linux-script)
* [Manual installation](#manual-installation)
* [Automatic Installation - Docker](#automatic-installation---docker)
* [Custom Linux MacOS Installation](#custom-installation)
- [Requirements](#requirements)
@ -16,7 +17,6 @@ To understand how to set up the bot please read the [Bot Configuration](https://
- [Setup Config and virtual env](#setup-config-and-virtual-env)
* [Windows](#windows)
<!-- /TOC -->
------
@ -35,7 +35,9 @@ usage:
```
### --install
This script will install everything you need to run the bot:
* Mandatory software as: `Python3`, `ta-lib`, `wget`
* Setup your virtualenv
* Configure your `config.json` file
@ -43,14 +45,39 @@ This script will install everything you need to run the bot:
This script is a combination of `install script` `--reset`, `--config`
### --update
Update parameter will pull the last version of your current branch and update your virtualenv.
### --reset
Reset parameter will hard reset your branch (only if you are on `master` or `develop`) and recreate your virtualenv.
### --config
Config parameter is a `config.json` configurator. This script will ask you questions to setup your bot and create your `config.json`.
## Manual installation - Linux/MacOS
The following steps are made for Linux/MacOS environment
**1. Clone the repo**
```bash
git clone git@github.com:freqtrade/freqtrade.git
git checkout develop
cd freqtrade
```
**2. Create the config file**
Switch `"dry_run": true,`
```bash
cp config.json.example config.json
vi config.json
```
**3. Build your docker image and run it**
```bash
docker build -t freqtrade .
docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
```
------
## Automatic Installation - Docker
@ -63,13 +90,12 @@ Start by downloading Docker for your platform:
Once you have Docker installed, simply create the config file (e.g. `config.json`) and then create a Docker image for `freqtrade` using the Dockerfile in this repo.
### 1. Prepare the Bot
#### 1.1. Clone the git repository
```bash
git clone https://github.com/gcarq/freqtrade.git
git clone https://github.com/freqtrade/freqtrade.git
```
#### 1.2. (Optional) Checkout the develop branch
@ -90,21 +116,22 @@ cd freqtrade
cp -n config.json.example config.json
```
> To edit the config please refer to the [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md) page.
> To edit the config please refer to the [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md) page.
#### 1.5. Create your database file *(optional - the bot will create it if it is missing)*
Production
```bash
touch tradesv3.sqlite
````
Dry-Run
```bash
touch tradesv3.dryrun.sqlite
```
### 2. Build the Docker image
```bash
@ -114,7 +141,6 @@ docker build -t freqtrade .
For security reasons, your configuration file will not be included in the image, you will need to bind mount it. It is also advised to bind mount an SQLite database file (see the "5. Run a restartable docker image" section) to keep it between updates.
### 3. Verify the Docker image
After the build process you can verify that the image was created with:
@ -123,7 +149,6 @@ After the build process you can verify that the image was created with:
docker images
```
### 4. Run the Docker image
You can run a one-off container that is immediately deleted upon exiting with the following command (`config.json` must be in the current working directory):
@ -132,8 +157,15 @@ You can run a one-off container that is immediately deleted upon exiting with th
docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
```
In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
There is known issue in OSX Docker versions after 17.09.1, whereby /etc/localtime cannot be shared causing Docker to not start. A work-around for this is to start with the following cmd.
```bash
docker run --rm -e TZ=`ls -la /etc/localtime | cut -d/ -f8-9` -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
```
More information on this docker issue and work-around can be read [here](https://github.com/docker/for-mac/issues/2396)
In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
### 5. Run a restartable docker image
@ -155,10 +187,11 @@ docker run -d \
-v /etc/localtime:/etc/localtime:ro \
-v ~/.freqtrade/config.json:/freqtrade/config.json \
-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
freqtrade
freqtrade --db-url sqlite:///tradesv3.sqlite
```
If you are using `dry_run=True` it's not necessary to mount `tradesv3.sqlite`, but you can mount `tradesv3.dryrun.sqlite` if you plan to use the dry run mode with the param `--dry-run-db`.
NOTE: db-url defaults to `sqlite:///tradesv3.sqlite` but it defaults to `sqlite://` if `dry_run=True` is being used.
To override this behaviour use a custom db-url value: i.e.: `--db-url sqlite:///tradesv3.dryrun.sqlite`
### 6. Monitor your Docker instance
@ -174,6 +207,26 @@ docker start freqtrade
You do not need to rebuild the image for configuration changes, it will suffice to edit `config.json` and restart the container.
### 7. Backtest with docker
The following assumes that the above steps (1-4) have been completed successfully.
Also, backtest-data should be available at `~/.freqtrade/user_data/`.
``` bash
docker run -d \
--name freqtrade \
-v /etc/localtime:/etc/localtime:ro \
-v ~/.freqtrade/config.json:/freqtrade/config.json \
-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
-v ~/.freqtrade/user_data/:/freqtrade/user_data/ \
freqtrade --strategy AwsomelyProfitableStrategy backtesting
```
Head over to the [Backtesting Documentation](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md) for more details.
*Note*: Additional parameters can be appended after the image name (`freqtrade` in the above example).
------
## Custom Installation
@ -183,13 +236,13 @@ We've included/collected install instructions for Ubuntu 16.04, MacOS, and Windo
### Requirements
Click each one for install guide:
* [Python 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/), note the bot was not tested on Python >= 3.7.x
* [pip](https://pip.pypa.io/en/stable/installing/)
* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [virtualenv](https://virtualenv.pypa.io/en/stable/installation/) (Recommended)
* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html)
### Linux - Ubuntu 16.04
#### 1. Install Python 3.6, Git, and wget
@ -215,35 +268,20 @@ cd ..
rm -rf ./ta-lib*
```
#### 3. [Optional] Install MongoDB
Install MongoDB if you plan to optimize your strategy with Hyperopt.
```bash
sudo apt-get install mongodb-org
```
> Complete tutorial from Digital Ocean: [How to Install MongoDB on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04).
#### 4. Install FreqTrade
#### 3. Install FreqTrade
Clone the git repository:
```bash
git clone https://github.com/gcarq/freqtrade.git
git clone https://github.com/freqtrade/freqtrade.git
```
Optionally checkout the develop branch:
```bash
git checkout develop
```
#### 5. Configure `freqtrade` as a `systemd` service
#### 4. Configure `freqtrade` as a `systemd` service
From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup.
After that you can start the daemon with:
```bash
systemctl --user start freqtrade
```
@ -254,7 +292,6 @@ For this to be persistent (run when user is logged out) you'll need to enable `l
sudo loginctl enable-linger "$USER"
```
### MacOS
#### 1. Install Python 3.6, git, wget and ta-lib
@ -263,24 +300,12 @@ sudo loginctl enable-linger "$USER"
brew install python3 git wget ta-lib
```
#### 2. [Optional] Install MongoDB
Install MongoDB if you plan to optimize your strategy with Hyperopt.
```bash
curl -O https://fastdl.mongodb.org/osx/mongodb-osx-ssl-x86_64-3.4.10.tgz
tar -zxvf mongodb-osx-ssl-x86_64-3.4.10.tgz
mkdir -p <path_freqtrade>/env/mongodb
cp -R -n mongodb-osx-x86_64-3.4.10/ <path_freqtrade>/env/mongodb
export PATH=<path_freqtrade>/env/mongodb/bin:$PATH
```
#### 3. Install FreqTrade
#### 2. Install FreqTrade
Clone the git repository:
```bash
git clone https://github.com/gcarq/freqtrade.git
git clone https://github.com/freqtrade/freqtrade.git
```
Optionally checkout the develop branch:
@ -289,7 +314,6 @@ Optionally checkout the develop branch:
git checkout develop
```
### Setup Config and virtual env
#### 1. Initialize the configuration
@ -299,8 +323,7 @@ cd freqtrade
cp config.json.example config.json
```
> *To edit the config please refer to [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md).*
> *To edit the config please refer to [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md).*
#### 2. Setup your Python virtual environment (virtualenv)
@ -324,27 +347,41 @@ python3.6 ./freqtrade/main.py -c config.json
## Windows
We recommend that Windows users use [Docker](#docker) as this will work
much easier and smoother (also more secure).
We recommend that Windows users use [Docker](#docker) as this will work much easier and smoother (also more secure).
### Install freqtrade
If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
If that is not available on your system, feel free to try the instructions below, which led to success for some.
### Install freqtrade manually
#### Clone the git repository
```bash
git clone https://github.com/freqtrade/freqtrade.git
```
copy paste `config.json` to ``\path\freqtrade-develop\freqtrade`
#### install ta-lib
Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of inofficial precompiled windows Wheels [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), which needs to be downloaded and installed using `pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl` (make sure to use the version matching your python version)
```cmd
>cd \path\freqtrade-develop
>python -m venv .env
>cd .env\Scripts
>activate.bat
>cd \path\freqtrade-develop
REM optionally install ta-lib from wheel
REM >pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl
>pip install -r requirements.txt
>pip install -e .
>cd freqtrade
>python main.py
>python freqtrade\main.py
```
> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/gcarq/freqtrade/issues/222)
> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
Now you have an environment ready, the next step is
[Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)...
[Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md)...

10
docs/plotting.md
View File

@ -43,6 +43,16 @@ python scripts/plot_dataframe.py -p BTC_ETH --timerange=100-200
```
Timerange doesn't work with live data.
To plot trades stored in a database use `--db-url` argument:
```
python scripts/plot_dataframe.py --db-url tradesv3.dry_run.sqlite -p BTC_ETH
```
To plot a test strategy the strategy should have first be backtested.
The results may then be plotted with the -s argument:
```
python scripts/plot_dataframe.py -s Strategy_Name -p BTC/ETH --datadir user_data/data/<exchange_name>/
```
## Plot profit

13
docs/sql_cheatsheet.md
View File

@ -32,9 +32,12 @@ CREATE TABLE trades (
exchange VARCHAR NOT NULL,
pair VARCHAR NOT NULL,
is_open BOOLEAN NOT NULL,
fee FLOAT NOT NULL,
fee_open FLOAT NOT NULL,
fee_close FLOAT NOT NULL,
open_rate FLOAT,
open_rate_requested FLOAT,
close_rate FLOAT,
close_rate_requested FLOAT,
close_profit FLOAT,
stake_amount FLOAT NOT NULL,
amount FLOAT,
@ -71,18 +74,18 @@ WHERE id=31;
```sql
INSERT
INTO trades (exchange, pair, is_open, fee, open_rate, stake_amount, amount, open_date)
VALUES ('BITTREX', 'BTC_<COIN>', 1, 0.0025, <open_rate>, <stake_amount>, <amount>, '<datetime>')
INTO trades (exchange, pair, is_open, fee_open, fee_close, open_rate, stake_amount, amount, open_date)
VALUES ('BITTREX', 'BTC_<COIN>', 1, 0.0025, 0.0025, <open_rate>, <stake_amount>, <amount>, '<datetime>')
```
**Example:**
```sql
INSERT INTO trades (exchange, pair, is_open, fee, open_rate, stake_amount, amount, open_date) VALUES ('BITTREX', 'BTC_ETC', 1, 0.0025, 0.00258580, 0.002, 0.7715262081, '2017-11-28 12:44:24.000000')
INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close, open_rate, stake_amount, amount, open_date) VALUES ('BITTREX', 'BTC_ETC', 1, 0.0025, 0.0025, 0.00258580, 0.002, 0.7715262081, '2017-11-28 12:44:24.000000')
```
## Fix wrong fees in the table
If your DB was created before
[PR#200](https://github.com/gcarq/freqtrade/pull/200) was merged
[PR#200](https://github.com/freqtrade/freqtrade/pull/200) was merged
(before 12/23/17).
```sql

31
docs/telegram-usage.md
View File

@ -4,7 +4,7 @@ This page explains how to command your bot with Telegram.
## Pre-requisite
To control your bot with Telegram, you need first to
[set up a Telegram bot](https://github.com/gcarq/freqtrade/blob/develop/docs/pre-requisite.md)
[set up a Telegram bot](https://github.com/freqtrade/freqtrade/blob/develop/docs/pre-requisite.md)
and add your Telegram API keys into your config file.
## Telegram commands
@ -16,6 +16,7 @@ official commands. You can ask at any moment for help with `/help`.
|----------|---------|-------------|
| `/start` | | Starts the trader
| `/stop` | | Stops the trader
| `/reload_conf` | | Reloads the configuration file
| `/status` | | Lists all open trades
| `/status table` | | List all open trades in a table format
| `/count` | | Displays number of trades used and available
@ -42,7 +43,7 @@ Below, example of Telegram message you will receive for each command.
For each open trade, the bot will send you the following message.
> **Trade ID:** `123`
> **Current Pair:** BTC_CVC
> **Current Pair:** CVC/BTC
> **Open Since:** `1 days ago`
> **Amount:** `26.64180098`
> **Open Rate:** `0.00007489`
@ -57,8 +58,8 @@ Return the status of all open trades in a table format.
```
ID Pair Since Profit
---- -------- ------- --------
67 BTC_SC 1 d 13.33%
123 BTC_CVC 1 h 12.95%
67 SC/BTC 1 d 13.33%
123 CVC/BTC 1 h 12.95%
```
## /count
@ -83,7 +84,7 @@ Return a summary of your profit/loss and performance.
> **First Trade opened:** `3 days ago`
> **Latest Trade opened:** `2 minutes ago`
> **Avg. Duration:** `2:33:45`
> **Best Performing:** `BTC_PAY: 50.23%`
> **Best Performing:** `PAY/BTC: 50.23%`
## /forcesell <trade_id>
@ -92,11 +93,11 @@ Return a summary of your profit/loss and performance.
## /performance
Return the performance of each crypto-currency the bot has sold.
> Performance:
> 1. `BTC_RCN 57.77%`
> 2. `BTC_PAY 56.91%`
> 3. `BTC_VIB 47.07%`
> 4. `BTC_SALT 30.24%`
> 5. `BTC_STORJ 27.24%`
> 1. `RCN/BTC 57.77%`
> 2. `PAY/BTC 56.91%`
> 3. `VIB/BTC 47.07%`
> 4. `SALT/BTC 30.24%`
> 5. `STORJ/BTC 27.24%`
> ...
## /balance
@ -129,12 +130,8 @@ Day Profit BTC Profit USD
> **Version:** `0.14.3`
### using proxy with telegram
in [freqtrade/freqtrade/rpc/telegram.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/rpc/telegram.py) replace
```
self._updater = Updater(token=self._config['telegram']['token'], workers=0)
```
with
```
self._updater = Updater(token=self._config['telegram']['token'], request_kwargs={'proxy_url': 'socks5://127.0.0.1:1080/'}, workers=0)
$ export HTTP_PROXY="http://addr:port"
$ export HTTPS_PROXY="http://addr:port"
$ freqtrade
```

13
freqtrade/__init__.py
View File

@ -1,5 +1,5 @@
""" FreqTrade bot """
__version__ = '0.16.1'
__version__ = '0.17.0'
class DependencyException(BaseException):
@ -12,5 +12,14 @@ class DependencyException(BaseException):
class OperationalException(BaseException):
"""
Requires manual intervention.
This happens when an exchange returns an unexpected error during runtime.
This happens when an exchange returns an unexpected error during runtime
or given configuration is invalid.
"""
class TemporaryError(BaseException):
"""
Temporary network or exchange related error.
This could happen when an exchange is congested, unavailable, or the user
has networking problems. Usually resolves itself after a time.
"""

15
freqtrade/__main__.py Normal file
View File

@ -0,0 +1,15 @@
#!/usr/bin/env python3
"""
__main__.py for Freqtrade
To launch Freqtrade as a module
> python -m freqtrade (with Python >= 3.6)
"""
import sys
from freqtrade import main
if __name__ == '__main__':
main.set_loggers()
main.main(sys.argv[1:])

73
freqtrade/analyze.py
View File

@ -9,9 +9,10 @@ from typing import Dict, List, Tuple
import arrow
from pandas import DataFrame, to_datetime
from freqtrade.exchange import get_ticker_history
from freqtrade import constants
from freqtrade.exchange import Exchange
from freqtrade.persistence import Trade
from freqtrade.strategy.resolver import StrategyResolver
from freqtrade.strategy.resolver import StrategyResolver, IStrategy
logger = logging.getLogger(__name__)
@ -36,7 +37,7 @@ class Analyze(object):
:param config: Bot configuration (use the one from Configuration())
"""
self.config = config
self.strategy = StrategyResolver(self.config).strategy
self.strategy: IStrategy = StrategyResolver(self.config).strategy
@staticmethod
def parse_ticker_dataframe(ticker: list) -> DataFrame:
@ -45,21 +46,23 @@ class Analyze(object):
:param ticker: See exchange.get_ticker_history
:return: DataFrame
"""
columns = {'C': 'close', 'V': 'volume', 'O': 'open', 'H': 'high', 'L': 'low', 'T': 'date'}
frame = DataFrame(ticker).rename(columns=columns)
if 'BV' in frame:
frame.drop('BV', axis=1, inplace=True)
cols = ['date', 'open', 'high', 'low', 'close', 'volume']
frame = DataFrame(ticker, columns=cols)
frame['date'] = to_datetime(frame['date'], utc=True, infer_datetime_format=True)
frame['date'] = to_datetime(frame['date'],
unit='ms',
utc=True,
infer_datetime_format=True)
# group by index and aggregate results to eliminate duplicate ticks
frame = frame.groupby(by='date', as_index=False, sort=True).agg({
'close': 'last',
'open': 'first',
'high': 'max',
'low': 'min',
'open': 'first',
'close': 'last',
'volume': 'max',
})
frame.drop(frame.tail(1).index, inplace=True) # eliminate partial candle
return frame
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
@ -88,13 +91,20 @@ class Analyze(object):
"""
return self.strategy.populate_sell_trend(dataframe=dataframe)
def get_ticker_interval(self) -> int:
def get_ticker_interval(self) -> str:
"""
Return ticker interval to use
:return: Ticker interval value to use
"""
return self.strategy.ticker_interval
def get_stoploss(self) -> float:
"""
Return stoploss to use
:return: Strategy stoploss value to use
"""
return self.strategy.stoploss
def analyze_ticker(self, ticker_history: List[Dict]) -> DataFrame:
"""
Parses the given ticker history and returns a populated DataFrame
@ -107,14 +117,14 @@ class Analyze(object):
dataframe = self.populate_sell_trend(dataframe)
return dataframe
def get_signal(self, pair: str, interval: int) -> Tuple[bool, bool]:
def get_signal(self, exchange: Exchange, pair: str, interval: str) -> Tuple[bool, bool]:
"""
Calculates current signal based several technical analysis indicators
:param pair: pair in format BTC_ANT or BTC-ANT
:param pair: pair in format ANT/BTC
:param interval: Interval to use (in min)
:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
"""
ticker_hist = get_ticker_history(pair, interval)
ticker_hist = exchange.get_ticker_history(pair, interval)
if not ticker_hist:
logger.warning('Empty ticker history for pair %s', pair)
return False, False
@ -144,7 +154,8 @@ class Analyze(object):
# Check if dataframe is out of date
signal_date = arrow.get(latest['date'])
if signal_date < arrow.utcnow() - timedelta(minutes=(interval + 5)):
interval_minutes = constants.TICKER_INTERVAL_MINUTES[interval]
if signal_date < (arrow.utcnow() - timedelta(minutes=(interval_minutes + 5))):
logger.warning(
'Outdated history for pair %s. Last tick is %s minutes old',
pair,
@ -168,33 +179,45 @@ class Analyze(object):
if the threshold is reached and updates the trade record.
:return: True if trade should be sold, False otherwise
"""
current_profit = trade.calc_profit_percent(rate)
if self.stop_loss_reached(current_profit=current_profit):
return True
experimental = self.config.get('experimental', {})
if buy and experimental.get('ignore_roi_if_buy_signal', False):
logger.debug('Buy signal still active - not selling.')
return False
# Check if minimal roi has been reached and no longer in buy conditions (avoiding a fee)
if self.min_roi_reached(trade=trade, current_rate=rate, current_time=date):
if self.min_roi_reached(trade=trade, current_profit=current_profit, current_time=date):
logger.debug('Required profit reached. Selling..')
return True
# Experimental: Check if the trade is profitable before selling it (avoid selling at loss)
if self.config.get('experimental', {}).get('sell_profit_only', False):
if experimental.get('sell_profit_only', False):
logger.debug('Checking if trade is profitable..')
if trade.calc_profit(rate=rate) <= 0:
return False
if sell and not buy and self.config.get('experimental', {}).get('use_sell_signal', False):
if sell and not buy and experimental.get('use_sell_signal', False):
logger.debug('Sell signal received. Selling..')
return True
return False
def min_roi_reached(self, trade: Trade, current_rate: float, current_time: datetime) -> bool:
def stop_loss_reached(self, current_profit: float) -> bool:
"""Based on current profit of the trade and configured stoploss, decides to sell or not"""
if self.strategy.stoploss is not None and current_profit < self.strategy.stoploss:
logger.debug('Stop loss hit.')
return True
return False
def min_roi_reached(self, trade: Trade, current_profit: float, current_time: datetime) -> bool:
"""
Based an earlier trade and current price and ROI configuration, decides whether bot should
sell
:return True if bot should sell at current rate
"""
current_profit = trade.calc_profit_percent(current_rate)
if self.strategy.stoploss is not None and current_profit < self.strategy.stoploss:
logger.debug('Stop loss hit.')
return True
# Check if time matches and current rate is above threshold
time_diff = (current_time.timestamp() - trade.open_date.timestamp()) / 60

153
freqtrade/arguments.py
View File

@ -2,23 +2,36 @@
This module contains the argument manager class
"""
import os
import argparse
import logging
import os
import re
from typing import List, Tuple, Optional
import arrow
from typing import List, Optional, NamedTuple
from freqtrade import __version__, constants
class TimeRange(NamedTuple):
"""
NamedTuple Defining timerange inputs.
[start/stop]type defines if [start/stop]ts shall be used.
if *type is none, don't use corresponding startvalue.
"""
starttype: Optional[str] = None
stoptype: Optional[str] = None
startts: int = 0
stopts: int = 0
class Arguments(object):
"""
Arguments Class. Manage the arguments received by the cli
"""
def __init__(self, args: List[str], description: str):
def __init__(self, args: List[str], description: str) -> None:
self.args = args
self.parsed_arg = None
self.parsed_arg: Optional[argparse.Namespace] = None
self.parser = argparse.ArgumentParser(description=description)
def _load_args(self) -> None:
@ -59,7 +72,7 @@ class Arguments(object):
self.parser.add_argument(
'--version',
action='version',
version='%(prog)s {}'.format(__version__),
version=f'%(prog)s {__version__}'
)
self.parser.add_argument(
'-c', '--config',
@ -71,9 +84,9 @@ class Arguments(object):
)
self.parser.add_argument(
'-d', '--datadir',
help='path to backtest data (default: %(default)s',
help='path to backtest data',
dest='datadir',
default=os.path.join('freqtrade', 'tests', 'testdata'),
default=None,
type=str,
metavar='PATH',
)
@ -94,8 +107,8 @@ class Arguments(object):
)
self.parser.add_argument(
'--dynamic-whitelist',
help='dynamically generate and update whitelist \
based on 24h BaseVolume (Default 20 currencies)', # noqa
help='dynamically generate and update whitelist'
' based on 24h BaseVolume (default: %(const)s)',
dest='dynamic_whitelist',
const=constants.DYNAMIC_WHITELIST,
type=int,
@ -103,11 +116,13 @@ class Arguments(object):
nargs='?',
)
self.parser.add_argument(
'--dry-run-db',
help='Force dry run to use a local DB "tradesv3.dry_run.sqlite" \
instead of memory DB. Work only if dry_run is enabled.',
action='store_true',
dest='dry_run_db',
'--db-url',
help='Override trades database URL, this is useful if dry_run is enabled'
' or in custom deployments (default: %(default)s)',
dest='db_url',
default=constants.DEFAULT_DB_PROD_URL,
type=str,
metavar='PATH',
)
@staticmethod
@ -123,8 +138,8 @@ class Arguments(object):
)
parser.add_argument(
'-r', '--refresh-pairs-cached',
help='refresh the pairs files in tests/testdata with the latest data from Bittrex. \
Use it if you want to run your backtesting with up-to-date data.',
help='refresh the pairs files in tests/testdata with the latest data from the '
'exchange. Use it if you want to run your backtesting with up-to-date data.',
action='store_true',
dest='refresh_pairs',
)
@ -136,15 +151,30 @@ class Arguments(object):
default=None,
dest='export',
)
parser.add_argument(
'--export-filename',
help='Save backtest results to this filename \
requires --export to be set as well\
Example --export-filename=user_data/backtest_data/backtest_today.json\
(default: %(default)s)',
type=str,
default=os.path.join('user_data', 'backtest_data', 'backtest-result.json'),
dest='exportfilename',
metavar='PATH',
)
@staticmethod
def optimizer_shared_options(parser: argparse.ArgumentParser) -> None:
"""
Parses given common arguments for Backtesting and Hyperopt scripts.
:param parser:
:return:
"""
parser.add_argument(
'-i', '--ticker-interval',
help='specify ticker interval in minutes (1, 5, 30, 60, 1440)',
help='specify ticker interval (1m, 5m, 30m, 1h, 1d)',
dest='ticker_interval',
type=int,
metavar='INT',
type=str,
)
parser.add_argument(
'--realistic-simulation',
@ -173,12 +203,6 @@ class Arguments(object):
type=int,
metavar='INT',
)
parser.add_argument(
'--use-mongodb',
help='parallelize evaluations with mongodb (requires mongod in PATH)',
dest='mongodb',
action='store_true',
)
parser.add_argument(
'-s', '--spaces',
help='Specify which parameters to hyperopt. Space separate list. \
@ -211,17 +235,20 @@ class Arguments(object):
self.hyperopt_options(hyperopt_cmd)
@staticmethod
def parse_timerange(text: str) -> Optional[Tuple[List, int, int]]:
def parse_timerange(text: Optional[str]) -> TimeRange:
"""
Parse the value of the argument --timerange to determine what is the range desired
:param text: value from --timerange
:return: Start and End range period
"""
if text is None:
return None
return TimeRange(None, None, 0, 0)
syntax = [(r'^-(\d{8})$', (None, 'date')),
(r'^(\d{8})-$', ('date', None)),
(r'^(\d{8})-(\d{8})$', ('date', 'date')),
(r'^-(\d{10})$', (None, 'date')),
(r'^(\d{10})-$', ('date', None)),
(r'^(\d{10})-(\d{10})$', ('date', 'date')),
(r'^(-\d+)$', (None, 'line')),
(r'^(\d+)-$', ('line', None)),
(r'^(\d+)-(\d+)$', ('index', 'index'))]
@ -231,23 +258,27 @@ class Arguments(object):
if match: # Regex has matched
rvals = match.groups()
index = 0
start = None
stop = None
start: int = 0
stop: int = 0
if stype[0]:
start = rvals[index]
if stype[0] != 'date':
start = int(start)
starts = rvals[index]
if stype[0] == 'date' and len(starts) == 8:
start = arrow.get(starts, 'YYYYMMDD').timestamp
else:
start = int(starts)
index += 1
if stype[1]:
stop = rvals[index]
if stype[1] != 'date':
stop = int(stop)
return stype, start, stop
stops = rvals[index]
if stype[1] == 'date' and len(stops) == 8:
stop = arrow.get(stops, 'YYYYMMDD').timestamp
else:
stop = int(stops)
return TimeRange(stype[0], stype[1], start, stop)
raise Exception('Incorrect syntax for timerange "%s"' % text)
def scripts_options(self) -> None:
"""
Parses given arguments for plot scripts.
Parses given arguments for scripts.
"""
self.parser.add_argument(
'-p', '--pair',
@ -255,3 +286,51 @@ class Arguments(object):
dest='pair',
default=None
)
def testdata_dl_options(self) -> None:
"""
Parses given arguments for testdata download
"""
self.parser.add_argument(
'--pairs-file',
help='File containing a list of pairs to download',
dest='pairs_file',
default=None,
metavar='PATH',
)
self.parser.add_argument(
'--export',
help='Export files to given dir',
dest='export',
default=None,
metavar='PATH',
)
self.parser.add_argument(
'--days',
help='Download data for number of days',
dest='days',
type=int,
metavar='INT',
default=None
)
self.parser.add_argument(
'--exchange',
help='Exchange name (default: %(default)s)',
dest='exchange',
type=str,
default='bittrex'
)
self.parser.add_argument(
'-t', '--timeframes',
help='Specify which tickers to download. Space separated list. \
Default: %(default)s',
choices=['1m', '3m', '5m', '15m', '30m', '1h', '2h', '4h',
'6h', '8h', '12h', '1d', '3d', '1w'],
default=['1m', '5m'],
nargs='+',
dest='timeframes',
)

89
freqtrade/configuration.py
View File

@ -1,16 +1,16 @@
"""
This module contains the configuration class
"""
import os
import json
import logging
from argparse import Namespace
from typing import Dict, Any
from typing import Optional, Dict, Any
from jsonschema import Draft4Validator, validate
from jsonschema.exceptions import ValidationError, best_match
import ccxt
from freqtrade import constants
from freqtrade import OperationalException, constants
logger = logging.getLogger(__name__)
@ -23,7 +23,7 @@ class Configuration(object):
"""
def __init__(self, args: Namespace) -> None:
self.args = args
self.config = None
self.config: Optional[Dict[str, Any]] = None
def load_config(self) -> Dict[str, Any]:
"""
@ -61,11 +61,9 @@ class Configuration(object):
with open(path) as file:
conf = json.load(file)
except FileNotFoundError:
logger.critical(
'Config file "%s" not found. Please create your config file',
path
)
exit(0)
raise OperationalException(
'Config file "{}" not found!'
' Please create a config file or check whether it exists.'.format(path))
if 'internals' not in conf:
conf['internals'] = {}
@ -97,19 +95,35 @@ class Configuration(object):
'(not applicable with Backtesting and Hyperopt)'
)
# Add dry_run_db if found and the bot in dry run
if self.args.dry_run_db and config.get('dry_run', False):
config.update({'dry_run_db': True})
logger.info('Parameter --dry-run-db detected ...')
if self.args.db_url != constants.DEFAULT_DB_PROD_URL:
config.update({'db_url': self.args.db_url})
logger.info('Parameter --db-url detected ...')
if config.get('dry_run_db', False):
if config.get('dry_run', False):
logger.info('Dry_run will use the DB file: "tradesv3.dry_run.sqlite"')
else:
logger.info('Dry run is disabled. (--dry_run_db ignored)')
if config.get('dry_run', False):
logger.info('Dry run is enabled')
if config.get('db_url') in [None, constants.DEFAULT_DB_PROD_URL]:
# Default to in-memory db for dry_run if not specified
config['db_url'] = constants.DEFAULT_DB_DRYRUN_URL
else:
if not config.get('db_url', None):
config['db_url'] = constants.DEFAULT_DB_PROD_URL
logger.info('Dry run is disabled')
logger.info('Using DB: "{}"'.format(config['db_url']))
# Check if the exchange set by the user is supported
self.check_exchange(config)
return config
def _create_default_datadir(self, config: Dict[str, Any]) -> str:
exchange_name = config.get('exchange', {}).get('name').lower()
default_path = os.path.join('user_data', 'data', exchange_name)
if not os.path.isdir(default_path):
os.makedirs(default_path)
logger.info(f'Created data directory: {default_path}')
return default_path
def _load_backtesting_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
"""
Extract information for sys.argv and load Backtesting configuration
@ -121,7 +135,7 @@ class Configuration(object):
if 'ticker_interval' in self.args and self.args.ticker_interval:
config.update({'ticker_interval': self.args.ticker_interval})
logger.info('Parameter -i/--ticker-interval detected ...')
logger.info('Using ticker_interval: %d ...', config.get('ticker_interval'))
logger.info('Using ticker_interval: %s ...', config.get('ticker_interval'))
# If -l/--live is used we add it to the configuration
if 'live' in self.args and self.args.live:
@ -142,7 +156,9 @@ class Configuration(object):
# If --datadir is used we add it to the configuration
if 'datadir' in self.args and self.args.datadir:
config.update({'datadir': self.args.datadir})
logger.info('Parameter --datadir detected: %s ...', self.args.datadir)
else:
config.update({'datadir': self._create_default_datadir(config)})
logger.info('Using data folder: %s ...', config.get('datadir'))
# If -r/--refresh-pairs-cached is used we add it to the configuration
if 'refresh_pairs' in self.args and self.args.refresh_pairs:
@ -154,6 +170,11 @@ class Configuration(object):
config.update({'export': self.args.export})
logger.info('Parameter --export detected: %s ...', self.args.export)
# If --export-filename is used we add it to the configuration
if 'export' in config and 'exportfilename' in self.args and self.args.exportfilename:
config.update({'exportfilename': self.args.exportfilename})
logger.info('Storing backtest results to %s ...', self.args.exportfilename)
return config
def _load_hyperopt_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
@ -167,11 +188,6 @@ class Configuration(object):
logger.info('Parameter --epochs detected ...')
logger.info('Will run Hyperopt with for %s epochs ...', config.get('epochs'))
# If --mongodb is used we add it to the configuration
if 'mongodb' in self.args and self.args.mongodb:
config.update({'mongodb': self.args.mongodb})
logger.info('Parameter --use-mongodb detected ...')
# If --spaces is used we add it to the configuration
if 'spaces' in self.args and self.args.spaces:
config.update({'spaces': self.args.spaces})
@ -189,7 +205,7 @@ class Configuration(object):
validate(conf, constants.CONF_SCHEMA)
return conf
except ValidationError as exception:
logger.fatal(
logger.critical(
'Invalid configuration. See config.json.example. Reason: %s',
exception
)
@ -206,3 +222,22 @@ class Configuration(object):
self.config = self.load_config()
return self.config
def check_exchange(self, config: Dict[str, Any]) -> bool:
"""
Check if the exchange name in the config file is supported by Freqtrade
:return: True or raised an exception if the exchange if not supported
"""
exchange = config.get('exchange', {}).get('name').lower()
if exchange not in ccxt.exchanges:
exception_msg = f'Exchange "{exchange}" not supported.\n' \
f'The following exchanges are supported: {", ".join(ccxt.exchanges)}'
logger.critical(exception_msg)
raise OperationalException(
exception_msg
)
logger.debug('Exchange "%s" supported', exchange)
return True

58
freqtrade/constants.py
View File

@ -9,23 +9,49 @@ TICKER_INTERVAL = 5 # min
HYPEROPT_EPOCH = 100 # epochs
RETRY_TIMEOUT = 30 # sec
DEFAULT_STRATEGY = 'DefaultStrategy'
DEFAULT_DB_PROD_URL = 'sqlite:///tradesv3.sqlite'
DEFAULT_DB_DRYRUN_URL = 'sqlite://'
UNLIMITED_STAKE_AMOUNT = 'unlimited'
TICKER_INTERVAL_MINUTES = {
'1m': 1,
'3m': 3,
'5m': 5,
'15m': 15,
'30m': 30,
'1h': 60,
'2h': 120,
'4h': 240,
'6h': 360,
'8h': 480,
'12h': 720,
'1d': 1440,
'3d': 4320,
'1w': 10080,
}
SUPPORTED_FIAT = [
"AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK",
"EUR", "GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY",
"KRW", "MXN", "MYR", "NOK", "NZD", "PHP", "PKR", "PLN",
"RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD",
"BTC", "ETH", "XRP", "LTC", "BCH", "USDT"
]
# Required json-schema for user specified config
CONF_SCHEMA = {
'type': 'object',
'properties': {
'max_open_trades': {'type': 'integer', 'minimum': 1},
'ticker_interval': {'type': 'integer', 'enum': [1, 5, 30, 60, 1440]},
'stake_currency': {'type': 'string', 'enum': ['BTC', 'ETH', 'USDT']},
'stake_amount': {'type': 'number', 'minimum': 0.0005},
'fiat_display_currency': {'type': 'string', 'enum': ['AUD', 'BRL', 'CAD', 'CHF',
'CLP', 'CNY', 'CZK', 'DKK',
'EUR', 'GBP', 'HKD', 'HUF',
'IDR', 'ILS', 'INR', 'JPY',
'KRW', 'MXN', 'MYR', 'NOK',
'NZD', 'PHP', 'PKR', 'PLN',
'RUB', 'SEK', 'SGD', 'THB',
'TRY', 'TWD', 'ZAR', 'USD']},
'max_open_trades': {'type': 'integer', 'minimum': 0},
'ticker_interval': {'type': 'string', 'enum': list(TICKER_INTERVAL_MINUTES.keys())},
'stake_currency': {'type': 'string', 'enum': ['BTC', 'ETH', 'USDT', 'EUR', 'USD']},
'stake_amount': {
"type": ["number", "string"],
"minimum": 0.0005,
"pattern": UNLIMITED_STAKE_AMOUNT
},
'fiat_display_currency': {'type': 'string', 'enum': SUPPORTED_FIAT},
'dry_run': {'type': 'boolean'},
'minimal_roi': {
'type': 'object',
@ -53,7 +79,8 @@ CONF_SCHEMA = {
'type': 'object',
'properties': {
'use_sell_signal': {'type': 'boolean'},
'sell_profit_only': {'type': 'boolean'}
'sell_profit_only': {'type': 'boolean'},
"ignore_roi_if_buy_signal_true": {'type': 'boolean'}
}
},
'telegram': {
@ -65,6 +92,7 @@ CONF_SCHEMA = {
},
'required': ['enabled', 'token', 'chat_id']
},
'db_url': {'type': 'string'},
'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
'internals': {
'type': 'object',
@ -85,7 +113,7 @@ CONF_SCHEMA = {
'type': 'array',
'items': {
'type': 'string',
'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
'pattern': '^[0-9A-Z]+/[0-9A-Z]+$'
},
'uniqueItems': True
},
@ -93,7 +121,7 @@ CONF_SCHEMA = {
'type': 'array',
'items': {
'type': 'string',
'pattern': '^[0-9A-Z]+_[0-9A-Z]+$'
'pattern': '^[0-9A-Z]+/[0-9A-Z]+$'
},
'uniqueItems': True
}

538
freqtrade/exchange/__init__.py
View File

@ -1,185 +1,417 @@
# pragma pylint: disable=W0603
""" Cryptocurrency Exchanges support """
import enum
import logging
from random import randint
from typing import List, Dict, Any, Optional
from datetime import datetime
import ccxt
import arrow
import requests
from cachetools import cached, TTLCache
from freqtrade import OperationalException
from freqtrade.exchange.bittrex import Bittrex
from freqtrade.exchange.interface import Exchange
from freqtrade import constants, OperationalException, DependencyException, TemporaryError
logger = logging.getLogger(__name__)
# Current selected exchange
_API: Exchange = None
_CONF: dict = {}
# Holds all open sell orders for dry_run
_DRY_RUN_OPEN_ORDERS: Dict[str, Any] = {}
API_RETRY_COUNT = 4
class Exchanges(enum.Enum):
"""
Maps supported exchange names to correspondent classes.
"""
BITTREX = Bittrex
# Urls to exchange markets, insert quote and base with .format()
_EXCHANGE_URLS = {
ccxt.bittrex.__name__: '/Market/Index?MarketName={quote}-{base}',
ccxt.binance.__name__: '/tradeDetail.html?symbol={base}_{quote}'
}
def init(config: dict) -> None:
"""
Initializes this module with the given config,
it does basic validation whether the specified
exchange and pairs are valid.
:param config: config to use
:return: None
"""
global _CONF, _API
_CONF.update(config)
if config['dry_run']:
logger.info('Instance is running with dry_run enabled')
exchange_config = config['exchange']
# Find matching class for the given exchange name
name = exchange_config['name']
try:
exchange_class = Exchanges[name.upper()].value
except KeyError:
raise OperationalException('Exchange {} is not supported'.format(name))
_API = exchange_class(exchange_config)
# Check if all pairs are available
validate_pairs(config['exchange']['pair_whitelist'])
def retrier(f):
def wrapper(*args, **kwargs):
count = kwargs.pop('count', API_RETRY_COUNT)
try:
return f(*args, **kwargs)
except (TemporaryError, DependencyException) as ex:
logger.warning('%s() returned exception: "%s"', f.__name__, ex)
if count > 0:
count -= 1
kwargs.update({'count': count})
logger.warning('retrying %s() still for %s times', f.__name__, count)
return wrapper(*args, **kwargs)
else:
logger.warning('Giving up retrying: %s()', f.__name__)
raise ex
return wrapper
def validate_pairs(pairs: List[str]) -> None:
"""
Checks if all given pairs are tradable on the current exchange.
Raises OperationalException if one pair is not available.
:param pairs: list of pairs
:return: None
"""
try:
markets = _API.get_markets()
except requests.exceptions.RequestException as e:
logger.warning('Unable to validate pairs (assuming they are correct). Reason: %s', e)
return
class Exchange(object):
stake_cur = _CONF['stake_currency']
for pair in pairs:
if not pair.startswith(stake_cur):
# Current selected exchange
_api: ccxt.Exchange = None
_conf: Dict = {}
_cached_ticker: Dict[str, Any] = {}
# Holds all open sell orders for dry_run
_dry_run_open_orders: Dict[str, Any] = {}
def __init__(self, config: dict) -> None:
"""
Initializes this module with the given config,
it does basic validation whether the specified
exchange and pairs are valid.
:return: None
"""
self._conf.update(config)
if config['dry_run']:
logger.info('Instance is running with dry_run enabled')
exchange_config = config['exchange']
self._api = self._init_ccxt(exchange_config)
logger.info('Using Exchange "%s"', self.name)
# Check if all pairs are available
self.validate_pairs(config['exchange']['pair_whitelist'])
def _init_ccxt(self, exchange_config: dict) -> ccxt.Exchange:
"""
Initialize ccxt with given config and return valid
ccxt instance.
"""
# Find matching class for the given exchange name
name = exchange_config['name']
if name not in ccxt.exchanges:
raise OperationalException(f'Exchange {name} is not supported')
try:
api = getattr(ccxt, name.lower())({
'apiKey': exchange_config.get('key'),
'secret': exchange_config.get('secret'),
'password': exchange_config.get('password'),
'uid': exchange_config.get('uid', ''),
'enableRateLimit': True,
})
except (KeyError, AttributeError):
raise OperationalException(f'Exchange {name} is not supported')
return api
@property
def name(self) -> str:
"""exchange Name (from ccxt)"""
return self._api.name
@property
def id(self) -> str:
"""exchange ccxt id"""
return self._api.id
def validate_pairs(self, pairs: List[str]) -> None:
"""
Checks if all given pairs are tradable on the current exchange.
Raises OperationalException if one pair is not available.
:param pairs: list of pairs
:return: None
"""
try:
markets = self._api.load_markets()
except ccxt.BaseError as e:
logger.warning('Unable to validate pairs (assuming they are correct). Reason: %s', e)
return
stake_cur = self._conf['stake_currency']
for pair in pairs:
# Note: ccxt has BaseCurrency/QuoteCurrency format for pairs
# TODO: add a support for having coins in BTC/USDT format
if not pair.endswith(stake_cur):
raise OperationalException(
f'Pair {pair} not compatible with stake_currency: {stake_cur}')
if pair not in markets:
raise OperationalException(
f'Pair {pair} is not available at {self.name}')
def exchange_has(self, endpoint: str) -> bool:
"""
Checks if exchange implements a specific API endpoint.
Wrapper around ccxt 'has' attribute
:param endpoint: Name of endpoint (e.g. 'fetchOHLCV', 'fetchTickers')
:return: bool
"""
return endpoint in self._api.has and self._api.has[endpoint]
def buy(self, pair: str, rate: float, amount: float) -> Dict:
if self._conf['dry_run']:
order_id = f'dry_run_buy_{randint(0, 10**6)}'
self._dry_run_open_orders[order_id] = {
'pair': pair,
'price': rate,
'amount': amount,
'type': 'limit',
'side': 'buy',
'remaining': 0.0,
'datetime': arrow.utcnow().isoformat(),
'status': 'closed',
'fee': None
}
return {'id': order_id}
try:
return self._api.create_limit_buy_order(pair, amount, rate)
except ccxt.InsufficientFunds as e:
raise DependencyException(
f'Insufficient funds to create limit buy order on market {pair}.'
f'Tried to buy amount {amount} at rate {rate} (total {rate*amount}).'
f'Message: {e}')
except ccxt.InvalidOrder as e:
raise DependencyException(
f'Could not create limit buy order on market {pair}.'
f'Tried to buy amount {amount} at rate {rate} (total {rate*amount}).'
f'Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not place buy order due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
def sell(self, pair: str, rate: float, amount: float) -> Dict:
if self._conf['dry_run']:
order_id = f'dry_run_sell_{randint(0, 10**6)}'
self._dry_run_open_orders[order_id] = {
'pair': pair,
'price': rate,
'amount': amount,
'type': 'limit',
'side': 'sell',
'remaining': 0.0,
'datetime': arrow.utcnow().isoformat(),
'status': 'closed'
}
return {'id': order_id}
try:
return self._api.create_limit_sell_order(pair, amount, rate)
except ccxt.InsufficientFunds as e:
raise DependencyException(
f'Insufficient funds to create limit sell order on market {pair}.'
f'Tried to sell amount {amount} at rate {rate} (total {rate*amount}).'
f'Message: {e}')
except ccxt.InvalidOrder as e:
raise DependencyException(
f'Could not create limit sell order on market {pair}.'
f'Tried to sell amount {amount} at rate {rate} (total {rate*amount}).'
f'Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not place sell order due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
@retrier
def get_balance(self, currency: str) -> float:
if self._conf['dry_run']:
return 999.9
# ccxt exception is already handled by get_balances
balances = self.get_balances()
balance = balances.get(currency)
if balance is None:
raise TemporaryError(
f'Could not get {currency} balance due to malformed exchange response: {balances}')
return balance['free']
@retrier
def get_balances(self) -> dict:
if self._conf['dry_run']:
return {}
try:
balances = self._api.fetch_balance()
# Remove additional info from ccxt results
balances.pop("info", None)
balances.pop("free", None)
balances.pop("total", None)
balances.pop("used", None)
return balances
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get balance due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
@retrier
def get_tickers(self) -> Dict:
try:
return self._api.fetch_tickers()
except ccxt.NotSupported as e:
raise OperationalException(
'Pair {} not compatible with stake_currency: {}'.format(pair, stake_cur)
)
if pair not in markets:
f'Exchange {self._api.name} does not support fetching tickers in batch.'
f'Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load tickers due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
@retrier
def get_ticker(self, pair: str, refresh: Optional[bool] = True) -> dict:
if refresh or pair not in self._cached_ticker.keys():
try:
data = self._api.fetch_ticker(pair)
try:
self._cached_ticker[pair] = {
'bid': float(data['bid']),
'ask': float(data['ask']),
}
except KeyError:
logger.debug("Could not cache ticker data for %s", pair)
return data
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load ticker history due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
else:
logger.info("returning cached ticker-data for %s", pair)
return self._cached_ticker[pair]
@retrier
def get_ticker_history(self, pair: str, tick_interval: str,
since_ms: Optional[int] = None) -> List[Dict]:
try:
# last item should be in the time interval [now - tick_interval, now]
till_time_ms = arrow.utcnow().shift(
minutes=-constants.TICKER_INTERVAL_MINUTES[tick_interval]
).timestamp * 1000
# it looks as if some exchanges return cached data
# and they update it one in several minute, so 10 mins interval
# is necessary to skeep downloading of an empty array when all
# chached data was already downloaded
till_time_ms = min(till_time_ms, arrow.utcnow().shift(minutes=-10).timestamp * 1000)
data: List[Dict[Any, Any]] = []
while not since_ms or since_ms < till_time_ms:
data_part = self._api.fetch_ohlcv(pair, timeframe=tick_interval, since=since_ms)
# Because some exchange sort Tickers ASC and other DESC.
# Ex: Bittrex returns a list of tickers ASC (oldest first, newest last)
# when GDAX returns a list of tickers DESC (newest first, oldest last)
data_part = sorted(data_part, key=lambda x: x[0])
if not data_part:
break
logger.debug('Downloaded data for %s time range [%s, %s]',
pair,
arrow.get(data_part[0][0] / 1000).format(),
arrow.get(data_part[-1][0] / 1000).format())
data.extend(data_part)
since_ms = data[-1][0] + 1
return data
except ccxt.NotSupported as e:
raise OperationalException(
'Pair {} is not available at {}'.format(pair, _API.name.lower()))
f'Exchange {self._api.name} does not support fetching historical candlestick data.'
f'Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load ticker history due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(f'Could not fetch ticker data. Msg: {e}')
@retrier
def cancel_order(self, order_id: str, pair: str) -> None:
if self._conf['dry_run']:
return
def buy(pair: str, rate: float, amount: float) -> str:
if _CONF['dry_run']:
global _DRY_RUN_OPEN_ORDERS
order_id = 'dry_run_buy_{}'.format(randint(0, 10**6))
_DRY_RUN_OPEN_ORDERS[order_id] = {
'pair': pair,
'rate': rate,
'amount': amount,
'type': 'LIMIT_BUY',
'remaining': 0.0,
'opened': arrow.utcnow().datetime,
'closed': arrow.utcnow().datetime,
}
return order_id
try:
return self._api.cancel_order(order_id, pair)
except ccxt.InvalidOrder as e:
raise DependencyException(
f'Could not cancel order. Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not cancel order due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
return _API.buy(pair, rate, amount)
@retrier
def get_order(self, order_id: str, pair: str) -> Dict:
if self._conf['dry_run']:
order = self._dry_run_open_orders[order_id]
order.update({
'id': order_id
})
return order
try:
return self._api.fetch_order(order_id, pair)
except ccxt.InvalidOrder as e:
raise DependencyException(
f'Could not get order. Message: {e}')
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get order due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
@retrier
def get_trades_for_order(self, order_id: str, pair: str, since: datetime) -> List:
if self._conf['dry_run']:
return []
if not self.exchange_has('fetchMyTrades'):
return []
try:
my_trades = self._api.fetch_my_trades(pair, since.timestamp())
matched_trades = [trade for trade in my_trades if trade['order'] == order_id]
def sell(pair: str, rate: float, amount: float) -> str:
if _CONF['dry_run']:
global _DRY_RUN_OPEN_ORDERS
order_id = 'dry_run_sell_{}'.format(randint(0, 10**6))
_DRY_RUN_OPEN_ORDERS[order_id] = {
'pair': pair,
'rate': rate,
'amount': amount,
'type': 'LIMIT_SELL',
'remaining': 0.0,
'opened': arrow.utcnow().datetime,
'closed': arrow.utcnow().datetime,
}
return order_id
return matched_trades
return _API.sell(pair, rate, amount)
except ccxt.NetworkError as e:
raise TemporaryError(
f'Could not get trades due to networking error. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
def get_pair_detail_url(self, pair: str) -> str:
try:
url_base = self._api.urls.get('www')
base, quote = pair.split('/')
def get_balance(currency: str) -> float:
if _CONF['dry_run']:
return 999.9
return url_base + _EXCHANGE_URLS[self._api.id].format(base=base, quote=quote)
except KeyError:
logger.warning('Could not get exchange url for %s', self.name)
return ""
return _API.get_balance(currency)
@retrier
def get_markets(self) -> List[dict]:
try:
return self._api.fetch_markets()
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not load markets due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
@retrier
def get_fee(self, symbol='ETH/BTC', type='', side='', amount=1,
price=1, taker_or_maker='maker') -> float:
try:
# validate that markets are loaded before trying to get fee
if self._api.markets is None or len(self._api.markets) == 0:
self._api.load_markets()
def get_balances():
if _CONF['dry_run']:
return []
return self._api.calculate_fee(symbol=symbol, type=type, side=side, amount=amount,
price=price, takerOrMaker=taker_or_maker)['rate']
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not get fee info due to {e.__class__.__name__}. Message: {e}')
except ccxt.BaseError as e:
raise OperationalException(e)
return _API.get_balances()
def get_ticker(pair: str, refresh: Optional[bool] = True) -> dict:
return _API.get_ticker(pair, refresh)
@cached(TTLCache(maxsize=100, ttl=30))
def get_ticker_history(pair: str, tick_interval) -> List[Dict]:
return _API.get_ticker_history(pair, tick_interval)
def cancel_order(order_id: str) -> None:
if _CONF['dry_run']:
return
return _API.cancel_order(order_id)
def get_order(order_id: str) -> Dict:
if _CONF['dry_run']:
order = _DRY_RUN_OPEN_ORDERS[order_id]
order.update({
'id': order_id
})
return order
return _API.get_order(order_id)
def get_pair_detail_url(pair: str) -> str:
return _API.get_pair_detail_url(pair)
def get_markets() -> List[str]:
return _API.get_markets()
def get_market_summaries() -> List[Dict]:
return _API.get_market_summaries()
def get_name() -> str:
return _API.name
def get_fee() -> float:
return _API.fee
def get_wallet_health() -> List[Dict]:
return _API.get_wallet_health()
def get_amount_lots(self, pair: str, amount: float) -> float:
"""
get buyable amount rounding, ..
"""
# validate that markets are loaded before trying to get fee
if not self._api.markets:
self._api.load_markets()
return self._api.amount_to_lots(pair, amount)

211
freqtrade/exchange/bittrex.py
View File

@ -1,211 +0,0 @@
import logging
from typing import Dict, List, Optional
from bittrex.bittrex import API_V1_1, API_V2_0
from bittrex.bittrex import Bittrex as _Bittrex
from requests.exceptions import ContentDecodingError
from freqtrade import OperationalException
from freqtrade.exchange.interface import Exchange
logger = logging.getLogger(__name__)
_API: _Bittrex = None
_API_V2: _Bittrex = None
_EXCHANGE_CONF: dict = {}
class Bittrex(Exchange):
"""
Bittrex API wrapper.
"""
# Base URL and API endpoints
BASE_URL: str = 'https://www.bittrex.com'
PAIR_DETAIL_METHOD: str = BASE_URL + '/Market/Index'
def __init__(self, config: dict) -> None:
global _API, _API_V2, _EXCHANGE_CONF
_EXCHANGE_CONF.update(config)
_API = _Bittrex(
api_key=_EXCHANGE_CONF['key'],
api_secret=_EXCHANGE_CONF['secret'],
calls_per_second=1,
api_version=API_V1_1,
)
_API_V2 = _Bittrex(
api_key=_EXCHANGE_CONF['key'],
api_secret=_EXCHANGE_CONF['secret'],
calls_per_second=1,
api_version=API_V2_0,
)
self.cached_ticker = {}
@staticmethod
def _validate_response(response) -> None:
"""
Validates the given bittrex response
and raises a ContentDecodingError if a non-fatal issue happened.
"""
temp_error_messages = [
'NO_API_RESPONSE',
'MIN_TRADE_REQUIREMENT_NOT_MET',
]
if response['message'] in temp_error_messages:
raise ContentDecodingError(response['message'])
@property
def fee(self) -> float:
# 0.25 %: See https://bittrex.com/fees
return 0.0025
def buy(self, pair: str, rate: float, amount: float) -> str:
data = _API.buy_limit(pair.replace('_', '-'), amount, rate)
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({pair}, {rate}, {amount})'.format(
message=data['message'],
pair=pair,
rate=rate,
amount=amount))
return data['result']['uuid']
def sell(self, pair: str, rate: float, amount: float) -> str:
data = _API.sell_limit(pair.replace('_', '-'), amount, rate)
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({pair}, {rate}, {amount})'.format(
message=data['message'],
pair=pair,
rate=rate,
amount=amount))
return data['result']['uuid']
def get_balance(self, currency: str) -> float:
data = _API.get_balance(currency)
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({currency})'.format(
message=data['message'],
currency=currency))
return float(data['result']['Balance'] or 0.0)
def get_balances(self):
data = _API.get_balances()
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message}'.format(message=data['message']))
return data['result']
def get_ticker(self, pair: str, refresh: Optional[bool] = True) -> dict:
if refresh or pair not in self.cached_ticker.keys():
data = _API.get_ticker(pair.replace('_', '-'))
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({pair})'.format(
message=data['message'],
pair=pair))
keys = ['Bid', 'Ask', 'Last']
if not data.get('result') or\
not all(key in data.get('result', {}) for key in keys) or\
not all(data.get('result', {})[key] is not None for key in keys):
raise ContentDecodingError('Invalid response from Bittrex params=({pair})'.format(
pair=pair))
# Update the pair
self.cached_ticker[pair] = {
'bid': float(data['result']['Bid']),
'ask': float(data['result']['Ask']),
'last': float(data['result']['Last']),
}
return self.cached_ticker[pair]
def get_ticker_history(self, pair: str, tick_interval: int) -> List[Dict]:
if tick_interval == 1:
interval = 'oneMin'
elif tick_interval == 5:
interval = 'fiveMin'
elif tick_interval == 30:
interval = 'thirtyMin'
elif tick_interval == 60:
interval = 'hour'
elif tick_interval == 1440:
interval = 'Day'
else:
raise ValueError('Unknown tick_interval: {}'.format(tick_interval))
data = _API_V2.get_candles(pair.replace('_', '-'), interval)
# These sanity check are necessary because bittrex cannot keep their API stable.
if not data.get('result'):
raise ContentDecodingError('Invalid response from Bittrex params=({pair})'.format(
pair=pair))
for prop in ['C', 'V', 'O', 'H', 'L', 'T']:
for tick in data['result']:
if prop not in tick.keys():
raise ContentDecodingError('Required property {} not present '
'in response params=({})'.format(prop, pair))
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({pair})'.format(
message=data['message'],
pair=pair))
return data['result']
def get_order(self, order_id: str) -> Dict:
data = _API.get_order(order_id)
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({order_id})'.format(
message=data['message'],
order_id=order_id))
data = data['result']
return {
'id': data['OrderUuid'],
'type': data['Type'],
'pair': data['Exchange'].replace('-', '_'),
'opened': data['Opened'],
'rate': data['PricePerUnit'],
'amount': data['Quantity'],
'remaining': data['QuantityRemaining'],
'closed': data['Closed'],
}
def cancel_order(self, order_id: str) -> None:
data = _API.cancel(order_id)
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException('{message} params=({order_id})'.format(
message=data['message'],
order_id=order_id))
def get_pair_detail_url(self, pair: str) -> str:
return self.PAIR_DETAIL_METHOD + '?MarketName={}'.format(pair.replace('_', '-'))
def get_markets(self) -> List[str]:
data = _API.get_markets()
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException(data['message'])
return [m['MarketName'].replace('-', '_') for m in data['result']]
def get_market_summaries(self) -> List[Dict]:
data = _API.get_market_summaries()
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException(data['message'])
return data['result']
def get_wallet_health(self) -> List[Dict]:
data = _API_V2.get_wallet_health()
if not data['success']:
Bittrex._validate_response(data)
raise OperationalException(data['message'])
return [{
'Currency': entry['Health']['Currency'],
'IsActive': entry['Health']['IsActive'],
'LastChecked': entry['Health']['LastChecked'],
'Notice': entry['Currency'].get('Notice'),
} for entry in data['result']]

172
freqtrade/exchange/interface.py
View File

@ -1,172 +0,0 @@
from abc import ABC, abstractmethod
from typing import Dict, List, Optional
class Exchange(ABC):
@property
def name(self) -> str:
"""
Name of the exchange.
:return: str representation of the class name
"""
return self.__class__.__name__
@property
def fee(self) -> float:
"""
Fee for placing an order
:return: percentage in float
"""
@abstractmethod
def buy(self, pair: str, rate: float, amount: float) -> str:
"""
Places a limit buy order.
:param pair: Pair as str, format: BTC_ETH
:param rate: Rate limit for order
:param amount: The amount to purchase
:return: order_id of the placed buy order
"""
@abstractmethod
def sell(self, pair: str, rate: float, amount: float) -> str:
"""
Places a limit sell order.
:param pair: Pair as str, format: BTC_ETH
:param rate: Rate limit for order
:param amount: The amount to sell
:return: order_id of the placed sell order
"""
@abstractmethod
def get_balance(self, currency: str) -> float:
"""
Gets account balance.
:param currency: Currency as str, format: BTC
:return: float
"""
@abstractmethod
def get_balances(self) -> List[dict]:
"""
Gets account balances across currencies
:return: List of dicts, format: [
{
'Currency': str,
'Balance': float,
'Available': float,
'Pending': float,
}
...
]
"""
@abstractmethod
def get_ticker(self, pair: str, refresh: Optional[bool] = True) -> dict:
"""
Gets ticker for given pair.
:param pair: Pair as str, format: BTC_ETC
:param refresh: Shall we query a new value or a cached value is enough
:return: dict, format: {
'bid': float,
'ask': float,
'last': float
}
"""
@abstractmethod
def get_ticker_history(self, pair: str, tick_interval: int) -> List[Dict]:
"""
Gets ticker history for given pair.
:param pair: Pair as str, format: BTC_ETC
:param tick_interval: ticker interval in minutes
:return: list, format: [
{
'O': float, (Open)
'H': float, (High)
'L': float, (Low)
'C': float, (Close)
'V': float, (Volume)
'T': datetime, (Time)
'BV': float, (Base Volume)
},
...
]
"""
def get_order(self, order_id: str) -> Dict:
"""
Get order details for the given order_id.
:param order_id: ID as str
:return: dict, format: {
'id': str,
'type': str,
'pair': str,
'opened': str ISO 8601 datetime,
'closed': str ISO 8601 datetime,
'rate': float,
'amount': float,
'remaining': int
}
"""
@abstractmethod
def cancel_order(self, order_id: str) -> None:
"""
Cancels order for given order_id.
:param order_id: ID as str
:return: None
"""
@abstractmethod
def get_pair_detail_url(self, pair: str) -> str:
"""
Returns the market detail url for the given pair.
:param pair: Pair as str, format: BTC_ETC
:return: URL as str
"""
@abstractmethod
def get_markets(self) -> List[str]:
"""
Returns all available markets.
:return: List of all available pairs
"""
@abstractmethod
def get_market_summaries(self) -> List[Dict]:
"""
Returns a 24h market summary for all available markets
:return: list, format: [
{
'MarketName': str,
'High': float,
'Low': float,
'Volume': float,
'Last': float,
'TimeStamp': datetime,
'BaseVolume': float,
'Bid': float,
'Ask': float,
'OpenBuyOrders': int,
'OpenSellOrders': int,
'PrevDay': float,
'Created': datetime
},
...
]
"""
@abstractmethod
def get_wallet_health(self) -> List[Dict]:
"""
Returns a list of all wallet health information
:return: list, format: [
{
'Currency': str,
'IsActive': bool,
'LastChecked': str,
'Notice': str
},
...
"""

62
freqtrade/fiat_convert.py
View File

@ -5,8 +5,11 @@ e.g BTC to USD
import logging
import time
from typing import Dict, List
from coinmarketcap import Market
from requests.exceptions import RequestException
from freqtrade.constants import SUPPORTED_FIAT
logger = logging.getLogger(__name__)
@ -32,7 +35,7 @@ class CryptoFiat(object):
self.price = 0.0
# Private attributes
self._expiration = 0
self._expiration = 0.0
self.crypto_symbol = crypto_symbol.upper()
self.fiat_symbol = fiat_symbol.upper()
@ -63,21 +66,9 @@ class CryptoToFiatConverter(object):
This object is also a Singleton
"""
__instance = None
_coinmarketcap = None
_coinmarketcap: Market = None
# Constants
SUPPORTED_FIAT = [
"AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK",
"EUR", "GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY",
"KRW", "MXN", "MYR", "NOK", "NZD", "PHP", "PKR", "PLN",
"RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD"
]
CRYPTOMAP = {
'BTC': 'bitcoin',
'ETH': 'ethereum',
'USDT': 'thether'
}
_cryptomap: Dict = {}
def __new__(cls):
if CryptoToFiatConverter.__instance is None:
@ -89,7 +80,19 @@ class CryptoToFiatConverter(object):
return CryptoToFiatConverter.__instance
def __init__(self) -> None:
self._pairs = []
self._pairs: List[CryptoFiat] = []
self._load_cryptomap()
def _load_cryptomap(self) -> None:
try:
coinlistings = self._coinmarketcap.listings()
self._cryptomap = dict(map(lambda coin: (coin["symbol"], str(coin["id"])),
coinlistings["data"]))
except (ValueError, RequestException) as exception:
logger.error(
"Could not load FIAT Cryptocurrency map for the following problem: %s",
exception
)
def convert_amount(self, crypto_amount: float, crypto_symbol: str, fiat_symbol: str) -> float:
"""
@ -99,6 +102,8 @@ class CryptoToFiatConverter(object):
:param fiat_symbol: fiat to convert to
:return: float, value in fiat of the crypto-currency amount
"""
if crypto_symbol == fiat_symbol:
return crypto_amount
price = self.get_price(crypto_symbol=crypto_symbol, fiat_symbol=fiat_symbol)
return float(crypto_amount) * float(price)
@ -114,7 +119,7 @@ class CryptoToFiatConverter(object):
# Check if the fiat convertion you want is supported
if not self._is_supported_fiat(fiat=fiat_symbol):
raise ValueError('The fiat {} is not supported.'.format(fiat_symbol))
raise ValueError(f'The fiat {fiat_symbol} is not supported.')
# Get the pair that interest us and return the price in fiat
for pair in self._pairs:
@ -166,7 +171,7 @@ class CryptoToFiatConverter(object):
fiat = fiat.upper()
return fiat in self.SUPPORTED_FIAT
return fiat in SUPPORTED_FIAT
def _find_price(self, crypto_symbol: str, fiat_symbol: str) -> float:
"""
@ -177,17 +182,24 @@ class CryptoToFiatConverter(object):
"""
# Check if the fiat convertion you want is supported
if not self._is_supported_fiat(fiat=fiat_symbol):
raise ValueError('The fiat {} is not supported.'.format(fiat_symbol))
raise ValueError(f'The fiat {fiat_symbol} is not supported.')
# No need to convert if both crypto and fiat are the same
if crypto_symbol == fiat_symbol:
return 1.0
if crypto_symbol not in self._cryptomap:
# return 0 for unsupported stake currencies (fiat-convert should not break the bot)
logger.warning("unsupported crypto-symbol %s - returning 0.0", crypto_symbol)
return 0.0
if crypto_symbol not in self.CRYPTOMAP:
raise ValueError(
'The crypto symbol {} is not supported.'.format(crypto_symbol))
try:
return float(
self._coinmarketcap.ticker(
currency=self.CRYPTOMAP[crypto_symbol],
currency=self._cryptomap[crypto_symbol],
convert=fiat_symbol
)[0]['price_' + fiat_symbol.lower()]
)['data']['quotes'][fiat_symbol.upper()]['price']
)
except BaseException:
except BaseException as exception:
logger.error("Error in _find_price: %s", exception)
return 0.0

375
freqtrade/freqtradebot.py
View File

@ -3,7 +3,6 @@ Freqtrade is the main module of this bot. It contains the class Freqtrade()
"""
import copy
import json
import logging
import time
import traceback
@ -12,19 +11,19 @@ from typing import Dict, List, Optional, Any, Callable
import arrow
import requests
from cachetools import cached, TTLCache
from cachetools import TTLCache, cached
from freqtrade import (
DependencyException, OperationalException, exchange, persistence, __version__
DependencyException, OperationalException, TemporaryError, persistence, __version__,
)
from freqtrade.analyze import Analyze
from freqtrade import constants
from freqtrade.analyze import Analyze
from freqtrade.exchange import Exchange
from freqtrade.fiat_convert import CryptoToFiatConverter
from freqtrade.persistence import Trade
from freqtrade.rpc.rpc_manager import RPCManager
from freqtrade.state import State
logger = logging.getLogger(__name__)
@ -34,12 +33,11 @@ class FreqtradeBot(object):
This is from here the bot start its logic.
"""
def __init__(self, config: Dict[str, Any], db_url: Optional[str] = None):
def __init__(self, config: Dict[str, Any])-> None:
"""
Init all variables and object the bot need to work
:param config: configuration dict, you can use the Configuration.get_config()
method to get the config dict.
:param db_url: database connector string for sqlalchemy (Optional)
"""
logger.info(
@ -52,27 +50,22 @@ class FreqtradeBot(object):
# Init objects
self.config = config
self.analyze = None
self.fiat_converter = None
self.rpc = None
self.analyze = Analyze(self.config)
self.fiat_converter = CryptoToFiatConverter()
self.rpc: RPCManager = RPCManager(self)
self.persistence = None
self.exchange = None
self.exchange = Exchange(self.config)
self._init_modules(db_url=db_url)
self._init_modules()
def _init_modules(self, db_url: Optional[str] = None) -> None:
def _init_modules(self) -> None:
"""
Initializes all modules and updates the config
:param db_url: database connector string for sqlalchemy (Optional)
:return: None
"""
# Initialize all modules
self.analyze = Analyze(self.config)
self.fiat_converter = CryptoToFiatConverter()
self.rpc = RPCManager(self)
persistence.init(self.config, db_url)
exchange.init(self.config)
persistence.init(self.config)
# Set initial application state
initial_state = self.config.get('initial_state')
@ -82,19 +75,16 @@ class FreqtradeBot(object):
else:
self.state = State.STOPPED
def clean(self) -> bool:
def cleanup(self) -> None:
"""
Cleanup the application state und finish all pending tasks
Cleanup pending resources on an already stopped bot
:return: None
"""
self.rpc.send_msg('*Status:* `Stopping trader...`')
logger.info('Stopping trader and cleaning up modules...')
self.state = State.STOPPED
logger.info('Cleaning up modules ...')
self.rpc.cleanup()
persistence.cleanup()
return True
def worker(self, old_state: None) -> State:
def worker(self, old_state: State = None) -> State:
"""
Trading routine that must be run at each loop
:param old_state: the previous service state from the previous call
@ -103,7 +93,7 @@ class FreqtradeBot(object):
# Log state transition
state = self.state
if state != old_state:
self.rpc.send_msg('*Status:* `{}`'.format(state.name.lower()))
self.rpc.send_msg(f'*Status:* `{state.name.lower()}`')
logger.info('Changing state to: %s', state.name)
if state == State.STOPPED:
@ -173,66 +163,74 @@ class FreqtradeBot(object):
self.check_handle_timedout(self.config['unfilledtimeout'])
Trade.session.flush()
except (requests.exceptions.RequestException, json.JSONDecodeError) as error:
except TemporaryError as error:
logger.warning('%s, retrying in 30 seconds...', error)
time.sleep(constants.RETRY_TIMEOUT)
except OperationalException:
tb = traceback.format_exc()
hint = 'Issue `/start` if you think it is safe to restart.'
self.rpc.send_msg(
'*Status:* OperationalException:\n```\n{traceback}```{hint}'
.format(
traceback=traceback.format_exc(),
hint='Issue `/start` if you think it is safe to restart.'
)
f'*Status:* OperationalException:\n```\n{tb}```{hint}'
)
logger.exception('OperationalException. Stopping trader ...')
self.state = State.STOPPED
return state_changed
@cached(TTLCache(maxsize=1, ttl=1800))
def _gen_pair_whitelist(self, base_currency: str, key: str = 'BaseVolume') -> List[str]:
def _gen_pair_whitelist(self, base_currency: str, key: str = 'quoteVolume') -> List[str]:
"""
Updates the whitelist with with a dynamically generated list
:param base_currency: base currency as str
:param key: sort key (defaults to 'BaseVolume')
:param key: sort key (defaults to 'quoteVolume')
:return: List of pairs
"""
summaries = sorted(
(s for s in exchange.get_market_summaries() if
s['MarketName'].startswith(base_currency)),
key=lambda s: s.get(key) or 0.0,
reverse=True
)
return [s['MarketName'].replace('-', '_') for s in summaries]
if not self.exchange.exchange_has('fetchTickers'):
raise OperationalException(
'Exchange does not support dynamic whitelist.'
'Please edit your config and restart the bot'
)
tickers = self.exchange.get_tickers()
# check length so that we make sure that '/' is actually in the string
tickers = [v for k, v in tickers.items()
if len(k.split('/')) == 2 and k.split('/')[1] == base_currency]
sorted_tickers = sorted(tickers, reverse=True, key=lambda t: t[key])
pairs = [s['symbol'] for s in sorted_tickers]
return pairs
def _refresh_whitelist(self, whitelist: List[str]) -> List[str]:
"""
Check wallet health and remove pair from whitelist if necessary
Check available markets and remove pair from whitelist if necessary
:param whitelist: the sorted list (based on BaseVolume) of pairs the user might want to
trade
:return: the list of pairs the user wants to trade without the one unavailable or
black_listed
"""
sanitized_whitelist = whitelist
health = exchange.get_wallet_health()
markets = self.exchange.get_markets()
markets = [m for m in markets if m['quote'] == self.config['stake_currency']]
known_pairs = set()
for status in health:
pair = '{}_{}'.format(self.config['stake_currency'], status['Currency'])
for market in markets:
pair = market['symbol']
# pair is not int the generated dynamic market, or in the blacklist ... ignore it
if pair not in whitelist or pair in self.config['exchange'].get('pair_blacklist', []):
continue
# else the pair is valid
known_pairs.add(pair)
# Market is not active
if not status['IsActive']:
if not market['active']:
sanitized_whitelist.remove(pair)
logger.info(
'Ignoring %s from whitelist (reason: %s).',
pair, status.get('Notice') or 'wallet is not active'
'Ignoring %s from whitelist. Market is not active.',
pair
)
# We need to remove pairs that are unknown
final_list = [x for x in sanitized_whitelist if x in known_pairs]
return final_list
def get_target_bid(self, ticker: Dict[str, float]) -> float:
@ -246,27 +244,75 @@ class FreqtradeBot(object):
balance = self.config['bid_strategy']['ask_last_balance']
return ticker['ask'] + balance * (ticker['last'] - ticker['ask'])
def _get_trade_stake_amount(self) -> Optional[float]:
stake_amount = self.config['stake_amount']
avaliable_amount = self.exchange.get_balance(self.config['stake_currency'])
if stake_amount == constants.UNLIMITED_STAKE_AMOUNT:
open_trades = len(Trade.query.filter(Trade.is_open.is_(True)).all())
if open_trades >= self.config['max_open_trades']:
logger.warning('Can\'t open a new trade: max number of trades is reached')
return None
return avaliable_amount / (self.config['max_open_trades'] - open_trades)
# Check if stake_amount is fulfilled
if avaliable_amount < stake_amount:
raise DependencyException(
'Available balance(%f %s) is lower than stake amount(%f %s)' % (
avaliable_amount, self.config['stake_currency'],
stake_amount, self.config['stake_currency'])
)
return stake_amount
def _get_min_pair_stake_amount(self, pair: str, price: float) -> Optional[float]:
markets = self.exchange.get_markets()
markets = [m for m in markets if m['symbol'] == pair]
if not markets:
raise ValueError(f'Can\'t get market information for symbol {pair}')
market = markets[0]
if 'limits' not in market:
return None
min_stake_amounts = []
if 'cost' in market['limits'] and 'min' in market['limits']['cost']:
min_stake_amounts.append(market['limits']['cost']['min'])
if 'amount' in market['limits'] and 'min' in market['limits']['amount']:
min_stake_amounts.append(market['limits']['amount']['min'] * price)
if not min_stake_amounts:
return None
amount_reserve_percent = 1 - 0.05 # reserve 5% + stoploss
if self.analyze.get_stoploss() is not None:
amount_reserve_percent += self.analyze.get_stoploss()
# it should not be more than 50%
amount_reserve_percent = max(amount_reserve_percent, 0.5)
return min(min_stake_amounts)/amount_reserve_percent
def create_trade(self) -> bool:
"""
Checks the implemented trading indicator(s) for a randomly picked pair,
if one pair triggers the buy_signal a new trade record gets created
:param stake_amount: amount of btc to spend
:param interval: Ticker interval used for Analyze
:return: True if a trade object has been created and persisted, False otherwise
"""
stake_amount = self.config['stake_amount']
interval = self.analyze.get_ticker_interval()
stake_amount = self._get_trade_stake_amount()
if not stake_amount:
return False
stake_currency = self.config['stake_currency']
fiat_currency = self.config['fiat_display_currency']
exc_name = self.exchange.name
logger.info(
'Checking buy signals to create a new trade with stake_amount: %f ...',
stake_amount
)
whitelist = copy.deepcopy(self.config['exchange']['pair_whitelist'])
# Check if stake_amount is fulfilled
if exchange.get_balance(self.config['stake_currency']) < stake_amount:
raise DependencyException(
'stake amount is not fulfilled (currency={})'.format(self.config['stake_currency'])
)
# Remove currently opened and latest pairs from whitelist
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
@ -277,50 +323,56 @@ class FreqtradeBot(object):
if not whitelist:
raise DependencyException('No currency pairs in whitelist')
# Pick pair based on StochRSI buy signals
# Pick pair based on buy signals
for _pair in whitelist:
(buy, sell) = self.analyze.get_signal(_pair, interval)
(buy, sell) = self.analyze.get_signal(self.exchange, _pair, interval)
if buy and not sell:
pair = _pair
break
else:
return False
pair_s = pair.replace('_', '/')
pair_url = self.exchange.get_pair_detail_url(pair)
# Calculate amount
buy_limit = self.get_target_bid(exchange.get_ticker(pair))
buy_limit = self.get_target_bid(self.exchange.get_ticker(pair))
min_stake_amount = self._get_min_pair_stake_amount(pair_s, buy_limit)
if min_stake_amount is not None and min_stake_amount > stake_amount:
logger.warning(
f'Can\'t open a new trade for {pair_s}: stake amount'
f' is too small ({stake_amount} < {min_stake_amount})'
)
return False
amount = stake_amount / buy_limit
order_id = exchange.buy(pair, buy_limit, amount)
order_id = self.exchange.buy(pair, buy_limit, amount)['id']
stake_amount_fiat = self.fiat_converter.convert_amount(
stake_amount,
self.config['stake_currency'],
self.config['fiat_display_currency']
stake_currency,
fiat_currency
)
# Create trade entity and return
self.rpc.send_msg(
'*{}:* Buying [{}]({}) with limit `{:.8f} ({:.6f} {}, {:.3f} {})` '
.format(
exchange.get_name().upper(),
pair.replace('_', '/'),
exchange.get_pair_detail_url(pair),
buy_limit,
stake_amount,
self.config['stake_currency'],
stake_amount_fiat,
self.config['fiat_display_currency']
)
f"""*{exc_name}:* Buying [{pair_s}]({pair_url}) \
with limit `{buy_limit:.8f} ({stake_amount:.6f} \
{stake_currency}, {stake_amount_fiat:.3f} {fiat_currency})`"""
)
# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
trade = Trade(
pair=pair,
stake_amount=stake_amount,
amount=amount,
fee=exchange.get_fee(),
fee_open=fee,
fee_close=fee,
open_rate=buy_limit,
open_rate_requested=buy_limit,
open_date=datetime.utcnow(),
exchange=exchange.get_name().upper(),
exchange=self.exchange.id,
open_order_id=order_id
)
Trade.session.add(trade)
@ -348,32 +400,91 @@ class FreqtradeBot(object):
Tries to execute a sell trade
:return: True if executed
"""
# Get order details for actual price per unit
if trade.open_order_id:
# Update trade with order values
logger.info('Found open order for %s', trade)
trade.update(exchange.get_order(trade.open_order_id))
try:
# Get order details for actual price per unit
if trade.open_order_id:
# Update trade with order values
logger.info('Found open order for %s', trade)
order = self.exchange.get_order(trade.open_order_id, trade.pair)
# Try update amount (binance-fix)
try:
new_amount = self.get_real_amount(trade, order)
if order['amount'] != new_amount:
order['amount'] = new_amount
# Fee was applied, so set to 0
trade.fee_open = 0
if trade.is_open and trade.open_order_id is None:
# Check if we can sell our current pair
return self.handle_trade(trade)
except OperationalException as exception:
logger.warning("could not update trade amount: %s", exception)
trade.update(order)
if trade.is_open and trade.open_order_id is None:
# Check if we can sell our current pair
return self.handle_trade(trade)
except DependencyException as exception:
logger.warning('Unable to sell trade: %s', exception)
return False
def get_real_amount(self, trade: Trade, order: Dict) -> float:
"""
Get real amount for the trade
Necessary for self.exchanges which charge fees in base currency (e.g. binance)
"""
order_amount = order['amount']
# Only run for closed orders
if trade.fee_open == 0 or order['status'] == 'open':
return order_amount
# use fee from order-dict if possible
if 'fee' in order and order['fee'] and (order['fee'].keys() >= {'currency', 'cost'}):
if trade.pair.startswith(order['fee']['currency']):
new_amount = order_amount - order['fee']['cost']
logger.info("Applying fee on amount for %s (from %s to %s) from Order",
trade, order['amount'], new_amount)
return new_amount
# Fallback to Trades
trades = self.exchange.get_trades_for_order(trade.open_order_id, trade.pair,
trade.open_date)
if len(trades) == 0:
logger.info("Applying fee on amount for %s failed: myTrade-Dict empty found", trade)
return order_amount
amount = 0
fee_abs = 0
for exectrade in trades:
amount += exectrade['amount']
if "fee" in exectrade and (exectrade['fee'].keys() >= {'currency', 'cost'}):
# only applies if fee is in quote currency!
if trade.pair.startswith(exectrade['fee']['currency']):
fee_abs += exectrade['fee']['cost']
if amount != order_amount:
logger.warning(f"amount {amount} does not match amount {trade.amount}")
raise OperationalException("Half bought? Amounts don't match")
real_amount = amount - fee_abs
if fee_abs != 0:
logger.info(f"""Applying fee on amount for {trade} \
(from {order_amount} to {real_amount}) from Trades""")
return real_amount
def handle_trade(self, trade: Trade) -> bool:
"""
Sells the current pair if the threshold is reached and updates the trade record.
:return: True if trade has been sold, False otherwise
"""
if not trade.is_open:
raise ValueError('attempt to handle closed trade: {}'.format(trade))
raise ValueError(f'attempt to handle closed trade: {trade}')
logger.debug('Handling %s ...', trade)
current_rate = exchange.get_ticker(trade.pair)['bid']
current_rate = self.exchange.get_ticker(trade.pair)['bid']
(buy, sell) = (False, False)
if self.config.get('experimental', {}).get('use_sell_signal'):
(buy, sell) = self.analyze.get_signal(trade.pair, self.analyze.get_ticker_interval())
experimental = self.config.get('experimental', {})
if experimental.get('use_sell_signal') or experimental.get('ignore_roi_if_buy_signal'):
(buy, sell) = self.analyze.get_signal(self.exchange,
trade.pair, self.analyze.get_ticker_interval())
if self.analyze.should_sell(trade, current_rate, datetime.utcnow(), buy, sell):
self.execute_sell(trade, current_rate)
@ -391,22 +502,28 @@ class FreqtradeBot(object):
for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
try:
order = exchange.get_order(trade.open_order_id)
# FIXME: Somehow the query above returns results
# where the open_order_id is in fact None.
# This is probably because the record got
# updated via /forcesell in a different thread.
if not trade.open_order_id:
continue
order = self.exchange.get_order(trade.open_order_id, trade.pair)
except requests.exceptions.RequestException:
logger.info(
'Cannot query order for %s due to %s',
trade,
traceback.format_exc())
continue
ordertime = arrow.get(order['opened'])
ordertime = arrow.get(order['datetime']).datetime
# Check if trade is still actually open
if int(order['remaining']) == 0:
continue
if order['type'] == "LIMIT_BUY" and ordertime < timeoutthreashold:
if order['side'] == 'buy' and ordertime < timeoutthreashold:
self.handle_timedout_limit_buy(trade, order)
elif order['type'] == "LIMIT_SELL" and ordertime < timeoutthreashold:
elif order['side'] == 'sell' and ordertime < timeoutthreashold:
self.handle_timedout_limit_sell(trade, order)
# FIX: 20180110, why is cancel.order unconditionally here, whereas
@ -416,16 +533,14 @@ class FreqtradeBot(object):
"""Buy timeout - cancel order
:return: True if order was fully cancelled
"""
exchange.cancel_order(trade.open_order_id)
pair_s = trade.pair.replace('_', '/')
self.exchange.cancel_order(trade.open_order_id, trade.pair)
if order['remaining'] == order['amount']:
# if trade is not partially completed, just delete the trade
Trade.session.delete(trade)
# FIX? do we really need to flush, caller of
# check_handle_timedout will flush afterwards
Trade.session.flush()
logger.info('Buy order timeout for %s.', trade)
self.rpc.send_msg('*Timeout:* Unfilled buy order for {} cancelled'.format(
trade.pair.replace('_', '/')))
self.rpc.send_msg(f'*Timeout:* Unfilled buy order for {pair_s} cancelled')
return True
# if trade is partially complete, edit the stake details for the trade
@ -434,8 +549,7 @@ class FreqtradeBot(object):
trade.stake_amount = trade.amount * trade.open_rate
trade.open_order_id = None
logger.info('Partial buy order timeout for %s.', trade)
self.rpc.send_msg('*Timeout:* Remaining buy order for {} cancelled'.format(
trade.pair.replace('_', '/')))
self.rpc.send_msg(f'*Timeout:* Remaining buy order for {pair_s} cancelled')
return False
# FIX: 20180110, should cancel_order() be cond. or unconditionally called?
@ -444,16 +558,16 @@ class FreqtradeBot(object):
Sell timeout - cancel order and update trade
:return: True if order was fully cancelled
"""
pair_s = trade.pair.replace('_', '/')
if order['remaining'] == order['amount']:
# if trade is not partially completed, just cancel the trade
exchange.cancel_order(trade.open_order_id)
self.exchange.cancel_order(trade.open_order_id, trade.pair)
trade.close_rate = None
trade.close_profit = None
trade.close_date = None
trade.is_open = True
trade.open_order_id = None
self.rpc.send_msg('*Timeout:* Unfilled sell order for {} cancelled'.format(
trade.pair.replace('_', '/')))
self.rpc.send_msg(f'*Timeout:* Unfilled sell order for {pair_s} cancelled')
logger.info('Sell order timeout for %s.', trade)
return True
@ -467,51 +581,42 @@ class FreqtradeBot(object):
:param limit: limit rate for the sell order
:return: None
"""
exc = trade.exchange
pair = trade.pair
# Execute sell and update trade record
order_id = exchange.sell(str(trade.pair), limit, trade.amount)
order_id = self.exchange.sell(str(trade.pair), limit, trade.amount)['id']
trade.open_order_id = order_id
trade.close_rate_requested = limit
fmt_exp_profit = round(trade.calc_profit_percent(rate=limit) * 100, 2)
profit_trade = trade.calc_profit(rate=limit)
current_rate = exchange.get_ticker(trade.pair, False)['bid']
profit = trade.calc_profit_percent(current_rate)
current_rate = self.exchange.get_ticker(trade.pair)['bid']
profit = trade.calc_profit_percent(limit)
pair_url = self.exchange.get_pair_detail_url(trade.pair)
gain = "profit" if fmt_exp_profit > 0 else "loss"
message = "*{exchange}:* Selling\n" \
"*Current Pair:* [{pair}]({pair_url})\n" \
"*Limit:* `{limit}`\n" \
"*Amount:* `{amount}`\n" \
"*Open Rate:* `{open_rate:.8f}`\n" \
"*Current Rate:* `{current_rate:.8f}`\n" \
"*Profit:* `{profit:.2f}%`" \
"".format(
exchange=trade.exchange,
pair=trade.pair,
pair_url=exchange.get_pair_detail_url(trade.pair),
limit=limit,
open_rate=trade.open_rate,
current_rate=current_rate,
amount=round(trade.amount, 8),
profit=round(profit * 100, 2),
)
message = f"*{exc}:* Selling\n" \
f"*Current Pair:* [{pair}]({pair_url})\n" \
f"*Limit:* `{limit}`\n" \
f"*Amount:* `{round(trade.amount, 8)}`\n" \
f"*Open Rate:* `{trade.open_rate:.8f}`\n" \
f"*Current Rate:* `{current_rate:.8f}`\n" \
f"*Profit:* `{round(profit * 100, 2):.2f}%`" \
""
# For regular case, when the configuration exists
if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
stake = self.config['stake_currency']
fiat = self.config['fiat_display_currency']
fiat_converter = CryptoToFiatConverter()
profit_fiat = fiat_converter.convert_amount(
profit_trade,
self.config['stake_currency'],
self.config['fiat_display_currency']
stake,
fiat
)
message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f} {coin}`' \
'` / {profit_fiat:.3f} {fiat})`' \
''.format(
gain="profit" if fmt_exp_profit > 0 else "loss",
profit_percent=fmt_exp_profit,
profit_coin=profit_trade,
coin=self.config['stake_currency'],
profit_fiat=profit_fiat,
fiat=self.config['fiat_display_currency'],
)
message += f'` ({gain}: {fmt_exp_profit:.2f}%, {profit_trade:.8f} {stake}`' \
f'` / {profit_fiat:.3f} {fiat})`'\
''
# Because telegram._forcesell does not have the configuration
# Ignore the FIAT value and does not show the stake_currency as well
else:

2
freqtrade/indicator_helpers.py
View File

@ -13,7 +13,7 @@ def went_down(series: Series) -> bool:
return series < series.shift(1)
def ehlers_super_smoother(series: Series, smoothing: float = 6) -> type(Series):
def ehlers_super_smoother(series: Series, smoothing: float = 6) -> Series:
magic = pi * sqrt(2) / smoothing
a1 = exp(-magic)
coeff2 = 2 * a1 * cos(magic)

29
freqtrade/main.py
View File

@ -5,11 +5,14 @@ Read the documentation to know what cli arguments you need.
"""
import logging
import sys
from argparse import Namespace
from typing import List
from freqtrade import OperationalException
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.state import State
logger = logging.getLogger('freqtrade')
@ -43,24 +46,48 @@ def main(sysargv: List[str]) -> None:
state = None
while 1:
state = freqtrade.worker(old_state=state)
if state == State.RELOAD_CONF:
freqtrade = reconfigure(freqtrade, args)
except KeyboardInterrupt:
logger.info('SIGINT received, aborting ...')
return_code = 0
except OperationalException as e:
logger.error(str(e))
return_code = 2
except BaseException:
logger.exception('Fatal exception!')
finally:
if freqtrade:
freqtrade.clean()
freqtrade.rpc.send_msg('*Status:* `Process died ...`')
freqtrade.cleanup()
sys.exit(return_code)
def reconfigure(freqtrade: FreqtradeBot, args: Namespace) -> FreqtradeBot:
"""
Cleans up current instance, reloads the configuration and returns the new instance
"""
# Clean up current modules
freqtrade.cleanup()
# Create new instance
freqtrade = FreqtradeBot(Configuration(args).get_config())
freqtrade.rpc.send_msg(
'*Status:* `Config reloaded ...`'.format(
freqtrade.state.name.lower()
)
)
return freqtrade
def set_loggers() -> None:
"""
Set the logger level for Third party libs
:return: None
"""
logging.getLogger('requests.packages.urllib3').setLevel(logging.INFO)
logging.getLogger('ccxt.base.exchange').setLevel(logging.INFO)
logging.getLogger('telegram').setLevel(logging.INFO)

23
freqtrade/misc.py
View File

@ -5,6 +5,7 @@ Various tool function for Freqtrade and scripts
import json
import logging
import re
import gzip
from datetime import datetime
from typing import Dict
@ -63,12 +64,28 @@ def common_datearray(dfs: Dict[str, DataFrame]) -> np.ndarray:
return np.sort(arr, axis=0)
def file_dump_json(filename, data) -> None:
def file_dump_json(filename, data, is_zip=False) -> None:
"""
Dump JSON data into a file
:param filename: file to create
:param data: JSON Data to save
:return:
"""
with open(filename, 'w') as fp:
json.dump(data, fp, default=str)
print(f'dumping json to "{filename}"')
if is_zip:
if not filename.endswith('.gz'):
filename = filename + '.gz'
with gzip.open(filename, 'w') as fp:
json.dump(data, fp, default=str)
else:
with open(filename, 'w') as fp:
json.dump(data, fp, default=str)
def format_ms_time(date: int) -> str:
"""
convert MS date to readable format.
: epoch-string in ms
"""
return datetime.fromtimestamp(date/1000.0).strftime('%Y-%m-%dT%H:%M:%S')

192
freqtrade/optimize/__init__.py
View File

@ -4,38 +4,59 @@ import gzip
import json
import logging
import os
from typing import Optional, List, Dict, Tuple
from typing import Optional, List, Dict, Tuple, Any
import arrow
from freqtrade import misc
from freqtrade.exchange import get_ticker_history
from user_data.hyperopt_conf import hyperopt_optimize_conf
from freqtrade import misc, constants, OperationalException
from freqtrade.exchange import Exchange
from freqtrade.arguments import TimeRange
logger = logging.getLogger(__name__)
def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -> List[Dict]:
stype, start, stop = timerange
if stype == (None, 'line'):
return tickerlist[stop:]
elif stype == ('line', None):
return tickerlist[0:start]
elif stype == ('index', 'index'):
return tickerlist[start:stop]
def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
if not tickerlist:
return tickerlist
return tickerlist
start_index = 0
stop_index = len(tickerlist)
if timerange.starttype == 'line':
stop_index = timerange.startts
if timerange.starttype == 'index':
start_index = timerange.startts
elif timerange.starttype == 'date':
while (start_index < len(tickerlist) and
tickerlist[start_index][0] < timerange.startts * 1000):
start_index += 1
if timerange.stoptype == 'line':
start_index = len(tickerlist) + timerange.stopts
if timerange.stoptype == 'index':
stop_index = timerange.stopts
elif timerange.stoptype == 'date':
while (stop_index > 0 and
tickerlist[stop_index-1][0] > timerange.stopts * 1000):
stop_index -= 1
if start_index > stop_index:
raise ValueError(f'The timerange [{timerange.startts},{timerange.stopts}] is incorrect')
return tickerlist[start_index:stop_index]
def load_tickerdata_file(
datadir: str, pair: str,
ticker_interval: int,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Optional[List[Dict]]:
ticker_interval: str,
timerange: Optional[TimeRange] = None) -> Optional[List[Dict]]:
"""
Load a pair from file,
:return dict OR empty if unsuccesful
"""
path = make_testdata_path(datadir)
pair_file_string = pair.replace('/', '_')
file = os.path.join(path, '{pair}-{ticker_interval}.json'.format(
pair=pair,
pair=pair_file_string,
ticker_interval=ticker_interval,
))
gzipfile = file + '.gz'
@ -58,31 +79,38 @@ def load_tickerdata_file(
return pairdata
def load_data(datadir: str, ticker_interval: int,
pairs: Optional[List[str]] = None,
def load_data(datadir: str,
ticker_interval: str,
pairs: List[str],
refresh_pairs: Optional[bool] = False,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Dict[str, List]:
exchange: Optional[Exchange] = None,
timerange: TimeRange = TimeRange(None, None, 0, 0)) -> Dict[str, List]:
"""
Loads ticker history data for the given parameters
:return: dict
"""
result = {}
_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
# If the user force the refresh of pairs
if refresh_pairs:
logger.info('Download data for all pairs and store them in %s', datadir)
download_pairs(datadir, _pairs, ticker_interval)
if not exchange:
raise OperationalException("Exchange needs to be initialized when "
"calling load_data with refresh_pairs=True")
download_pairs(datadir, exchange, pairs, ticker_interval, timerange=timerange)
for pair in _pairs:
for pair in pairs:
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
if not pairdata:
# download the tickerdata from exchange
download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
# and retry reading the pair
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
result[pair] = pairdata
if pairdata:
result[pair] = pairdata
else:
logger.warning(
'No data for pair: "%s", Interval: %s. '
'Use --refresh-pairs-cached to download the data',
pair,
ticker_interval
)
return result
@ -95,14 +123,20 @@ def make_testdata_path(datadir: str) -> str:
)
def download_pairs(datadir, pairs: List[str], ticker_interval: int) -> bool:
def download_pairs(datadir, exchange: Exchange, pairs: List[str],
ticker_interval: str,
timerange: TimeRange = TimeRange(None, None, 0, 0)) -> bool:
"""For each pairs passed in parameters, download the ticker intervals"""
for pair in pairs:
try:
download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
download_backtesting_testdata(datadir,
exchange=exchange,
pair=pair,
tick_interval=ticker_interval,
timerange=timerange)
except BaseException:
logger.info(
'Failed to download the pair: "%s", Interval: %s min',
'Failed to download the pair: "%s", Interval: %s',
pair,
ticker_interval
)
@ -110,39 +144,89 @@ def download_pairs(datadir, pairs: List[str], ticker_interval: int) -> bool:
return True
# FIX: 20180110, suggest rename interval to tick_interval
def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) -> None:
def load_cached_data_for_updating(filename: str,
tick_interval: str,
timerange: Optional[TimeRange]) -> Tuple[
List[Any],
Optional[int]]:
"""
Download the latest 1 and 5 ticker intervals from Bittrex for the pairs passed in parameters
Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
Load cached data and choose what part of the data should be updated
"""
path = make_testdata_path(datadir)
logger.info(
'Download the pair: "%s", Interval: %s min', pair, interval
)
since_ms = None
filename = os.path.join(path, '{pair}-{interval}.json'.format(
pair=pair.replace("-", "_"),
interval=interval,
))
# user sets timerange, so find the start time
if timerange:
if timerange.starttype == 'date':
since_ms = timerange.startts * 1000
elif timerange.stoptype == 'line':
num_minutes = timerange.stopts * constants.TICKER_INTERVAL_MINUTES[tick_interval]
since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
# read the cached file
if os.path.isfile(filename):
with open(filename, "rt") as file:
data = json.load(file)
# remove the last item, because we are not sure if it is correct
# it could be fetched when the candle was incompleted
if data:
data.pop()
else:
data = []
logger.debug('Current Start: %s', data[1]['T'] if data else None)
logger.debug('Current End: %s', data[-1:][0]['T'] if data else None)
if data:
if since_ms and since_ms < data[0][0]:
# the data is requested for earlier period than the cache has
# so fully redownload all the data
data = []
else:
# a part of the data was already downloaded, so
# download unexist data only
since_ms = data[-1][0] + 1
# Extend data with new ticker history
data.extend([
row for row in get_ticker_history(pair=pair, tick_interval=int(interval))
if row not in data
])
return (data, since_ms)
def download_backtesting_testdata(datadir: str,
exchange: Exchange,
pair: str,
tick_interval: str = '5m',
timerange: Optional[TimeRange] = None) -> None:
"""
Download the latest ticker intervals from the exchange for the pairs passed in parameters
The data is downloaded starting from the last correct ticker interval data that
esists in a cache. If timerange starts earlier than the data in the cache,
the full data will be redownloaded
Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
:param pairs: list of pairs to download
:param tick_interval: ticker interval
:param timerange: range of time to download
:return: None
"""
path = make_testdata_path(datadir)
filepair = pair.replace("/", "_")
filename = os.path.join(path, f'{filepair}-{tick_interval}.json')
logger.info(
'Download the pair: "%s", Interval: %s',
pair,
tick_interval
)
data, since_ms = load_cached_data_for_updating(filename, tick_interval, timerange)
logger.debug("Current Start: %s", misc.format_ms_time(data[1][0]) if data else 'None')
logger.debug("Current End: %s", misc.format_ms_time(data[-1][0]) if data else 'None')
new_data = exchange.get_ticker_history(pair=pair, tick_interval=tick_interval,
since_ms=since_ms)
data.extend(new_data)
logger.debug("New Start: %s", misc.format_ms_time(data[0][0]))
logger.debug("New End: %s", misc.format_ms_time(data[-1][0]))
data = sorted(data, key=lambda _data: _data['T'])
logger.debug('New Start: %s', data[1]['T'])
logger.debug('New End: %s', data[-1:][0]['T'])
misc.file_dump_json(filename, data)

205
freqtrade/optimize/backtesting.py
View File

@ -6,25 +6,40 @@ This module contains the backtesting logic
import logging
import operator
from argparse import Namespace
from typing import Dict, Tuple, Any, List, Optional
from datetime import datetime
from typing import Dict, Tuple, Any, List, Optional, NamedTuple
import arrow
from pandas import DataFrame
from tabulate import tabulate
import freqtrade.optimize as optimize
from freqtrade import exchange
from freqtrade import constants, DependencyException
from freqtrade.exchange import Exchange
from freqtrade.analyze import Analyze
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.exchange import Bittrex
from freqtrade.misc import file_dump_json
from freqtrade.persistence import Trade
logger = logging.getLogger(__name__)
class BacktestResult(NamedTuple):
"""
NamedTuple Defining BacktestResults inputs.
"""
pair: str
profit_percent: float
profit_abs: float
open_time: datetime
close_time: datetime
open_index: int
close_index: int
trade_duration: float
open_at_end: bool
class Backtesting(object):
"""
Backtesting class, this class contains all the logic to run a backtest
@ -35,24 +50,20 @@ class Backtesting(object):
"""
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
self.analyze = None
self.ticker_interval = None
self.tickerdata_to_dataframe = None
self.populate_buy_trend = None
self.populate_sell_trend = None
self._init()
def _init(self) -> None:
"""
Init objects required for backtesting
:return: None
"""
self.analyze = Analyze(self.config)
self.ticker_interval = self.analyze.strategy.ticker_interval
self.tickerdata_to_dataframe = self.analyze.tickerdata_to_dataframe
self.populate_buy_trend = self.analyze.populate_buy_trend
self.populate_sell_trend = self.analyze.populate_sell_trend
exchange._API = Bittrex({'key': '', 'secret': ''})
# Reset keys for backtesting
self.config['exchange']['key'] = ''
self.config['exchange']['secret'] = ''
self.config['exchange']['password'] = ''
self.config['exchange']['uid'] = ''
self.config['dry_run'] = True
self.exchange = Exchange(self.config)
self.fee = self.exchange.get_fee()
@staticmethod
def get_timeframe(data: Dict[str, DataFrame]) -> Tuple[arrow.Arrow, arrow.Arrow]:
@ -73,22 +84,22 @@ class Backtesting(object):
Generates and returns a text table for the given backtest data and the results dataframe
:return: pretty printed table with tabulate as str
"""
stake_currency = self.config.get('stake_currency')
stake_currency = str(self.config.get('stake_currency'))
floatfmt = ('s', 'd', '.2f', '.8f', '.1f')
tabular_data = []
headers = ['pair', 'buy count', 'avg profit %',
'total profit ' + stake_currency, 'avg duration', 'profit', 'loss']
for pair in data:
result = results[results.currency == pair]
result = results[results.pair == pair]
tabular_data.append([
pair,
len(result.index),
result.profit_percent.mean() * 100.0,
result.profit_BTC.sum(),
result.duration.mean(),
len(result[result.profit_BTC > 0]),
len(result[result.profit_BTC < 0])
result.profit_abs.sum(),
result.trade_duration.mean(),
len(result[result.profit_abs > 0]),
len(result[result.profit_abs < 0])
])
# Append Total
@ -96,16 +107,28 @@ class Backtesting(object):
'TOTAL',
len(results.index),
results.profit_percent.mean() * 100.0,
results.profit_BTC.sum(),
results.duration.mean(),
len(results[results.profit_BTC > 0]),
len(results[results.profit_BTC < 0])
results.profit_abs.sum(),
results.trade_duration.mean(),
len(results[results.profit_abs > 0]),
len(results[results.profit_abs < 0])
])
return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
return tabulate(tabular_data, headers=headers, floatfmt=floatfmt, tablefmt="pipe")
def _store_backtest_result(self, recordfilename: Optional[str], results: DataFrame) -> None:
records = [(trade_entry.pair, trade_entry.profit_percent,
trade_entry.open_time.timestamp(),
trade_entry.close_time.timestamp(),
trade_entry.open_index - 1, trade_entry.trade_duration)
for index, trade_entry in results.iterrows()]
if records:
logger.info('Dumping backtest results to %s', recordfilename)
file_dump_json(recordfilename, records)
def _get_sell_trade_entry(
self, pair: str, buy_row: DataFrame,
partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[Tuple]:
partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[BacktestResult]:
stake_amount = args['stake_amount']
max_open_trades = args.get('max_open_trades', 0)
@ -114,7 +137,8 @@ class Backtesting(object):
open_date=buy_row.date,
stake_amount=stake_amount,
amount=stake_amount / buy_row.open,
fee=exchange.get_fee()
fee_open=self.fee,
fee_close=self.fee
)
# calculate win/lose forwards from buy point
@ -126,15 +150,33 @@ class Backtesting(object):
buy_signal = sell_row.buy
if self.analyze.should_sell(trade, sell_row.close, sell_row.date, buy_signal,
sell_row.sell):
return \
sell_row, \
(
pair,
trade.calc_profit_percent(rate=sell_row.close),
trade.calc_profit(rate=sell_row.close),
(sell_row.date - buy_row.date).seconds // 60
), \
sell_row.date
return BacktestResult(pair=pair,
profit_percent=trade.calc_profit_percent(rate=sell_row.close),
profit_abs=trade.calc_profit(rate=sell_row.close),
open_time=buy_row.date,
close_time=sell_row.date,
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=False
)
if partial_ticker:
# no sell condition found - trade stil open at end of backtest period
sell_row = partial_ticker[-1]
btr = BacktestResult(pair=pair,
profit_percent=trade.calc_profit_percent(rate=sell_row.close),
profit_abs=trade.calc_profit(rate=sell_row.close),
open_time=buy_row.date,
close_time=sell_row.date,
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=True
)
logger.debug('Force_selling still open trade %s with %s perc - %s', btr.pair,
btr.profit_percent, btr.profit_abs)
return btr
return None
def backtest(self, args: Dict) -> DataFrame:
@ -150,22 +192,28 @@ class Backtesting(object):
processed: a processed dictionary with format {pair, data}
max_open_trades: maximum number of concurrent trades (default: 0, disabled)
realistic: do we try to simulate realistic trades? (default: True)
sell_profit_only: sell if profit only
use_sell_signal: act on sell-signal
:return: DataFrame
"""
headers = ['date', 'buy', 'open', 'close', 'sell']
processed = args['processed']
max_open_trades = args.get('max_open_trades', 0)
realistic = args.get('realistic', False)
record = args.get('record', None)
records = []
trades = []
trade_count_lock = {}
trade_count_lock: Dict = {}
for pair, pair_data in processed.items():
pair_data['buy'], pair_data['sell'] = 0, 0 # cleanup from previous run
ticker_data = self.populate_sell_trend(self.populate_buy_trend(pair_data))[headers]
ticker_data = self.populate_sell_trend(
self.populate_buy_trend(pair_data))[headers].copy()
# to avoid using data from future, we buy/sell with signal from previous candle
ticker_data.loc[:, 'buy'] = ticker_data['buy'].shift(1)
ticker_data.loc[:, 'sell'] = ticker_data['sell'].shift(1)
ticker_data.drop(ticker_data.head(1).index, inplace=True)
# Convert from Pandas to list for performance reasons
# (Looping Pandas is slow.)
ticker = [x for x in ticker_data.itertuples()]
lock_pair_until = None
@ -183,28 +231,18 @@ class Backtesting(object):
trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1
ret = self._get_sell_trade_entry(pair, row, ticker[index + 1:],
trade_count_lock, args)
trade_entry = self._get_sell_trade_entry(pair, row, ticker[index + 1:],
trade_count_lock, args)
if ret:
row2, trade_entry, next_date = ret
lock_pair_until = next_date
if trade_entry:
lock_pair_until = trade_entry.close_time
trades.append(trade_entry)
if record:
# Note, need to be json.dump friendly
# record a tuple of pair, current_profit_percent,
# entry-date, duration
records.append((pair, trade_entry[1],
row.date.strftime('%s'),
row2.date.strftime('%s'),
index, trade_entry[3]))
# For now export inside backtest(), maybe change so that backtest()
# returns a tuple like: (dataframe, records, logs, etc)
if record and record.find('trades') >= 0:
logger.info('Dumping backtest results')
file_dump_json('backtest-result.json', records)
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
return DataFrame.from_records(trades, columns=labels)
else:
# Set lock_pair_until to end of testing period if trade could not be closed
# This happens only if the buy-signal was with the last candle
lock_pair_until = ticker_data.iloc[-1].date
return DataFrame.from_records(trades, columns=BacktestResult._fields)
def start(self) -> None:
"""
@ -219,19 +257,24 @@ class Backtesting(object):
if self.config.get('live'):
logger.info('Downloading data for all pairs in whitelist ...')
for pair in pairs:
data[pair] = exchange.get_ticker_history(pair, self.ticker_interval)
data[pair] = self.exchange.get_ticker_history(pair, self.ticker_interval)
else:
logger.info('Using local backtesting data (using whitelist in given config) ...')
timerange = Arguments.parse_timerange(self.config.get('timerange'))
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = optimize.load_data(
self.config['datadir'],
pairs=pairs,
ticker_interval=self.ticker_interval,
refresh_pairs=self.config.get('refresh_pairs', False),
exchange=self.exchange,
timerange=timerange
)
if not data:
logger.critical("No data found. Terminating.")
return
# Ignore max_open_trades in backtesting, except realistic flag was passed
if self.config.get('realistic_simulation', False):
max_open_trades = self.config['max_open_trades']
@ -251,23 +294,22 @@ class Backtesting(object):
)
# Execute backtest and print results
sell_profit_only = self.config.get('experimental', {}).get('sell_profit_only', False)
use_sell_signal = self.config.get('experimental', {}).get('use_sell_signal', False)
results = self.backtest(
{
'stake_amount': self.config.get('stake_amount'),
'processed': preprocessed,
'max_open_trades': max_open_trades,
'realistic': self.config.get('realistic_simulation', False),
'sell_profit_only': sell_profit_only,
'use_sell_signal': use_sell_signal,
'record': self.config.get('export')
}
)
if self.config.get('export', False):
self._store_backtest_result(self.config.get('exportfilename'), results)
logger.info(
'\n==================================== '
'\n======================================== '
'BACKTESTING REPORT'
' ====================================\n'
' =========================================\n'
'%s',
self._generate_text_table(
data,
@ -275,6 +317,17 @@ class Backtesting(object):
)
)
logger.info(
'\n====================================== '
'LEFT OPEN TRADES REPORT'
' ======================================\n'
'%s',
self._generate_text_table(
data,
results.loc[results.open_at_end]
)
)
def setup_configuration(args: Namespace) -> Dict[str, Any]:
"""
@ -289,6 +342,10 @@ def setup_configuration(args: Namespace) -> Dict[str, Any]:
config['exchange']['key'] = ''
config['exchange']['secret'] = ''
if config['stake_amount'] == constants.UNLIMITED_STAKE_AMOUNT:
raise DependencyException('stake amount could not be "%s" for backtesting' %
constants.UNLIMITED_STAKE_AMOUNT)
return config

70
freqtrade/optimize/hyperopt.py
View File

@ -14,12 +14,11 @@ from argparse import Namespace
from functools import reduce
from math import exp
from operator import itemgetter
from typing import Dict, Any, Callable
from typing import Dict, Any, Callable, Optional
import numpy
import talib.abstract as ta
from hyperopt import STATUS_FAIL, STATUS_OK, Trials, fmin, hp, space_eval, tpe
from hyperopt.mongoexp import MongoTrials
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
@ -27,8 +26,6 @@ from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.optimize import load_data
from freqtrade.optimize.backtesting import Backtesting
from user_data.hyperopt_conf import hyperopt_optimize_conf
logger = logging.getLogger(__name__)
@ -42,7 +39,6 @@ class Hyperopt(Backtesting):
hyperopt.start()
"""
def __init__(self, config: Dict[str, Any]) -> None:
super().__init__(config)
# set TARGET_TRADES to suit your number concurrent trades so its realistic
# to the number of days
@ -61,7 +57,7 @@ class Hyperopt(Backtesting):
self.expected_max_profit = 3.0
# Configuration and data used by hyperopt
self.processed = None
self.processed: Optional[Dict[str, Any]] = None
# Hyperopt Trials
self.trials_file = os.path.join('user_data', 'hyperopt_trials.pickle')
@ -345,7 +341,7 @@ class Hyperopt(Backtesting):
"""
Return the space to use during Hyperopt
"""
spaces = {}
spaces: Dict = {}
if self.has_space('buy'):
spaces = {**spaces, **Hyperopt.indicator_space()}
if self.has_space('roi'):
@ -452,10 +448,11 @@ class Hyperopt(Backtesting):
total_profit = results.profit_percent.sum()
trade_count = len(results.index)
trade_duration = results.duration.mean()
trade_duration = results.trade_duration.mean()
if trade_count == 0 or trade_duration > self.max_accepted_trade_duration:
print('.', end='')
sys.stdout.flush()
return {
'status': STATUS_FAIL,
'loss': float('inf')
@ -480,59 +477,48 @@ class Hyperopt(Backtesting):
'result': result_explanation,
}
@staticmethod
def format_results(results: DataFrame) -> str:
def format_results(self, results: DataFrame) -> str:
"""
Return the format result in a string
"""
return ('{:6d} trades. Avg profit {: 5.2f}%. '
'Total profit {: 11.8f} BTC ({:.4f}Σ%). Avg duration {:5.1f} mins.').format(
'Total profit {: 11.8f} {} ({:.4f}Σ%). Avg duration {:5.1f} mins.').format(
len(results.index),
results.profit_percent.mean() * 100.0,
results.profit_BTC.sum(),
results.profit_abs.sum(),
self.config['stake_currency'],
results.profit_percent.sum(),
results.duration.mean(),
results.trade_duration.mean(),
)
def start(self) -> None:
timerange = Arguments.parse_timerange(self.config.get('timerange'))
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = load_data(
datadir=self.config.get('datadir'),
datadir=str(self.config.get('datadir')),
pairs=self.config['exchange']['pair_whitelist'],
ticker_interval=self.ticker_interval,
timerange=timerange
)
if self.has_space('buy'):
self.analyze.populate_indicators = Hyperopt.populate_indicators
self.analyze.populate_indicators = Hyperopt.populate_indicators # type: ignore
self.processed = self.tickerdata_to_dataframe(data)
if self.config.get('mongodb'):
logger.info('Using mongodb ...')
logger.info('Preparing Trials..')
signal.signal(signal.SIGINT, self.signal_handler)
# read trials file if we have one
if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
self.trials = self.read_trials()
self.current_tries = len(self.trials.results)
self.total_tries += self.current_tries
logger.info(
'Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!'
'Continuing with trials. Current: %d, Total: %d',
self.current_tries,
self.total_tries
)
db_name = 'freqtrade_hyperopt'
self.trials = MongoTrials(
arg='mongo://127.0.0.1:1234/{}/jobs'.format(db_name),
exp_key='exp1'
)
else:
logger.info('Preparing Trials..')
signal.signal(signal.SIGINT, self.signal_handler)
# read trials file if we have one
if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
self.trials = self.read_trials()
self.current_tries = len(self.trials.results)
self.total_tries += self.current_tries
logger.info(
'Continuing with trials. Current: %d, Total: %d',
self.current_tries,
self.total_tries
)
try:
best_parameters = fmin(
fn=self.generate_optimizer,
@ -588,18 +574,14 @@ def start(args: Namespace) -> None:
"""
# Remove noisy log messages
logging.getLogger('hyperopt.mongoexp').setLevel(logging.WARNING)
logging.getLogger('hyperopt.tpe').setLevel(logging.WARNING)
# Initialize configuration
# Monkey patch the configuration with hyperopt_conf.py
configuration = Configuration(args)
logger.info('Starting freqtrade in Hyperopt mode')
config = configuration.load_config()
optimize_config = hyperopt_optimize_conf()
config = configuration._load_common_config(optimize_config)
config = configuration._load_backtesting_config(config)
config = configuration._load_hyperopt_config(config)
config['exchange']['key'] = ''
config['exchange']['secret'] = ''

121
freqtrade/persistence.py
View File

@ -5,57 +5,111 @@ This module contains the class to persist trades into SQLite
import logging
from datetime import datetime
from decimal import Decimal, getcontext
from typing import Dict, Optional
from typing import Dict, Optional, Any
import arrow
from sqlalchemy import (Boolean, Column, DateTime, Float, Integer, String,
create_engine)
from sqlalchemy.engine import Engine
from sqlalchemy import inspect
from sqlalchemy.exc import NoSuchModuleError
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm.scoping import scoped_session
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy.pool import StaticPool
from freqtrade import OperationalException
logger = logging.getLogger(__name__)
_CONF = {}
_DECL_BASE = declarative_base()
_DECL_BASE: Any = declarative_base()
def init(config: dict, engine: Optional[Engine] = None) -> None:
def init(config: Dict) -> None:
"""
Initializes this module with the given config,
registers all known command handlers
and starts polling for message updates
:param config: config to use
:param engine: database engine for sqlalchemy (Optional)
:return: None
"""
_CONF.update(config)
if not engine:
if _CONF.get('dry_run', False):
# the user wants dry run to use a DB
if _CONF.get('dry_run_db', False):
engine = create_engine('sqlite:///tradesv3.dry_run.sqlite')
# Otherwise dry run will store in memory
else:
engine = create_engine('sqlite://',
connect_args={'check_same_thread': False},
poolclass=StaticPool,
echo=False)
else:
engine = create_engine('sqlite:///tradesv3.sqlite')
db_url = config.get('db_url', None)
kwargs = {}
# Take care of thread ownership if in-memory db
if db_url == 'sqlite://':
kwargs.update({
'connect_args': {'check_same_thread': False},
'poolclass': StaticPool,
'echo': False,
})
try:
engine = create_engine(db_url, **kwargs)
except NoSuchModuleError:
error = 'Given value for db_url: \'{}\' is no valid database URL! (See {}).'.format(
db_url, 'http://docs.sqlalchemy.org/en/latest/core/engines.html#database-urls'
)
raise OperationalException(error)
session = scoped_session(sessionmaker(bind=engine, autoflush=True, autocommit=True))
Trade.session = session()
Trade.query = session.query_property()
_DECL_BASE.metadata.create_all(engine)
check_migrate(engine)
# Clean dry_run DB
if _CONF.get('dry_run', False) and _CONF.get('dry_run_db', False):
# Clean dry_run DB if the db is not in-memory
if config.get('dry_run', False) and db_url != 'sqlite://':
clean_dry_run_db()
def has_column(columns, searchname: str) -> bool:
return len(list(filter(lambda x: x["name"] == searchname, columns))) == 1
def check_migrate(engine) -> None:
"""
Checks if migration is necessary and migrates if necessary
"""
inspector = inspect(engine)
cols = inspector.get_columns('trades')
if not has_column(cols, 'fee_open'):
# Schema migration necessary
engine.execute("alter table trades rename to trades_bak")
# let SQLAlchemy create the schema as required
_DECL_BASE.metadata.create_all(engine)
# Copy data back - following the correct schema
engine.execute("""insert into trades
(id, exchange, pair, is_open, fee_open, fee_close, open_rate,
open_rate_requested, close_rate, close_rate_requested, close_profit,
stake_amount, amount, open_date, close_date, open_order_id)
select id, lower(exchange),
case
when instr(pair, '_') != 0 then
substr(pair, instr(pair, '_') + 1) || '/' ||
substr(pair, 1, instr(pair, '_') - 1)
else pair
end
pair,
is_open, fee fee_open, fee fee_close,
open_rate, null open_rate_requested, close_rate,
null close_rate_requested, close_profit,
stake_amount, amount, open_date, close_date, open_order_id
from trades_bak
""")
# Reread columns - the above recreated the table!
inspector = inspect(engine)
cols = inspector.get_columns('trades')
if not has_column(cols, 'open_rate_requested'):
engine.execute("alter table trades add open_rate_requested float")
if not has_column(cols, 'close_rate_requested'):
engine.execute("alter table trades add close_rate_requested float")
def cleanup() -> None:
"""
Flushes all pending operations to disk.
@ -85,9 +139,12 @@ class Trade(_DECL_BASE):
exchange = Column(String, nullable=False)
pair = Column(String, nullable=False)
is_open = Column(Boolean, nullable=False, default=True)
fee = Column(Float, nullable=False, default=0.0)
fee_open = Column(Float, nullable=False, default=0.0)
fee_close = Column(Float, nullable=False, default=0.0)
open_rate = Column(Float)
open_rate_requested = Column(Float)
close_rate = Column(Float)
close_rate_requested = Column(Float)
close_profit = Column(Float)
stake_amount = Column(Float, nullable=False)
amount = Column(Float)
@ -111,20 +168,20 @@ class Trade(_DECL_BASE):
:return: None
"""
# Ignore open and cancelled orders
if not order['closed'] or order['rate'] is None:
if order['status'] == 'open' or order['price'] is None:
return
logger.info('Updating trade (id=%d) ...', self.id)
getcontext().prec = 8 # Bittrex do not go above 8 decimal
if order['type'] == 'LIMIT_BUY':
if order['type'] == 'limit' and order['side'] == 'buy':
# Update open rate and actual amount
self.open_rate = Decimal(order['rate'])
self.open_rate = Decimal(order['price'])
self.amount = Decimal(order['amount'])
logger.info('LIMIT_BUY has been fulfilled for %s.', self)
self.open_order_id = None
elif order['type'] == 'LIMIT_SELL':
self.close(order['rate'])
elif order['type'] == 'limit' and order['side'] == 'sell':
self.close(order['price'])
else:
raise ValueError('Unknown order type: {}'.format(order['type']))
cleanup()
@ -156,7 +213,7 @@ class Trade(_DECL_BASE):
getcontext().prec = 8
buy_trade = (Decimal(self.amount) * Decimal(self.open_rate))
fees = buy_trade * Decimal(fee or self.fee)
fees = buy_trade * Decimal(fee or self.fee_open)
return float(buy_trade + fees)
def calc_close_trade_price(
@ -177,7 +234,7 @@ class Trade(_DECL_BASE):
return 0.0
sell_trade = (Decimal(self.amount) * Decimal(rate or self.close_rate))
fees = sell_trade * Decimal(fee or self.fee)
fees = sell_trade * Decimal(fee or self.fee_close)
return float(sell_trade - fees)
def calc_profit(
@ -195,7 +252,7 @@ class Trade(_DECL_BASE):
open_trade_price = self.calc_open_trade_price()
close_trade_price = self.calc_close_trade_price(
rate=(rate or self.close_rate),
fee=(fee or self.fee)
fee=(fee or self.fee_close)
)
return float("{0:.8f}".format(close_trade_price - open_trade_price))
@ -215,7 +272,7 @@ class Trade(_DECL_BASE):
open_trade_price = self.calc_open_trade_price()
close_trade_price = self.calc_close_trade_price(
rate=(rate or self.close_rate),
fee=(fee or self.fee)
fee=(fee or self.fee_close)
)
return float("{0:.8f}".format((close_trade_price / open_trade_price) - 1))

279
freqtrade/rpc/rpc.py
View File

@ -2,23 +2,33 @@
This module contains class to define a RPC communications
"""
import logging
from datetime import datetime, timedelta
from abc import abstractmethod
from datetime import datetime, timedelta, date
from decimal import Decimal
from typing import Tuple, Any
from typing import Dict, Tuple, Any, List
import arrow
import sqlalchemy as sql
from numpy import mean, nan_to_num
from pandas import DataFrame
from freqtrade import exchange
from freqtrade.misc import shorten_date
from freqtrade.persistence import Trade
from freqtrade.state import State
logger = logging.getLogger(__name__)
class RPCException(Exception):
"""
Should be raised with a rpc-formatted message in an _rpc_* method
if the required state is wrong, i.e.:
raise RPCException('*Status:* `no active trade`')
"""
pass
class RPC(object):
"""
RPC class can be used to have extra feature, like bot data, and access to DB data
@ -29,28 +39,40 @@ class RPC(object):
:param freqtrade: Instance of a freqtrade bot
:return: None
"""
self.freqtrade = freqtrade
self._freqtrade = freqtrade
def rpc_trade_status(self) -> Tuple[bool, Any]:
@abstractmethod
def cleanup(self) -> None:
""" Cleanup pending module resources """
@property
@abstractmethod
def name(self) -> str:
""" Returns the lowercase name of this module """
@abstractmethod
def send_msg(self, msg: str) -> None:
""" Sends a message to all registered rpc modules """
def _rpc_trade_status(self) -> List[str]:
"""
Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
a remotely exposed function
:return:
"""
# Fetch open trade
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
if self.freqtrade.state != State.RUNNING:
return True, '*Status:* `trader is not running`'
if self._freqtrade.state != State.RUNNING:
raise RPCException('*Status:* `trader is not running`')
elif not trades:
return True, '*Status:* `no active trade`'
raise RPCException('*Status:* `no active trade`')
else:
result = []
for trade in trades:
order = None
if trade.open_order_id:
order = exchange.get_order(trade.open_order_id)
order = self._freqtrade.exchange.get_order(trade.open_order_id, trade.pair)
# calculate profit and send message to user
current_rate = exchange.get_ticker(trade.pair, False)['bid']
current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
current_profit = trade.calc_profit_percent(current_rate)
fmt_close_profit = '{:.2f}%'.format(
round(trade.close_profit * 100, 2)
@ -68,7 +90,7 @@ class RPC(object):
.format(
trade_id=trade.id,
pair=trade.pair,
market_url=exchange.get_pair_detail_url(trade.pair),
market_url=self._freqtrade.exchange.get_pair_detail_url(trade.pair),
date=arrow.get(trade.open_date).humanize(),
open_rate=trade.open_rate,
close_rate=trade.close_rate,
@ -76,24 +98,24 @@ class RPC(object):
amount=round(trade.amount, 8),
close_profit=fmt_close_profit,
current_profit=round(current_profit * 100, 2),
open_order='({} rem={:.8f})'.format(
order['type'], order['remaining']
open_order='({} {} rem={:.8f})'.format(
order['type'], order['side'], order['remaining']
) if order else None,
)
result.append(message)
return False, result
return result
def rpc_status_table(self) -> Tuple[bool, Any]:
def _rpc_status_table(self) -> DataFrame:
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
if self.freqtrade.state != State.RUNNING:
return True, '*Status:* `trader is not running`'
if self._freqtrade.state != State.RUNNING:
raise RPCException('*Status:* `trader is not running`')
elif not trades:
return True, '*Status:* `no active order`'
raise RPCException('*Status:* `no active order`')
else:
trades_list = []
for trade in trades:
# calculate profit and send message to user
current_rate = exchange.get_ticker(trade.pair, False)['bid']
current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
trades_list.append([
trade.id,
trade.pair,
@ -104,22 +126,18 @@ class RPC(object):
columns = ['ID', 'Pair', 'Since', 'Profit']
df_statuses = DataFrame.from_records(trades_list, columns=columns)
df_statuses = df_statuses.set_index(columns[0])
# The style used throughout is to return a tuple
# consisting of (error_occured?, result)
# Another approach would be to just return the
# result, or raise error
return False, df_statuses
return df_statuses
def rpc_daily_profit(
def _rpc_daily_profit(
self, timescale: int,
stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
stake_currency: str, fiat_display_currency: str) -> List[List[Any]]:
today = datetime.utcnow().date()
profit_days = {}
profit_days: Dict[date, Dict] = {}
if not (isinstance(timescale, int) and timescale > 0):
return True, '*Daily [n]:* `must be an integer greater than 0`'
raise RPCException('*Daily [n]:* `must be an integer greater than 0`')
fiat = self.freqtrade.fiat_converter
fiat = self._freqtrade.fiat_converter
for day in range(0, timescale):
profitday = today - timedelta(days=day)
trades = Trade.query \
@ -134,7 +152,7 @@ class RPC(object):
'trades': len(trades)
}
stats = [
return [
[
key,
'{value:.8f} {symbol}'.format(
@ -156,13 +174,10 @@ class RPC(object):
]
for key, value in profit_days.items()
]
return False, stats
def rpc_trade_statistics(
self, stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
"""
:return: cumulative profit statistics.
"""
def _rpc_trade_statistics(
self, stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
""" Returns cumulative profit statistics """
trades = Trade.query.order_by(Trade.id).all()
profit_all_coin = []
@ -172,7 +187,7 @@ class RPC(object):
durations = []
for trade in trades:
current_rate = None
current_rate: float = 0.0
if not trade.open_rate:
continue
@ -185,7 +200,7 @@ class RPC(object):
profit_closed_percent.append(profit_percent)
else:
# Get current rate
current_rate = exchange.get_ticker(trade.pair, False)['bid']
current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
profit_percent = trade.calc_profit_percent(rate=current_rate)
profit_all_coin.append(
@ -200,141 +215,140 @@ class RPC(object):
.order_by(sql.text('profit_sum DESC')).first()
if not best_pair:
return True, '*Status:* `no closed trade`'
raise RPCException('*Status:* `no closed trade`')
bp_pair, bp_rate = best_pair
# FIX: we want to keep fiatconverter in a state/environment,
# doing this will utilize its caching functionallity, instead we reinitialize it here
fiat = self.freqtrade.fiat_converter
fiat = self._freqtrade.fiat_converter
# Prepare data to display
profit_closed_coin = round(sum(profit_closed_coin), 8)
profit_closed_percent = round(sum(profit_closed_percent) * 100, 2)
profit_closed_percent = round(nan_to_num(mean(profit_closed_percent)) * 100, 2)
profit_closed_fiat = fiat.convert_amount(
profit_closed_coin,
stake_currency,
fiat_display_currency
)
profit_all_coin = round(sum(profit_all_coin), 8)
profit_all_percent = round(sum(profit_all_percent) * 100, 2)
profit_all_percent = round(nan_to_num(mean(profit_all_percent)) * 100, 2)
profit_all_fiat = fiat.convert_amount(
profit_all_coin,
stake_currency,
fiat_display_currency
)
num = float(len(durations) or 1)
return (
False,
{
'profit_closed_coin': profit_closed_coin,
'profit_closed_percent': profit_closed_percent,
'profit_closed_fiat': profit_closed_fiat,
'profit_all_coin': profit_all_coin,
'profit_all_percent': profit_all_percent,
'profit_all_fiat': profit_all_fiat,
'trade_count': len(trades),
'first_trade_date': arrow.get(trades[0].open_date).humanize(),
'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
'best_pair': bp_pair,
'best_rate': round(bp_rate * 100, 2)
}
)
def rpc_balance(self, fiat_display_currency: str) -> Tuple[bool, Any]:
"""
:return: current account balance per crypto
"""
balances = [
c for c in exchange.get_balances()
if c['Balance'] or c['Available'] or c['Pending']
]
if not balances:
return True, '`All balances are zero.`'
return {
'profit_closed_coin': profit_closed_coin,
'profit_closed_percent': profit_closed_percent,
'profit_closed_fiat': profit_closed_fiat,
'profit_all_coin': profit_all_coin,
'profit_all_percent': profit_all_percent,
'profit_all_fiat': profit_all_fiat,
'trade_count': len(trades),
'first_trade_date': arrow.get(trades[0].open_date).humanize(),
'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
'best_pair': bp_pair,
'best_rate': round(bp_rate * 100, 2),
}
def _rpc_balance(self, fiat_display_currency: str) -> Tuple[List[Dict], float, str, float]:
""" Returns current account balance per crypto """
output = []
total = 0.0
for currency in balances:
coin = currency['Currency']
for coin, balance in self._freqtrade.exchange.get_balances().items():
if not balance['total']:
continue
if coin == 'BTC':
currency["Rate"] = 1.0
rate = 1.0
else:
if coin == 'USDT':
currency["Rate"] = 1.0 / exchange.get_ticker('USDT_BTC', False)['bid']
rate = 1.0 / self._freqtrade.exchange.get_ticker('BTC/USDT', False)['bid']
else:
currency["Rate"] = exchange.get_ticker('BTC_' + coin, False)['bid']
currency['BTC'] = currency["Rate"] * currency["Balance"]
total = total + currency['BTC']
rate = self._freqtrade.exchange.get_ticker(coin + '/BTC', False)['bid']
est_btc: float = rate * balance['total']
total = total + est_btc
output.append(
{
'currency': currency['Currency'],
'available': currency['Available'],
'balance': currency['Balance'],
'pending': currency['Pending'],
'est_btc': currency['BTC']
'currency': coin,
'available': balance['free'],
'balance': balance['total'],
'pending': balance['used'],
'est_btc': est_btc
}
)
fiat = self.freqtrade.fiat_converter
if total == 0.0:
raise RPCException('`All balances are zero.`')
fiat = self._freqtrade.fiat_converter
symbol = fiat_display_currency
value = fiat.convert_amount(total, 'BTC', symbol)
return False, (output, total, symbol, value)
return output, total, symbol, value
def rpc_start(self) -> (bool, str):
"""
Handler for start.
"""
if self.freqtrade.state == State.RUNNING:
return True, '*Status:* `already running`'
def _rpc_start(self) -> str:
""" Handler for start """
if self._freqtrade.state == State.RUNNING:
return '*Status:* `already running`'
self.freqtrade.state = State.RUNNING
return False, '`Starting trader ...`'
self._freqtrade.state = State.RUNNING
return '`Starting trader ...`'
def rpc_stop(self) -> (bool, str):
"""
Handler for stop.
"""
if self.freqtrade.state == State.RUNNING:
self.freqtrade.state = State.STOPPED
return False, '`Stopping trader ...`'
def _rpc_stop(self) -> str:
""" Handler for stop """
if self._freqtrade.state == State.RUNNING:
self._freqtrade.state = State.STOPPED
return '`Stopping trader ...`'
return True, '*Status:* `already stopped`'
return '*Status:* `already stopped`'
def _rpc_reload_conf(self) -> str:
""" Handler for reload_conf. """
self._freqtrade.state = State.RELOAD_CONF
return '*Status:* `Reloading config ...`'
# FIX: no test for this!!!!
def rpc_forcesell(self, trade_id) -> Tuple[bool, Any]:
def _rpc_forcesell(self, trade_id) -> None:
"""
Handler for forcesell <id>.
Sells the given trade at current price
:return: error or None
"""
def _exec_forcesell(trade: Trade) -> None:
# Check if there is there is an open order
if trade.open_order_id:
order = exchange.get_order(trade.open_order_id)
order = self._freqtrade.exchange.get_order(trade.open_order_id, trade.pair)
# Cancel open LIMIT_BUY orders and close trade
if order and not order['closed'] and order['type'] == 'LIMIT_BUY':
exchange.cancel_order(trade.open_order_id)
trade.close(order.get('rate') or trade.open_rate)
# TODO: sell amount which has been bought already
return
if order and order['status'] == 'open' \
and order['type'] == 'limit' \
and order['side'] == 'buy':
self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
trade.close(order.get('price') or trade.open_rate)
# Do the best effort, if we don't know 'filled' amount, don't try selling
if order['filled'] is None:
return
trade.amount = order['filled']
# Ignore trades with an attached LIMIT_SELL order
if order and not order['closed'] and order['type'] == 'LIMIT_SELL':
if order and order['status'] == 'open' \
and order['type'] == 'limit' \
and order['side'] == 'sell':
return
# Get current rate and execute sell
current_rate = exchange.get_ticker(trade.pair, False)['bid']
self.freqtrade.execute_sell(trade, current_rate)
current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
self._freqtrade.execute_sell(trade, current_rate)
# ---- EOF def _exec_forcesell ----
if self.freqtrade.state != State.RUNNING:
return True, '`trader is not running`'
if self._freqtrade.state != State.RUNNING:
raise RPCException('`trader is not running`')
if trade_id == 'all':
# Execute sell for all open orders
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
_exec_forcesell(trade)
return False, ''
return
# Query for trade
trade = Trade.query.filter(
@ -345,18 +359,18 @@ class RPC(object):
).first()
if not trade:
logger.warning('forcesell: Invalid argument received')
return True, 'Invalid argument.'
raise RPCException('Invalid argument.')
_exec_forcesell(trade)
return False, ''
Trade.session.flush()
def rpc_performance(self) -> Tuple[bool, Any]:
def _rpc_performance(self) -> List[Dict]:
"""
Handler for performance.
Shows a performance statistic from finished trades
"""
if self.freqtrade.state != State.RUNNING:
return True, '`trader is not running`'
if self._freqtrade.state != State.RUNNING:
raise RPCException('`trader is not running`')
pair_rates = Trade.session.query(Trade.pair,
sql.func.sum(Trade.close_profit).label('profit_sum'),
@ -365,19 +379,14 @@ class RPC(object):
.group_by(Trade.pair) \
.order_by(sql.text('profit_sum DESC')) \
.all()
trades = []
for (pair, rate, count) in pair_rates:
trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
return [
{'pair': pair, 'profit': round(rate * 100, 2), 'count': count}
for pair, rate, count in pair_rates
]
return False, trades
def _rpc_count(self) -> List[Trade]:
""" Returns the number of trades running """
if self._freqtrade.state != State.RUNNING:
raise RPCException('`trader is not running`')
def rpc_count(self) -> Tuple[bool, Any]:
"""
Returns the number of trades running
:return: None
"""
if self.freqtrade.state != State.RUNNING:
return True, '`trader is not running`'
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
return False, trades
return Trade.query.filter(Trade.is_open.is_(True)).all()

50
freqtrade/rpc/rpc_manager.py
View File

@ -2,9 +2,9 @@
This module contains class to manage RPC communications (Telegram, Slack, ...)
"""
import logging
from typing import List
from freqtrade.rpc.telegram import Telegram
from freqtrade.rpc.rpc import RPC
logger = logging.getLogger(__name__)
@ -14,36 +14,23 @@ class RPCManager(object):
Class to manage RPC objects (Telegram, Slack, ...)
"""
def __init__(self, freqtrade) -> None:
"""
Initializes all enabled rpc modules
:param config: config to use
:return: None
"""
self.freqtrade = freqtrade
""" Initializes all enabled rpc modules """
self.registered_modules: List[RPC] = []
self.registered_modules = []
self.telegram = None
self._init()
def _init(self) -> None:
"""
Init RPC modules
:return:
"""
if self.freqtrade.config['telegram'].get('enabled', False):
# Enable telegram
if freqtrade.config['telegram'].get('enabled', False):
logger.info('Enabling rpc.telegram ...')
self.registered_modules.append('telegram')
self.telegram = Telegram(self.freqtrade)
from freqtrade.rpc.telegram import Telegram
self.registered_modules.append(Telegram(freqtrade))
def cleanup(self) -> None:
"""
Stops all enabled rpc modules
:return: None
"""
if 'telegram' in self.registered_modules:
logger.info('Cleaning up rpc.telegram ...')
self.registered_modules.remove('telegram')
self.telegram.cleanup()
""" Stops all enabled rpc modules """
logger.info('Cleaning up rpc modules ...')
while self.registered_modules:
mod = self.registered_modules.pop()
logger.debug('Cleaning up rpc.%s ...', mod.name)
mod.cleanup()
del mod
def send_msg(self, msg: str) -> None:
"""
@ -51,6 +38,7 @@ class RPCManager(object):
:param msg: message
:return: None
"""
logger.info(msg)
if 'telegram' in self.registered_modules:
self.telegram.send_msg(msg)
logger.info('Sending rpc message: %s', msg)
for mod in self.registered_modules:
logger.debug('Forwarding message to rpc.%s', mod.name)
mod.send_msg(msg)

287
freqtrade/rpc/telegram.py
View File

@ -12,22 +12,21 @@ from telegram.error import NetworkError, TelegramError
from telegram.ext import CommandHandler, Updater
from freqtrade.__init__ import __version__
from freqtrade.rpc.rpc import RPC
from freqtrade.rpc.rpc import RPC, RPCException
logger = logging.getLogger(__name__)
logger.debug('Included module rpc.telegram ...')
def authorized_only(command_handler: Callable[[Bot, Update], None]) -> Callable[..., Any]:
def authorized_only(command_handler: Callable[[Any, Bot, Update], None]) -> Callable[..., Any]:
"""
Decorator to check if the message comes from the correct chat_id
:param command_handler: Telegram CommandHandler
:return: decorated function
"""
def wrapper(self, *args, **kwargs):
"""
Decorator logic
"""
""" Decorator logic """
update = kwargs.get('update') or args[1]
# Reject unauthorized messages
@ -54,9 +53,12 @@ def authorized_only(command_handler: Callable[[Bot, Update], None]) -> Callable[
class Telegram(RPC):
"""
Telegram, this class send messages to Telegram
"""
""" This class handles all telegram communication """
@property
def name(self) -> str:
return "telegram"
def __init__(self, freqtrade) -> None:
"""
Init the Telegram call, and init the super class RPC
@ -65,7 +67,7 @@ class Telegram(RPC):
"""
super().__init__(freqtrade)
self._updater = None
self._updater: Updater = None
self._config = freqtrade.config
self._init()
@ -74,12 +76,7 @@ class Telegram(RPC):
Initializes this module with the given config,
registers all known command handlers
and starts polling for message updates
:param config: config to use
:return: None
"""
if not self.is_enabled():
return
self._updater = Updater(token=self._config['telegram']['token'], workers=0)
# Register command handler and start telegram message polling
@ -93,6 +90,7 @@ class Telegram(RPC):
CommandHandler('performance', self._performance),
CommandHandler('daily', self._daily),
CommandHandler('count', self._count),
CommandHandler('reload_conf', self._reload_conf),
CommandHandler('help', self._help),
CommandHandler('version', self._version),
]
@ -114,16 +112,11 @@ class Telegram(RPC):
Stops all running telegram threads.
:return: None
"""
if not self.is_enabled():
return
self._updater.stop()
def is_enabled(self) -> bool:
"""
Returns True if the telegram module is activated, False otherwise
"""
return bool(self._config.get('telegram', {}).get('enabled', False))
def send_msg(self, msg: str) -> None:
""" Send a message to telegram channel """
self._send_msg(msg)
@authorized_only
def _status(self, bot: Bot, update: Update) -> None:
@ -142,13 +135,11 @@ class Telegram(RPC):
self._status_table(bot, update)
return
# Fetch open trade
(error, trades) = self.rpc_trade_status()
if error:
self.send_msg(trades, bot=bot)
else:
for trademsg in trades:
self.send_msg(trademsg, bot=bot)
try:
for trade_msg in self._rpc_trade_status():
self._send_msg(trade_msg, bot=bot)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _status_table(self, bot: Bot, update: Update) -> None:
@ -159,15 +150,12 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
# Fetch open trade
(err, df_statuses) = self.rpc_status_table()
if err:
self.send_msg(df_statuses, bot=bot)
else:
try:
df_statuses = self._rpc_status_table()
message = tabulate(df_statuses, headers='keys', tablefmt='simple')
message = "<pre>{}</pre>".format(message)
self.send_msg(message, parse_mode=ParseMode.HTML)
self._send_msg("<pre>{}</pre>".format(message), parse_mode=ParseMode.HTML)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _daily(self, bot: Bot, update: Update) -> None:
@ -182,14 +170,12 @@ class Telegram(RPC):
timescale = int(update.message.text.replace('/daily', '').strip())
except (TypeError, ValueError):
timescale = 7
(error, stats) = self.rpc_daily_profit(
timescale,
self._config['stake_currency'],
self._config['fiat_display_currency']
)
if error:
self.send_msg(stats, bot=bot)
else:
try:
stats = self._rpc_daily_profit(
timescale,
self._config['stake_currency'],
self._config['fiat_display_currency']
)
stats = tabulate(stats,
headers=[
'Day',
@ -198,11 +184,10 @@ class Telegram(RPC):
],
tablefmt='simple')
message = '<b>Daily Profit over the last {} days</b>:\n<pre>{}</pre>'\
.format(
timescale,
stats
)
self.send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
.format(timescale, stats)
self._send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _profit(self, bot: Bot, update: Update) -> None:
@ -213,69 +198,63 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
(error, stats) = self.rpc_trade_statistics(
self._config['stake_currency'],
self._config['fiat_display_currency']
)
if error:
self.send_msg(stats, bot=bot)
return
try:
stats = self._rpc_trade_statistics(
self._config['stake_currency'],
self._config['fiat_display_currency'])
# Message to display
markdown_msg = "*ROI:* Close trades\n" \
"∙ `{profit_closed_coin:.8f} {coin} ({profit_closed_percent:.2f}%)`\n" \
"∙ `{profit_closed_fiat:.3f} {fiat}`\n" \
"*ROI:* All trades\n" \
"∙ `{profit_all_coin:.8f} {coin} ({profit_all_percent:.2f}%)`\n" \
"∙ `{profit_all_fiat:.3f} {fiat}`\n" \
"*Total Trade Count:* `{trade_count}`\n" \
"*First Trade opened:* `{first_trade_date}`\n" \
"*Latest Trade opened:* `{latest_trade_date}`\n" \
"*Avg. Duration:* `{avg_duration}`\n" \
"*Best Performing:* `{best_pair}: {best_rate:.2f}%`"\
.format(
coin=self._config['stake_currency'],
fiat=self._config['fiat_display_currency'],
profit_closed_coin=stats['profit_closed_coin'],
profit_closed_percent=stats['profit_closed_percent'],
profit_closed_fiat=stats['profit_closed_fiat'],
profit_all_coin=stats['profit_all_coin'],
profit_all_percent=stats['profit_all_percent'],
profit_all_fiat=stats['profit_all_fiat'],
trade_count=stats['trade_count'],
first_trade_date=stats['first_trade_date'],
latest_trade_date=stats['latest_trade_date'],
avg_duration=stats['avg_duration'],
best_pair=stats['best_pair'],
best_rate=stats['best_rate']
)
self.send_msg(markdown_msg, bot=bot)
# Message to display
markdown_msg = "*ROI:* Close trades\n" \
"∙ `{profit_closed_coin:.8f} {coin} ({profit_closed_percent:.2f}%)`\n" \
"∙ `{profit_closed_fiat:.3f} {fiat}`\n" \
"*ROI:* All trades\n" \
"∙ `{profit_all_coin:.8f} {coin} ({profit_all_percent:.2f}%)`\n" \
"∙ `{profit_all_fiat:.3f} {fiat}`\n" \
"*Total Trade Count:* `{trade_count}`\n" \
"*First Trade opened:* `{first_trade_date}`\n" \
"*Latest Trade opened:* `{latest_trade_date}`\n" \
"*Avg. Duration:* `{avg_duration}`\n" \
"*Best Performing:* `{best_pair}: {best_rate:.2f}%`"\
.format(
coin=self._config['stake_currency'],
fiat=self._config['fiat_display_currency'],
profit_closed_coin=stats['profit_closed_coin'],
profit_closed_percent=stats['profit_closed_percent'],
profit_closed_fiat=stats['profit_closed_fiat'],
profit_all_coin=stats['profit_all_coin'],
profit_all_percent=stats['profit_all_percent'],
profit_all_fiat=stats['profit_all_fiat'],
trade_count=stats['trade_count'],
first_trade_date=stats['first_trade_date'],
latest_trade_date=stats['latest_trade_date'],
avg_duration=stats['avg_duration'],
best_pair=stats['best_pair'],
best_rate=stats['best_rate']
)
self._send_msg(markdown_msg, bot=bot)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _balance(self, bot: Bot, update: Update) -> None:
"""
Handler for /balance
"""
(error, result) = self.rpc_balance(self._config['fiat_display_currency'])
if error:
self.send_msg('`All balances are zero.`')
return
""" Handler for /balance """
try:
currencys, total, symbol, value = \
self._rpc_balance(self._config['fiat_display_currency'])
output = ''
for currency in currencys:
output += "*{currency}:*\n" \
"\t`Available: {available: .8f}`\n" \
"\t`Balance: {balance: .8f}`\n" \
"\t`Pending: {pending: .8f}`\n" \
"\t`Est. BTC: {est_btc: .8f}`\n".format(**currency)
(currencys, total, symbol, value) = result
output = ''
for currency in currencys:
output += """*Currency*: {currency}
*Available*: {available}
*Balance*: {balance}
*Pending*: {pending}
*Est. BTC*: {est_btc: .8f}
""".format(**currency)
output += """*Estimated Value*:
*BTC*: {0: .8f}
*{1}*: {2: .2f}
""".format(total, symbol, value)
self.send_msg(output)
output += "\n*Estimated Value*:\n" \
"\t`BTC: {0: .8f}`\n" \
"\t`{1}: {2: .2f}`\n".format(total, symbol, value)
self._send_msg(output, bot=bot)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _start(self, bot: Bot, update: Update) -> None:
@ -286,9 +265,8 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
(error, msg) = self.rpc_start()
if error:
self.send_msg(msg, bot=bot)
msg = self._rpc_start()
self._send_msg(msg, bot=bot)
@authorized_only
def _stop(self, bot: Bot, update: Update) -> None:
@ -299,8 +277,20 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
(error, msg) = self.rpc_stop()
self.send_msg(msg, bot=bot)
msg = self._rpc_stop()
self._send_msg(msg, bot=bot)
@authorized_only
def _reload_conf(self, bot: Bot, update: Update) -> None:
"""
Handler for /reload_conf.
Triggers a config file reload
:param bot: telegram bot
:param update: message update
:return: None
"""
msg = self._rpc_reload_conf()
self._send_msg(msg, bot=bot)
@authorized_only
def _forcesell(self, bot: Bot, update: Update) -> None:
@ -313,10 +303,10 @@ class Telegram(RPC):
"""
trade_id = update.message.text.replace('/forcesell', '').strip()
(error, message) = self.rpc_forcesell(trade_id)
if error:
self.send_msg(message, bot=bot)
return
try:
self._rpc_forcesell(trade_id)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _performance(self, bot: Bot, update: Update) -> None:
@ -327,19 +317,18 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
(error, trades) = self.rpc_performance()
if error:
self.send_msg(trades, bot=bot)
return
stats = '\n'.join('{index}.\t<code>{pair}\t{profit:.2f}% ({count})</code>'.format(
index=i + 1,
pair=trade['pair'],
profit=trade['profit'],
count=trade['count']
) for i, trade in enumerate(trades))
message = '<b>Performance:</b>\n{}'.format(stats)
self.send_msg(message, parse_mode=ParseMode.HTML)
try:
trades = self._rpc_performance()
stats = '\n'.join('{index}.\t<code>{pair}\t{profit:.2f}% ({count})</code>'.format(
index=i + 1,
pair=trade['pair'],
profit=trade['profit'],
count=trade['count']
) for i, trade in enumerate(trades))
message = '<b>Performance:</b>\n{}'.format(stats)
self._send_msg(message, parse_mode=ParseMode.HTML)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _count(self, bot: Bot, update: Update) -> None:
@ -350,19 +339,18 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
(error, trades) = self.rpc_count()
if error:
self.send_msg(trades, bot=bot)
return
message = tabulate({
'current': [len(trades)],
'max': [self._config['max_open_trades']],
'total stake': [sum((trade.open_rate * trade.amount) for trade in trades)]
}, headers=['current', 'max', 'total stake'], tablefmt='simple')
message = "<pre>{}</pre>".format(message)
logger.debug(message)
self.send_msg(message, parse_mode=ParseMode.HTML)
try:
trades = self._rpc_count()
message = tabulate({
'current': [len(trades)],
'max': [self._config['max_open_trades']],
'total stake': [sum((trade.open_rate * trade.amount) for trade in trades)]
}, headers=['current', 'max', 'total stake'], tablefmt='simple')
message = "<pre>{}</pre>".format(message)
logger.debug(message)
self._send_msg(message, parse_mode=ParseMode.HTML)
except RPCException as e:
self._send_msg(str(e), bot=bot)
@authorized_only
def _help(self, bot: Bot, update: Update) -> None:
@ -388,7 +376,7 @@ class Telegram(RPC):
"*/help:* `This help message`\n" \
"*/version:* `Show version`"
self.send_msg(message, bot=bot)
self._send_msg(message, bot=bot)
@authorized_only
def _version(self, bot: Bot, update: Update) -> None:
@ -399,10 +387,10 @@ class Telegram(RPC):
:param update: message update
:return: None
"""
self.send_msg('*Version:* `{}`'.format(__version__), bot=bot)
self._send_msg('*Version:* `{}`'.format(__version__), bot=bot)
def send_msg(self, msg: str, bot: Bot = None,
parse_mode: ParseMode = ParseMode.MARKDOWN) -> None:
def _send_msg(self, msg: str, bot: Bot = None,
parse_mode: ParseMode = ParseMode.MARKDOWN) -> None:
"""
Send given markdown message
:param msg: message
@ -410,9 +398,6 @@ class Telegram(RPC):
:param parse_mode: telegram parse mode
:return: None
"""
if not self.is_enabled():
return
bot = bot or self._updater.bot
keyboard = [['/daily', '/profit', '/balance'],

3
freqtrade/state.py
View File

@ -8,7 +8,8 @@ import enum
class State(enum.Enum):
"""
Bot running states
Bot application states
"""
RUNNING = 0
STOPPED = 1
RELOAD_CONF = 2

32
freqtrade/strategy/__init__.py
View File

@ -0,0 +1,32 @@
import logging
from copy import deepcopy
from freqtrade.strategy.interface import IStrategy
logger = logging.getLogger(__name__)
def import_strategy(strategy: IStrategy) -> IStrategy:
"""
Imports given Strategy instance to global scope
of freqtrade.strategy and returns an instance of it
"""
# Copy all attributes from base class and class
attr = deepcopy({**strategy.__class__.__dict__, **strategy.__dict__})
# Adjust module name
attr['__module__'] = 'freqtrade.strategy'
name = strategy.__class__.__name__
clazz = type(name, (IStrategy,), attr)
logger.debug(
'Imported strategy %s.%s as %s.%s',
strategy.__module__, strategy.__class__.__name__,
clazz.__module__, strategy.__class__.__name__,
)
# Modify global scope to declare class
globals()[name] = clazz
return clazz()

2
freqtrade/strategy/default_strategy.py
View File

@ -26,7 +26,7 @@ class DefaultStrategy(IStrategy):
stoploss = -0.10
# Optimal ticker interval for the strategy
ticker_interval = 5
ticker_interval = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
"""

8
freqtrade/strategy/interface.py
View File

@ -2,7 +2,7 @@
IStrategy interface
This module defines the interface to apply for strategies
"""
from typing import Dict
from abc import ABC, abstractmethod
from pandas import DataFrame
@ -16,9 +16,13 @@ class IStrategy(ABC):
Attributes you can use:
minimal_roi -> Dict: Minimal ROI designed for the strategy
stoploss -> float: optimal stoploss designed for the strategy
ticker_interval -> int: value of the ticker interval to use for the strategy
ticker_interval -> str: value of the ticker interval to use for the strategy
"""
minimal_roi: Dict
stoploss: float
ticker_interval: str
@abstractmethod
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
"""

24
freqtrade/strategy/resolver.py
View File

@ -11,6 +11,7 @@ from collections import OrderedDict
from typing import Optional, Dict, Type
from freqtrade import constants
from freqtrade.strategy import import_strategy
from freqtrade.strategy.interface import IStrategy
@ -33,7 +34,8 @@ class StrategyResolver(object):
# Verify the strategy is in the configuration, otherwise fallback to the default strategy
strategy_name = config.get('strategy') or constants.DEFAULT_STRATEGY
self.strategy = self._load_strategy(strategy_name, extra_dir=config.get('strategy_path'))
self.strategy: IStrategy = self._load_strategy(strategy_name,
extra_dir=config.get('strategy_path'))
# Set attributes
# Check if we need to override configuration
@ -59,10 +61,9 @@ class StrategyResolver(object):
{int(key): value for (key, value) in self.strategy.minimal_roi.items()}.items(),
key=lambda t: t[0]))
self.strategy.stoploss = float(self.strategy.stoploss)
self.strategy.ticker_interval = int(self.strategy.ticker_interval)
def _load_strategy(
self, strategy_name: str, extra_dir: Optional[str] = None) -> Optional[IStrategy]:
self, strategy_name: str, extra_dir: Optional[str] = None) -> IStrategy:
"""
Search and loads the specified strategy.
:param strategy_name: name of the module to import
@ -71,7 +72,7 @@ class StrategyResolver(object):
"""
current_path = os.path.dirname(os.path.realpath(__file__))
abs_paths = [
os.path.join(current_path, '..', '..', 'user_data', 'strategies'),
os.path.join(os.getcwd(), 'user_data', 'strategies'),
current_path,
]
@ -80,10 +81,13 @@ class StrategyResolver(object):
abs_paths.insert(0, extra_dir)
for path in abs_paths:
strategy = self._search_strategy(path, strategy_name)
if strategy:
logger.info('Using resolved strategy %s from \'%s\'', strategy_name, path)
return strategy
try:
strategy = self._search_strategy(path, strategy_name)
if strategy:
logger.info('Using resolved strategy %s from \'%s\'', strategy_name, path)
return import_strategy(strategy)
except FileNotFoundError:
logger.warning('Path "%s" does not exist', path)
raise ImportError(
"Impossible to load Strategy '{}'. This class does not exist"
@ -100,9 +104,9 @@ class StrategyResolver(object):
"""
# Generate spec based on absolute path
spec = importlib.util.spec_from_file_location('user_data.strategies', module_path)
spec = importlib.util.spec_from_file_location('unknown', module_path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
spec.loader.exec_module(module) # type: ignore # importlib does not use typehints
valid_strategies_gen = (
obj for name, obj in inspect.getmembers(module, inspect.isclass)

758
freqtrade/tests/conftest.py
View File

@ -2,17 +2,18 @@
import json
import logging
from datetime import datetime
from typing import Dict, Optional
from functools import reduce
from unittest.mock import MagicMock
import arrow
import pytest
from jsonschema import validate
from sqlalchemy import create_engine
from telegram import Chat, Message, Update
from freqtrade.analyze import Analyze
from freqtrade import constants
from freqtrade.exchange import Exchange
from freqtrade.freqtradebot import FreqtradeBot
logging.getLogger('').setLevel(logging.INFO)
@ -26,6 +27,20 @@ def log_has(line, logs):
False)
def patch_exchange(mocker, api_mock=None) -> None:
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
if api_mock:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
else:
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())
def get_patched_exchange(mocker, config, api_mock=None) -> Exchange:
patch_exchange(mocker, api_mock)
exchange = Exchange(config)
return exchange
# Functions for recurrent object patching
def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
"""
@ -34,16 +49,38 @@ def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
:param config: Config to pass to the bot
:return: None
"""
mocker.patch('freqtrade.fiat_convert.Market', {'price_usd': 12345.0})
# mocker.patch('freqtrade.fiat_convert.Market', {'price_usd': 12345.0})
patch_coinmarketcap(mocker, {'price_usd': 12345.0})
mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock())
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
patch_exchange(mocker, None)
mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
mocker.patch('freqtrade.freqtradebot.Analyze.get_signal', MagicMock())
return FreqtradeBot(config, create_engine('sqlite://'))
return FreqtradeBot(config)
def patch_coinmarketcap(mocker, value: Optional[Dict[str, float]] = None) -> None:
"""
Mocker to coinmarketcap to speed up tests
:param mocker: mocker to patch coinmarketcap class
:return: None
"""
tickermock = MagicMock(return_value={'price_usd': 12345.0})
listmock = MagicMock(return_value={'data': [{'id': 1, 'name': 'Bitcoin', 'symbol': 'BTC',
'website_slug': 'bitcoin'},
{'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH',
'website_slug': 'ethereum'}
]})
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
ticker=tickermock,
listings=listmock,
)
@pytest.fixture(scope="function")
@ -54,7 +91,7 @@ def default_conf():
"stake_currency": "BTC",
"stake_amount": 0.001,
"fiat_display_currency": "USD",
"ticker_interval": 5,
"ticker_interval": '5m',
"dry_run": True,
"minimal_roi": {
"40": 0.0,
@ -73,11 +110,10 @@ def default_conf():
"key": "key",
"secret": "secret",
"pair_whitelist": [
"BTC_ETH",
"BTC_TKN",
"BTC_TRST",
"BTC_SWT",
"BTC_BCC"
"ETH/BTC",
"LTC/BTC",
"XRP/BTC",
"NEO/BTC"
]
},
"telegram": {
@ -86,7 +122,8 @@ def default_conf():
"chat_id": "0"
},
"initial_state": "running",
"loglevel": logging.DEBUG
"db_url": "sqlite://",
"loglevel": logging.DEBUG,
}
validate(configuration, constants.CONF_SCHEMA)
return configuration
@ -99,6 +136,11 @@ def update():
return _update
@pytest.fixture
def fee():
return MagicMock(return_value=0.0025)
@pytest.fixture
def ticker():
return MagicMock(return_value={
@ -127,46 +169,178 @@ def ticker_sell_down():
@pytest.fixture
def health():
return MagicMock(return_value=[{
'Currency': 'BTC',
'IsActive': True,
'LastChecked': '2017-11-13T20:15:00.00',
'Notice': None
}, {
'Currency': 'ETH',
'IsActive': True,
'LastChecked': '2017-11-13T20:15:00.00',
'Notice': None
}, {
'Currency': 'TRST',
'IsActive': True,
'LastChecked': '2017-11-13T20:15:00.00',
'Notice': None
}, {
'Currency': 'SWT',
'IsActive': True,
'LastChecked': '2017-11-13T20:15:00.00',
'Notice': None
}, {
'Currency': 'BCC',
'IsActive': False,
'LastChecked': '2017-11-13T20:15:00.00',
'Notice': None
}])
def markets():
return MagicMock(return_value=[
{
'id': 'ethbtc',
'symbol': 'ETH/BTC',
'base': 'ETH',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
},
{
'id': 'tknbtc',
'symbol': 'TKN/BTC',
'base': 'TKN',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
},
{
'id': 'blkbtc',
'symbol': 'BLK/BTC',
'base': 'BLK',
'quote': 'BTC',
'active': True,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
},
{
'id': 'ltcbtc',
'symbol': 'LTC/BTC',
'base': 'LTC',
'quote': 'BTC',
'active': False,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
},
{
'id': 'xrpbtc',
'symbol': 'XRP/BTC',
'base': 'XRP',
'quote': 'BTC',
'active': False,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
},
{
'id': 'neobtc',
'symbol': 'NEO/BTC',
'base': 'NEO',
'quote': 'BTC',
'active': False,
'precision': {
'price': 8,
'amount': 8,
'cost': 8,
},
'lot': 0.00000001,
'limits': {
'amount': {
'min': 0.01,
'max': 1000,
},
'price': 500000,
'cost': {
'min': 1,
'max': 500000,
},
},
'info': '',
}
])
@pytest.fixture
def markets_empty():
return MagicMock(return_value=[])
@pytest.fixture(scope='function')
def limit_buy_order():
return {
'id': 'mocked_limit_buy',
'type': 'LIMIT_BUY',
'type': 'limit',
'side': 'buy',
'pair': 'mocked',
'opened': str(arrow.utcnow().datetime),
'rate': 0.00001099,
'datetime': arrow.utcnow().isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'remaining': 0.0,
'closed': str(arrow.utcnow().datetime),
'status': 'closed'
}
@ -174,12 +348,14 @@ def limit_buy_order():
def limit_buy_order_old():
return {
'id': 'mocked_limit_buy_old',
'type': 'LIMIT_BUY',
'pair': 'BTC_ETH',
'opened': str(arrow.utcnow().shift(minutes=-601).datetime),
'rate': 0.00001099,
'type': 'limit',
'side': 'buy',
'pair': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.00001099,
'amount': 90.99181073,
'remaining': 90.99181073,
'status': 'open'
}
@ -187,12 +363,14 @@ def limit_buy_order_old():
def limit_sell_order_old():
return {
'id': 'mocked_limit_sell_old',
'type': 'LIMIT_SELL',
'pair': 'BTC_ETH',
'opened': str(arrow.utcnow().shift(minutes=-601).datetime),
'rate': 0.00001099,
'type': 'limit',
'side': 'sell',
'pair': 'ETH/BTC',
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'remaining': 90.99181073,
'status': 'open'
}
@ -200,12 +378,14 @@ def limit_sell_order_old():
def limit_buy_order_old_partial():
return {
'id': 'mocked_limit_buy_old_partial',
'type': 'LIMIT_BUY',
'pair': 'BTC_ETH',
'opened': str(arrow.utcnow().shift(minutes=-601).datetime),
'rate': 0.00001099,
'type': 'limit',
'side': 'buy',
'pair': 'ETH/BTC',
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'price': 0.00001099,
'amount': 90.99181073,
'remaining': 67.99181073,
'status': 'open'
}
@ -213,86 +393,228 @@ def limit_buy_order_old_partial():
def limit_sell_order():
return {
'id': 'mocked_limit_sell',
'type': 'LIMIT_SELL',
'type': 'limit',
'side': 'sell',
'pair': 'mocked',
'opened': str(arrow.utcnow().datetime),
'rate': 0.00001173,
'datetime': arrow.utcnow().isoformat(),
'price': 0.00001173,
'amount': 90.99181073,
'remaining': 0.0,
'closed': str(arrow.utcnow().datetime),
'status': 'closed'
}
@pytest.fixture
def ticker_history():
return [
{
"O": 8.794e-05,
"H": 8.948e-05,
"L": 8.794e-05,
"C": 8.88e-05,
"V": 991.09056638,
"T": "2017-11-26T08:50:00",
"BV": 0.0877869
},
{
"O": 8.88e-05,
"H": 8.942e-05,
"L": 8.88e-05,
"C": 8.893e-05,
"V": 658.77935965,
"T": "2017-11-26T08:55:00",
"BV": 0.05874751
},
{
"O": 8.891e-05,
"H": 8.893e-05,
"L": 8.875e-05,
"C": 8.877e-05,
"V": 7920.73570705,
"T": "2017-11-26T09:00:00",
"BV": 0.7039405
}
[
1511686200000, # unix timestamp ms
8.794e-05, # open
8.948e-05, # high
8.794e-05, # low
8.88e-05, # close
0.0877869, # volume (in quote currency)
],
[
1511686500000,
8.88e-05,
8.942e-05,
8.88e-05,
8.893e-05,
0.05874751,
],
[
1511686800000,
8.891e-05,
8.893e-05,
8.875e-05,
8.877e-05,
0.7039405
]
]
@pytest.fixture
def ticker_history_without_bv():
return [
{
"O": 8.794e-05,
"H": 8.948e-05,
"L": 8.794e-05,
"C": 8.88e-05,
"V": 991.09056638,
"T": "2017-11-26T08:50:00"
def tickers():
return MagicMock(return_value={
'ETH/BTC': {
'symbol': 'ETH/BTC',
'timestamp': 1522014806207,
'datetime': '2018-03-25T21:53:26.207Z',
'high': 0.061697,
'low': 0.060531,
'bid': 0.061588,
'bidVolume': 3.321,
'ask': 0.061655,
'askVolume': 0.212,
'vwap': 0.06105296,
'open': 0.060809,
'close': 0.060761,
'first': None,
'last': 0.061588,
'change': 1.281,
'percentage': None,
'average': None,
'baseVolume': 111649.001,
'quoteVolume': 6816.50176926,
'info': {}
},
{
"O": 8.88e-05,
"H": 8.942e-05,
"L": 8.88e-05,
"C": 8.893e-05,
"V": 658.77935965,
"T": "2017-11-26T08:55:00"
'TKN/BTC': {
'symbol': 'TKN/BTC',
'timestamp': 1522014806169,
'datetime': '2018-03-25T21:53:26.169Z',
'high': 0.01885,
'low': 0.018497,
'bid': 0.018799,
'bidVolume': 8.38,
'ask': 0.018802,
'askVolume': 15.0,
'vwap': 0.01869197,
'open': 0.018585,
'close': 0.018573,
'baseVolume': 81058.66,
'quoteVolume': 2247.48374509,
},
{
"O": 8.891e-05,
"H": 8.893e-05,
"L": 8.875e-05,
"C": 8.877e-05,
"V": 7920.73570705,
"T": "2017-11-26T09:00:00"
'BLK/BTC': {
'symbol': 'BLK/BTC',
'timestamp': 1522014806072,
'datetime': '2018-03-25T21:53:26.720Z',
'high': 0.007745,
'low': 0.007512,
'bid': 0.007729,
'bidVolume': 0.01,
'ask': 0.007743,
'askVolume': 21.37,
'vwap': 0.00761466,
'open': 0.007653,
'close': 0.007652,
'first': None,
'last': 0.007743,
'change': 1.176,
'percentage': None,
'average': None,
'baseVolume': 295152.26,
'quoteVolume': 1515.14631229,
'info': {}
},
'LTC/BTC': {
'symbol': 'LTC/BTC',
'timestamp': 1523787258992,
'datetime': '2018-04-15T10:14:19.992Z',
'high': 0.015978,
'low': 0.0157,
'bid': 0.015954,
'bidVolume': 12.83,
'ask': 0.015957,
'askVolume': 0.49,
'vwap': 0.01581636,
'open': 0.015823,
'close': 0.01582,
'first': None,
'last': 0.015951,
'change': 0.809,
'percentage': None,
'average': None,
'baseVolume': 88620.68,
'quoteVolume': 1401.65697943,
'info': {}
},
'ETH/USDT': {
'symbol': 'ETH/USDT',
'timestamp': 1522014804118,
'datetime': '2018-03-25T21:53:24.118Z',
'high': 530.88,
'low': 512.0,
'bid': 529.73,
'bidVolume': 0.2,
'ask': 530.21,
'askVolume': 0.2464,
'vwap': 521.02438405,
'open': 527.27,
'close': 528.42,
'first': None,
'last': 530.21,
'change': 0.558,
'percentage': None,
'average': None,
'baseVolume': 72300.0659,
'quoteVolume': 37670097.3022171,
'info': {}
},
'TKN/USDT': {
'symbol': 'TKN/USDT',
'timestamp': 1522014806198,
'datetime': '2018-03-25T21:53:26.198Z',
'high': 8718.0,
'low': 8365.77,
'bid': 8603.64,
'bidVolume': 0.15846,
'ask': 8603.67,
'askVolume': 0.069147,
'vwap': 8536.35621697,
'open': 8680.0,
'close': 8680.0,
'first': None,
'last': 8603.67,
'change': -0.879,
'percentage': None,
'average': None,
'baseVolume': 30414.604298,
'quoteVolume': 259629896.48584127,
'info': {}
},
'BLK/USDT': {
'symbol': 'BLK/USDT',
'timestamp': 1522014806145,
'datetime': '2018-03-25T21:53:26.145Z',
'high': 66.95,
'low': 63.38,
'bid': 66.473,
'bidVolume': 4.968,
'ask': 66.54,
'askVolume': 2.704,
'vwap': 65.0526901,
'open': 66.43,
'close': 66.383,
'first': None,
'last': 66.5,
'change': 0.105,
'percentage': None,
'average': None,
'baseVolume': 294106.204,
'quoteVolume': 19132399.743954,
'info': {}
},
'LTC/USDT': {
'symbol': 'LTC/USDT',
'timestamp': 1523787257812,
'datetime': '2018-04-15T10:14:18.812Z',
'high': 129.94,
'low': 124.0,
'bid': 129.28,
'bidVolume': 0.03201,
'ask': 129.52,
'askVolume': 0.14529,
'vwap': 126.92838682,
'open': 127.0,
'close': 127.1,
'first': None,
'last': 129.28,
'change': 1.795,
'percentage': None,
'average': None,
'baseVolume': 59698.79897,
'quoteVolume': 29132399.743954,
'info': {}
}
]
})
# FIX: Perhaps change result fixture to use BTC_UNITEST instead?
@pytest.fixture
def result():
with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
with open('freqtrade/tests/testdata/UNITTEST_BTC-1m.json') as data_file:
return Analyze.parse_ticker_dataframe(json.load(data_file))
# FIX:
# Create an fixture/function
# that inserts a trade of some type and open-status
@ -300,132 +622,88 @@ def result():
# See tests in rpc/main that could use this
@pytest.fixture(scope="function")
def trades_for_order():
return [{'info': {'id': 34567,
'orderId': 123456,
'price': '0.24544100',
'qty': '8.00000000',
'commission': '0.00800000',
'commissionAsset': 'LTC',
'time': 1521663363189,
'isBuyer': True,
'isMaker': False,
'isBestMatch': True},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/ETH',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 0.245441,
'cost': 1.963528,
'amount': 8.0,
'fee': {'cost': 0.008, 'currency': 'LTC'}}]
@pytest.fixture(scope="function")
def trades_for_order2():
return [{'info': {'id': 34567,
'orderId': 123456,
'price': '0.24544100',
'qty': '8.00000000',
'commission': '0.00800000',
'commissionAsset': 'LTC',
'time': 1521663363189,
'isBuyer': True,
'isMaker': False,
'isBestMatch': True},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/ETH',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 0.245441,
'cost': 1.963528,
'amount': 4.0,
'fee': {'cost': 0.004, 'currency': 'LTC'}},
{'info': {'id': 34567,
'orderId': 123456,
'price': '0.24544100',
'qty': '8.00000000',
'commission': '0.00800000',
'commissionAsset': 'LTC',
'time': 1521663363189,
'isBuyer': True,
'isMaker': False,
'isBestMatch': True},
'timestamp': 1521663363189,
'datetime': '2018-03-21T20:16:03.189Z',
'symbol': 'LTC/ETH',
'id': '34567',
'order': '123456',
'type': None,
'side': 'buy',
'price': 0.245441,
'cost': 1.963528,
'amount': 4.0,
'fee': {'cost': 0.004, 'currency': 'LTC'}}]
@pytest.fixture
def get_market_summaries_data():
"""
This fixture is a real result from exchange.get_market_summaries() but reduced to only
8 entries. 4 BTC, 4 USTD
:return: JSON market summaries
"""
return [
{
'Ask': 1.316e-05,
'BaseVolume': 5.72599471,
'Bid': 1.3e-05,
'Created': '2014-04-14T00:00:00',
'High': 1.414e-05,
'Last': 1.298e-05,
'Low': 1.282e-05,
'MarketName': 'BTC-XWC',
'OpenBuyOrders': 2000,
'OpenSellOrders': 1484,
'PrevDay': 1.376e-05,
'TimeStamp': '2018-02-05T01:32:40.493',
'Volume': 424041.21418375
},
{
'Ask': 0.00627051,
'BaseVolume': 93.23302388,
'Bid': 0.00618192,
'Created': '2016-10-20T04:48:30.387',
'High': 0.00669897,
'Last': 0.00618192,
'Low': 0.006,
'MarketName': 'BTC-XZC',
'OpenBuyOrders': 343,
'OpenSellOrders': 2037,
'PrevDay': 0.00668229,
'TimeStamp': '2018-02-05T01:32:43.383',
'Volume': 14863.60730702
},
{
'Ask': 0.01137247,
'BaseVolume': 383.55922657,
'Bid': 0.01136006,
'Created': '2016-11-15T20:29:59.73',
'High': 0.012,
'Last': 0.01137247,
'Low': 0.01119883,
'MarketName': 'BTC-ZCL',
'OpenBuyOrders': 1332,
'OpenSellOrders': 5317,
'PrevDay': 0.01179603,
'TimeStamp': '2018-02-05T01:32:42.773',
'Volume': 33308.07358285
},
{
'Ask': 0.04155821,
'BaseVolume': 274.75369074,
'Bid': 0.04130002,
'Created': '2016-10-28T17:13:10.833',
'High': 0.04354429,
'Last': 0.041585,
'Low': 0.0413,
'MarketName': 'BTC-ZEC',
'OpenBuyOrders': 863,
'OpenSellOrders': 5579,
'PrevDay': 0.0429,
'TimeStamp': '2018-02-05T01:32:43.21',
'Volume': 6479.84033259
},
{
'Ask': 210.99999999,
'BaseVolume': 615132.70989532,
'Bid': 210.05503736,
'Created': '2017-07-21T01:08:49.397',
'High': 257.396,
'Last': 211.0,
'Low': 209.05333589,
'MarketName': 'USDT-XMR',
'OpenBuyOrders': 180,
'OpenSellOrders': 1203,
'PrevDay': 247.93528899,
'TimeStamp': '2018-02-05T01:32:43.117',
'Volume': 2688.17410793
},
{
'Ask': 0.79589979,
'BaseVolume': 9349557.01853031,
'Bid': 0.789226,
'Created': '2017-07-14T17:10:10.737',
'High': 0.977,
'Last': 0.79589979,
'Low': 0.781,
'MarketName': 'USDT-XRP',
'OpenBuyOrders': 1075,
'OpenSellOrders': 6508,
'PrevDay': 0.93300218,
'TimeStamp': '2018-02-05T01:32:42.383',
'Volume': 10801663.00788851
},
{
'Ask': 0.05154982,
'BaseVolume': 2311087.71232136,
'Bid': 0.05040107,
'Created': '2017-12-29T19:29:18.357',
'High': 0.06668561,
'Last': 0.0508,
'Low': 0.05006731,
'MarketName': 'USDT-XVG',
'OpenBuyOrders': 655,
'OpenSellOrders': 5544,
'PrevDay': 0.0627,
'TimeStamp': '2018-02-05T01:32:41.507',
'Volume': 40031424.2152716
},
{
'Ask': 332.65500022,
'BaseVolume': 562911.87455665,
'Bid': 330.00000001,
'Created': '2017-07-14T17:10:10.673',
'High': 401.59999999,
'Last': 332.65500019,
'Low': 330.0,
'MarketName': 'USDT-ZEC',
'OpenBuyOrders': 161,
'OpenSellOrders': 1731,
'PrevDay': 391.42,
'TimeStamp': '2018-02-05T01:32:42.947',
'Volume': 1571.09647946
}
]
def buy_order_fee():
return {
'id': 'mocked_limit_buy_old',
'type': 'limit',
'side': 'buy',
'pair': 'mocked',
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.245441,
'amount': 8.0,
'remaining': 90.99181073,
'status': 'closed',
'fee': None
}

741
freqtrade/tests/exchange/test_exchange.py
View File

@ -1,33 +1,22 @@
# pragma pylint: disable=missing-docstring, C0103, bad-continuation, global-statement
# pragma pylint: disable=protected-access
import logging
from copy import deepcopy
from random import randint
from unittest.mock import MagicMock
from datetime import datetime
from unittest.mock import MagicMock, PropertyMock
import ccxt
import pytest
from requests.exceptions import RequestException
import freqtrade.exchange as exchange
from freqtrade import OperationalException
from freqtrade.exchange import init, validate_pairs, buy, sell, get_balance, get_balances, \
get_ticker, get_ticker_history, cancel_order, get_name, get_fee
from freqtrade.tests.conftest import log_has
API_INIT = False
def maybe_init_api(conf, mocker, force=False):
global API_INIT
if force or not API_INIT:
mocker.patch('freqtrade.exchange.validate_pairs',
side_effect=lambda s: True)
init(config=conf)
API_INIT = True
from freqtrade import OperationalException, DependencyException, TemporaryError
from freqtrade.exchange import Exchange, API_RETRY_COUNT
from freqtrade.tests.conftest import log_has, get_patched_exchange
def test_init(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
maybe_init_api(default_conf, mocker, True)
get_patched_exchange(mocker, default_conf)
assert log_has('Instance is running with dry_run enabled', caplog.record_tuples)
@ -37,250 +26,706 @@ def test_init_exception(default_conf):
with pytest.raises(
OperationalException,
match='Exchange {} is not supported'.format(default_conf['exchange']['name'])):
init(config=default_conf)
Exchange(default_conf)
def test_validate_pairs(default_conf, mocker):
api_mock = MagicMock()
api_mock.get_markets = MagicMock(return_value=[
'BTC_ETH', 'BTC_TKN', 'BTC_TRST', 'BTC_SWT', 'BTC_BCC',
])
mocker.patch('freqtrade.exchange._API', api_mock)
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
validate_pairs(default_conf['exchange']['pair_whitelist'])
api_mock.load_markets = MagicMock(return_value={
'ETH/BTC': '', 'LTC/BTC': '', 'XRP/BTC': '', 'NEO/BTC': ''
})
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
Exchange(default_conf)
def test_validate_pairs_not_available(default_conf, mocker):
api_mock = MagicMock()
api_mock.get_markets = MagicMock(return_value=[])
mocker.patch('freqtrade.exchange._API', api_mock)
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
api_mock.load_markets = MagicMock(return_value={})
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
with pytest.raises(OperationalException, match=r'not available'):
validate_pairs(default_conf['exchange']['pair_whitelist'])
Exchange(default_conf)
def test_validate_pairs_not_compatible(default_conf, mocker):
api_mock = MagicMock()
api_mock.get_markets = MagicMock(
return_value=['BTC_ETH', 'BTC_TKN', 'BTC_TRST', 'BTC_SWT'])
default_conf['stake_currency'] = 'ETH'
mocker.patch('freqtrade.exchange._API', api_mock)
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
api_mock.load_markets = MagicMock(return_value={
'ETH/BTC': '', 'TKN/BTC': '', 'TRST/BTC': '', 'SWT/BTC': '', 'BCC/BTC': ''
})
conf = deepcopy(default_conf)
conf['stake_currency'] = 'ETH'
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
with pytest.raises(OperationalException, match=r'not compatible'):
validate_pairs(default_conf['exchange']['pair_whitelist'])
Exchange(conf)
def test_validate_pairs_exception(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
api_mock = MagicMock()
api_mock.get_markets = MagicMock(side_effect=RequestException())
mocker.patch('freqtrade.exchange._API', api_mock)
mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value='Binance'))
# with pytest.raises(RequestException, match=r'Unable to validate pairs'):
validate_pairs(default_conf['exchange']['pair_whitelist'])
api_mock.load_markets = MagicMock(return_value={})
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', api_mock)
with pytest.raises(OperationalException, match=r'Pair ETH/BTC is not available at Binance'):
Exchange(default_conf)
api_mock.load_markets = MagicMock(side_effect=ccxt.BaseError())
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
Exchange(default_conf)
assert log_has('Unable to validate pairs (assuming they are correct). Reason: ',
caplog.record_tuples)
def test_validate_pairs_stake_exception(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
conf = deepcopy(default_conf)
conf['stake_currency'] = 'ETH'
api_mock = MagicMock()
api_mock.name = MagicMock(return_value='binance')
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', api_mock)
with pytest.raises(
OperationalException,
match=r'Pair ETH/BTC not compatible with stake_currency: ETH'
):
Exchange(conf)
def test_buy_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
exchange = get_patched_exchange(mocker, default_conf)
assert 'dry_run_buy_' in buy(pair='BTC_ETH', rate=200, amount=1)
order = exchange.buy(pair='ETH/BTC', rate=200, amount=1)
assert 'id' in order
assert 'dry_run_buy_' in order['id']
def test_buy_prod(default_conf, mocker):
api_mock = MagicMock()
api_mock.buy = MagicMock(
return_value='dry_run_buy_{}'.format(randint(0, 10**6)))
mocker.patch('freqtrade.exchange._API', api_mock)
order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
api_mock.create_limit_buy_order = MagicMock(return_value={
'id': order_id,
'info': {
'foo': 'bar'
}
})
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert 'dry_run_buy_' in buy(pair='BTC_ETH', rate=200, amount=1)
order = exchange.buy(pair='ETH/BTC', rate=200, amount=1)
assert 'id' in order
assert 'info' in order
assert order['id'] == order_id
# test exception handling
with pytest.raises(DependencyException):
api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.InsufficientFunds)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.buy(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(DependencyException):
api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.buy(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(TemporaryError):
api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.buy(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(OperationalException):
api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.buy(pair='ETH/BTC', rate=200, amount=1)
def test_sell_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
exchange = get_patched_exchange(mocker, default_conf)
assert 'dry_run_sell_' in sell(pair='BTC_ETH', rate=200, amount=1)
order = exchange.sell(pair='ETH/BTC', rate=200, amount=1)
assert 'id' in order
assert 'dry_run_sell_' in order['id']
def test_sell_prod(default_conf, mocker):
api_mock = MagicMock()
api_mock.sell = MagicMock(
return_value='dry_run_sell_{}'.format(randint(0, 10**6)))
mocker.patch('freqtrade.exchange._API', api_mock)
order_id = 'test_prod_sell_{}'.format(randint(0, 10 ** 6))
api_mock.create_limit_sell_order = MagicMock(return_value={
'id': order_id,
'info': {
'foo': 'bar'
}
})
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
assert 'dry_run_sell_' in sell(pair='BTC_ETH', rate=200, amount=1)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
order = exchange.sell(pair='ETH/BTC', rate=200, amount=1)
assert 'id' in order
assert 'info' in order
assert order['id'] == order_id
# test exception handling
with pytest.raises(DependencyException):
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.InsufficientFunds)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(DependencyException):
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(TemporaryError):
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
with pytest.raises(OperationalException):
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
def test_get_balance_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
assert get_balance(currency='BTC') == 999.9
exchange = get_patched_exchange(mocker, default_conf)
assert exchange.get_balance(currency='BTC') == 999.9
def test_get_balance_prod(default_conf, mocker):
api_mock = MagicMock()
api_mock.get_balance = MagicMock(return_value=123.4)
mocker.patch('freqtrade.exchange._API', api_mock)
api_mock.fetch_balance = MagicMock(return_value={'BTC': {'free': 123.4}})
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
assert get_balance(currency='BTC') == 123.4
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.get_balance(currency='BTC') == 123.4
with pytest.raises(OperationalException):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_balance(currency='BTC')
def test_get_balances_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
assert get_balances() == []
exchange = get_patched_exchange(mocker, default_conf)
assert exchange.get_balances() == {}
def test_get_balances_prod(default_conf, mocker):
balance_item = {
'Currency': '1ST',
'Balance': 10.0,
'Available': 10.0,
'Pending': 0.0,
'CryptoAddress': None
'free': 10.0,
'total': 10.0,
'used': 0.0
}
api_mock = MagicMock()
api_mock.get_balances = MagicMock(
return_value=[balance_item, balance_item, balance_item])
mocker.patch('freqtrade.exchange._API', api_mock)
api_mock.fetch_balance = MagicMock(return_value={
'1ST': balance_item,
'2ST': balance_item,
'3ST': balance_item
})
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert len(exchange.get_balances()) == 3
assert exchange.get_balances()['1ST']['free'] == 10.0
assert exchange.get_balances()['1ST']['total'] == 10.0
assert exchange.get_balances()['1ST']['used'] == 0.0
assert len(get_balances()) == 3
assert get_balances()[0]['Currency'] == '1ST'
assert get_balances()[0]['Balance'] == 10.0
assert get_balances()[0]['Available'] == 10.0
assert get_balances()[0]['Pending'] == 0.0
with pytest.raises(TemporaryError):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_balances()
assert api_mock.fetch_balance.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_balances()
assert api_mock.fetch_balance.call_count == 1
# This test is somewhat redundant with
# test_exchange_bittrex.py::test_exchange_bittrex_get_ticker
def test_get_ticker(default_conf, mocker):
maybe_init_api(default_conf, mocker)
def test_get_tickers(default_conf, mocker):
api_mock = MagicMock()
tick = {"success": True, 'result': {'Bid': 0.00001098, 'Ask': 0.00001099, 'Last': 0.0001}}
api_mock.get_ticker = MagicMock(return_value=tick)
mocker.patch('freqtrade.exchange.bittrex._API', api_mock)
tick = {'ETH/BTC': {
'symbol': 'ETH/BTC',
'bid': 0.5,
'ask': 1,
'last': 42,
}, 'BCH/BTC': {
'symbol': 'BCH/BTC',
'bid': 0.6,
'ask': 0.5,
'last': 41,
}
}
api_mock.fetch_tickers = MagicMock(return_value=tick)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# retrieve original ticker
ticker = get_ticker(pair='BTC_ETH')
tickers = exchange.get_tickers()
assert 'ETH/BTC' in tickers
assert 'BCH/BTC' in tickers
assert tickers['ETH/BTC']['bid'] == 0.5
assert tickers['ETH/BTC']['ask'] == 1
assert tickers['BCH/BTC']['bid'] == 0.6
assert tickers['BCH/BTC']['ask'] == 0.5
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
with pytest.raises(OperationalException):
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
with pytest.raises(OperationalException):
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.NotSupported)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
api_mock.fetch_tickers = MagicMock(return_value={})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
def test_get_ticker(default_conf, mocker):
api_mock = MagicMock()
tick = {
'symbol': 'ETH/BTC',
'bid': 0.00001098,
'ask': 0.00001099,
'last': 0.0001,
}
api_mock.fetch_ticker = MagicMock(return_value=tick)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# retrieve original ticker
ticker = exchange.get_ticker(pair='ETH/BTC')
assert ticker['bid'] == 0.00001098
assert ticker['ask'] == 0.00001099
# change the ticker
tick = {"success": True, 'result': {"Bid": 0.5, "Ask": 1, "Last": 42}}
api_mock.get_ticker = MagicMock(return_value=tick)
mocker.patch('freqtrade.exchange.bittrex._API', api_mock)
tick = {
'symbol': 'ETH/BTC',
'bid': 0.5,
'ask': 1,
'last': 42,
}
api_mock.fetch_ticker = MagicMock(return_value=tick)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# if not caching the result we should get the same ticker
# if not fetching a new result we should get the cached ticker
ticker = get_ticker(pair='BTC_ETH', refresh=False)
assert ticker['bid'] == 0.00001098
assert ticker['ask'] == 0.00001099
ticker = exchange.get_ticker(pair='ETH/BTC')
# force ticker refresh
ticker = get_ticker(pair='BTC_ETH', refresh=True)
assert api_mock.fetch_ticker.call_count == 1
assert ticker['bid'] == 0.5
assert ticker['ask'] == 1
assert 'ETH/BTC' in exchange._cached_ticker
assert exchange._cached_ticker['ETH/BTC']['bid'] == 0.5
assert exchange._cached_ticker['ETH/BTC']['ask'] == 1
# Test caching
api_mock.fetch_ticker = MagicMock()
exchange.get_ticker(pair='ETH/BTC', refresh=False)
assert api_mock.fetch_ticker.call_count == 0
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_ticker = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_ticker(pair='ETH/BTC', refresh=True)
with pytest.raises(OperationalException):
api_mock.fetch_ticker = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_ticker(pair='ETH/BTC', refresh=True)
api_mock.fetch_ticker = MagicMock(return_value={})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_ticker(pair='ETH/BTC', refresh=True)
def make_fetch_ohlcv_mock(data):
def fetch_ohlcv_mock(pair, timeframe, since):
if since:
assert since > data[-1][0]
return []
return data
return fetch_ohlcv_mock
def test_get_ticker_history(default_conf, mocker):
api_mock = MagicMock()
tick = 123
api_mock.get_ticker_history = MagicMock(return_value=tick)
mocker.patch('freqtrade.exchange._API', api_mock)
tick = [
[
1511686200000, # unix timestamp ms
1, # open
2, # high
3, # low
4, # close
5, # volume (in quote currency)
]
]
type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': True})
api_mock.fetch_ohlcv = MagicMock(side_effect=make_fetch_ohlcv_mock(tick))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# retrieve original ticker
ticks = get_ticker_history('BTC_ETH', int(default_conf['ticker_interval']))
assert ticks == 123
ticks = exchange.get_ticker_history('ETH/BTC', default_conf['ticker_interval'])
assert ticks[0][0] == 1511686200000
assert ticks[0][1] == 1
assert ticks[0][2] == 2
assert ticks[0][3] == 3
assert ticks[0][4] == 4
assert ticks[0][5] == 5
# change the ticker
tick = 999
api_mock.get_ticker_history = MagicMock(return_value=tick)
mocker.patch('freqtrade.exchange._API', api_mock)
# change ticker and ensure tick changes
new_tick = [
[
1511686210000, # unix timestamp ms
6, # open
7, # high
8, # low
9, # close
10, # volume (in quote currency)
]
]
api_mock.fetch_ohlcv = MagicMock(side_effect=make_fetch_ohlcv_mock(new_tick))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# ensure caching will still return the original ticker
ticks = get_ticker_history('BTC_ETH', int(default_conf['ticker_interval']))
assert ticks == 123
ticks = exchange.get_ticker_history('ETH/BTC', default_conf['ticker_interval'])
assert ticks[0][0] == 1511686210000
assert ticks[0][1] == 6
assert ticks[0][2] == 7
assert ticks[0][3] == 8
assert ticks[0][4] == 9
assert ticks[0][5] == 10
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# new symbol to get around cache
exchange.get_ticker_history('ABCD/BTC', default_conf['ticker_interval'])
with pytest.raises(OperationalException):
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# new symbol to get around cache
exchange.get_ticker_history('EFGH/BTC', default_conf['ticker_interval'])
def test_get_ticker_history_sort(default_conf, mocker):
api_mock = MagicMock()
# GDAX use-case (real data from GDAX)
# This ticker history is ordered DESC (newest first, oldest last)
tick = [
[1527833100000, 0.07666, 0.07671, 0.07666, 0.07668, 16.65244264],
[1527832800000, 0.07662, 0.07666, 0.07662, 0.07666, 1.30051526],
[1527832500000, 0.07656, 0.07661, 0.07656, 0.07661, 12.034778840000001],
[1527832200000, 0.07658, 0.07658, 0.07655, 0.07656, 0.59780186],
[1527831900000, 0.07658, 0.07658, 0.07658, 0.07658, 1.76278136],
[1527831600000, 0.07658, 0.07658, 0.07658, 0.07658, 2.22646521],
[1527831300000, 0.07655, 0.07657, 0.07655, 0.07657, 1.1753],
[1527831000000, 0.07654, 0.07654, 0.07651, 0.07651, 0.8073060299999999],
[1527830700000, 0.07652, 0.07652, 0.07651, 0.07652, 10.04822687],
[1527830400000, 0.07649, 0.07651, 0.07649, 0.07651, 2.5734867]
]
type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': True})
api_mock.fetch_ohlcv = MagicMock(side_effect=make_fetch_ohlcv_mock(tick))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# Test the ticker history sort
ticks = exchange.get_ticker_history('ETH/BTC', default_conf['ticker_interval'])
assert ticks[0][0] == 1527830400000
assert ticks[0][1] == 0.07649
assert ticks[0][2] == 0.07651
assert ticks[0][3] == 0.07649
assert ticks[0][4] == 0.07651
assert ticks[0][5] == 2.5734867
assert ticks[9][0] == 1527833100000
assert ticks[9][1] == 0.07666
assert ticks[9][2] == 0.07671
assert ticks[9][3] == 0.07666
assert ticks[9][4] == 0.07668
assert ticks[9][5] == 16.65244264
# Bittrex use-case (real data from Bittrex)
# This ticker history is ordered ASC (oldest first, newest last)
tick = [
[1527827700000, 0.07659999, 0.0766, 0.07627, 0.07657998, 1.85216924],
[1527828000000, 0.07657995, 0.07657995, 0.0763, 0.0763, 26.04051037],
[1527828300000, 0.0763, 0.07659998, 0.0763, 0.0764, 10.36434124],
[1527828600000, 0.0764, 0.0766, 0.0764, 0.0766, 5.71044773],
[1527828900000, 0.0764, 0.07666998, 0.0764, 0.07666998, 47.48888565],
[1527829200000, 0.0765, 0.07672999, 0.0765, 0.07672999, 3.37640326],
[1527829500000, 0.0766, 0.07675, 0.0765, 0.07675, 8.36203831],
[1527829800000, 0.07675, 0.07677999, 0.07620002, 0.076695, 119.22963884],
[1527830100000, 0.076695, 0.07671, 0.07624171, 0.07671, 1.80689244],
[1527830400000, 0.07671, 0.07674399, 0.07629216, 0.07655213, 2.31452783]
]
type(api_mock).has = PropertyMock(return_value={'fetchOHLCV': True})
api_mock.fetch_ohlcv = MagicMock(side_effect=make_fetch_ohlcv_mock(tick))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# Test the ticker history sort
ticks = exchange.get_ticker_history('ETH/BTC', default_conf['ticker_interval'])
assert ticks[0][0] == 1527827700000
assert ticks[0][1] == 0.07659999
assert ticks[0][2] == 0.0766
assert ticks[0][3] == 0.07627
assert ticks[0][4] == 0.07657998
assert ticks[0][5] == 1.85216924
assert ticks[9][0] == 1527830400000
assert ticks[9][1] == 0.07671
assert ticks[9][2] == 0.07674399
assert ticks[9][3] == 0.07629216
assert ticks[9][4] == 0.07655213
assert ticks[9][5] == 2.31452783
def test_cancel_order_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
assert cancel_order(order_id='123') is None
exchange = get_patched_exchange(mocker, default_conf)
assert exchange.cancel_order(order_id='123', pair='TKN/BTC') is None
# Ensure that if not dry_run, we should call API
def test_cancel_order(default_conf, mocker):
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
api_mock = MagicMock()
api_mock.cancel_order = MagicMock(return_value=123)
mocker.patch('freqtrade.exchange._API', api_mock)
assert cancel_order(order_id='_') == 123
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.cancel_order(order_id='_', pair='TKN/BTC') == 123
with pytest.raises(TemporaryError):
api_mock.cancel_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(DependencyException):
api_mock.cancel_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.cancel_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == 1
def test_get_order(default_conf, mocker):
default_conf['dry_run'] = True
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
order = MagicMock()
order.myid = 123
exchange._DRY_RUN_OPEN_ORDERS['X'] = order
print(exchange.get_order('X'))
assert exchange.get_order('X').myid == 123
exchange = get_patched_exchange(mocker, default_conf)
exchange._dry_run_open_orders['X'] = order
print(exchange.get_order('X', 'TKN/BTC'))
assert exchange.get_order('X', 'TKN/BTC').myid == 123
default_conf['dry_run'] = False
mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
api_mock = MagicMock()
api_mock.get_order = MagicMock(return_value=456)
mocker.patch('freqtrade.exchange._API', api_mock)
assert exchange.get_order('X') == 456
api_mock.fetch_order = MagicMock(return_value=456)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.get_order('X', 'TKN/BTC') == 456
with pytest.raises(TemporaryError):
api_mock.fetch_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(DependencyException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
def test_get_name(default_conf, mocker):
mocker.patch('freqtrade.exchange.validate_pairs',
def test_name(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_pairs',
side_effect=lambda s: True)
default_conf['exchange']['name'] = 'bittrex'
init(default_conf)
default_conf['exchange']['name'] = 'binance'
exchange = Exchange(default_conf)
assert get_name() == 'Bittrex'
assert exchange.name == 'Binance'
def test_id(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_pairs',
side_effect=lambda s: True)
default_conf['exchange']['name'] = 'binance'
exchange = Exchange(default_conf)
assert exchange.id == 'binance'
def test_get_pair_detail_url(default_conf, mocker, caplog):
mocker.patch('freqtrade.exchange.Exchange.validate_pairs',
side_effect=lambda s: True)
default_conf['exchange']['name'] = 'binance'
exchange = Exchange(default_conf)
url = exchange.get_pair_detail_url('TKN/ETH')
assert 'TKN' in url
assert 'ETH' in url
url = exchange.get_pair_detail_url('LOOONG/BTC')
assert 'LOOONG' in url
assert 'BTC' in url
default_conf['exchange']['name'] = 'bittrex'
exchange = Exchange(default_conf)
url = exchange.get_pair_detail_url('TKN/ETH')
assert 'TKN' in url
assert 'ETH' in url
url = exchange.get_pair_detail_url('LOOONG/BTC')
assert 'LOOONG' in url
assert 'BTC' in url
default_conf['exchange']['name'] = 'poloniex'
exchange = Exchange(default_conf)
url = exchange.get_pair_detail_url('LOOONG/BTC')
assert '' == url
assert log_has('Could not get exchange url for Poloniex', caplog.record_tuples)
def test_get_trades_for_order(default_conf, mocker):
order_id = 'ABCD-ABCD'
since = datetime(2018, 5, 5)
default_conf["dry_run"] = False
mocker.patch('freqtrade.exchange.Exchange.exchange_has', return_value=True)
api_mock = MagicMock()
api_mock.fetch_my_trades = MagicMock(return_value=[{'id': 'TTR67E-3PFBD-76IISV',
'order': 'ABCD-ABCD',
'info': {'pair': 'XLTCZBTC',
'time': 1519860024.4388,
'type': 'buy',
'ordertype': 'limit',
'price': '20.00000',
'cost': '38.62000',
'fee': '0.06179',
'vol': '5',
'id': 'ABCD-ABCD'},
'timestamp': 1519860024438,
'datetime': '2018-02-28T23:20:24.438Z',
'symbol': 'LTC/BTC',
'type': 'limit',
'side': 'buy',
'price': 165.0,
'amount': 0.2340606,
'fee': {'cost': 0.06179, 'currency': 'BTC'}
}])
exchange = get_patched_exchange(mocker, default_conf, api_mock)
orders = exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
assert len(orders) == 1
assert orders[0]['price'] == 165
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.fetch_my_trades = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.fetch_my_trades = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
assert api_mock.fetch_my_trades.call_count == API_RETRY_COUNT + 1
def test_get_markets(default_conf, mocker, markets):
api_mock = MagicMock()
api_mock.fetch_markets = markets
exchange = get_patched_exchange(mocker, default_conf, api_mock)
ret = exchange.get_markets()
assert isinstance(ret, list)
assert len(ret) == 6
assert ret[0]["id"] == "ethbtc"
assert ret[0]["symbol"] == "ETH/BTC"
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.fetch_markets = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_markets()
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.fetch_markets = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_markets()
assert api_mock.fetch_markets.call_count == API_RETRY_COUNT + 1
def test_get_fee(default_conf, mocker):
mocker.patch('freqtrade.exchange.validate_pairs',
side_effect=lambda s: True)
init(default_conf)
assert get_fee() == 0.0025
def test_exchange_misc(mocker):
api_mock = MagicMock()
mocker.patch('freqtrade.exchange._API', api_mock)
exchange.get_markets()
assert api_mock.get_markets.call_count == 1
exchange.get_market_summaries()
assert api_mock.get_market_summaries.call_count == 1
api_mock.name = 123
assert exchange.get_name() == 123
api_mock.fee = 456
assert exchange.get_fee() == 456
exchange.get_wallet_health()
assert api_mock.get_wallet_health.call_count == 1
api_mock.calculate_fee = MagicMock(return_value={
'type': 'taker',
'currency': 'BTC',
'rate': 0.025,
'cost': 0.05
})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.get_fee() == 0.025
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.calculate_fee = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_fee()
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.calculate_fee = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_fee()
assert api_mock.calculate_fee.call_count == API_RETRY_COUNT + 1
def test_get_amount_lots(default_conf, mocker):
api_mock = MagicMock()
api_mock.amount_to_lots = MagicMock(return_value=1.0)
api_mock.markets = None
marketmock = MagicMock()
api_mock.load_markets = marketmock
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.get_amount_lots('LTC/BTC', 1.54) == 1
assert marketmock.call_count == 1

349
freqtrade/tests/exchange/test_exchange_bittrex.py
View File

@ -1,349 +0,0 @@
# pragma pylint: disable=missing-docstring, C0103, protected-access, unused-argument
from unittest.mock import MagicMock
import pytest
from requests.exceptions import ContentDecodingError
import freqtrade.exchange.bittrex as btx
from freqtrade.exchange.bittrex import Bittrex
# Eat this flake8
# +------------------+
# | bittrex.Bittrex |
# +------------------+
# |
# (mock Fake_bittrex)
# |
# +-----------------------------+
# | freqtrade.exchange.Bittrex |
# +-----------------------------+
# Call into Bittrex will flow up to the
# external package bittrex.Bittrex.
# By inserting a mock, we redirect those
# calls.
# The faked bittrex API is called just 'fb'
# The freqtrade.exchange.Bittrex is a
# wrapper, and is called 'wb'
def _stub_config():
return {'key': '',
'secret': ''}
class FakeBittrex():
def __init__(self, success=True):
self.success = True # Believe in yourself
self.result = None
self.get_ticker_call_count = 0
# This is really ugly, doing side-effect during instance creation
# But we're allowed to in testing-code
btx._API = MagicMock()
btx._API.buy_limit = self.fake_buysell_limit
btx._API.sell_limit = self.fake_buysell_limit
btx._API.get_balance = self.fake_get_balance
btx._API.get_balances = self.fake_get_balances
btx._API.get_ticker = self.fake_get_ticker
btx._API.get_order = self.fake_get_order
btx._API.cancel = self.fake_cancel_order
btx._API.get_markets = self.fake_get_markets
btx._API.get_market_summaries = self.fake_get_market_summaries
btx._API_V2 = MagicMock()
btx._API_V2.get_candles = self.fake_get_candles
btx._API_V2.get_wallet_health = self.fake_get_wallet_health
def fake_buysell_limit(self, pair, amount, limit):
return {'success': self.success,
'result': {'uuid': '1234'},
'message': 'barter'}
def fake_get_balance(self, cur):
return {'success': self.success,
'result': {'Balance': 1234},
'message': 'unbalanced'}
def fake_get_balances(self):
return {'success': self.success,
'result': [{'BTC_ETH': 1234}],
'message': 'no balances'}
def fake_get_ticker(self, pair):
self.get_ticker_call_count += 1
return self.result or {'success': self.success,
'result': {'Bid': 1, 'Ask': 1, 'Last': 1},
'message': 'NO_API_RESPONSE'}
def fake_get_candles(self, pair, interval):
return self.result or {'success': self.success,
'result': [{'C': 0, 'V': 0, 'O': 0, 'H': 0, 'L': 0, 'T': 0}],
'message': 'candles lit'}
def fake_get_order(self, uuid):
return {'success': self.success,
'result': {'OrderUuid': 'ABC123',
'Type': 'Type',
'Exchange': 'BTC_ETH',
'Opened': True,
'PricePerUnit': 1,
'Quantity': 1,
'QuantityRemaining': 1,
'Closed': True},
'message': 'lost'}
def fake_cancel_order(self, uuid):
return self.result or {'success': self.success,
'message': 'no such order'}
def fake_get_markets(self):
return self.result or {'success': self.success,
'message': 'market gone',
'result': [{'MarketName': '-_'}]}
def fake_get_market_summaries(self):
return self.result or {'success': self.success,
'message': 'no summary',
'result': ['sum']}
def fake_get_wallet_health(self):
return self.result or {'success': self.success,
'message': 'bad health',
'result': [{'Health': {'Currency': 'BTC_ETH',
'IsActive': True,
'LastChecked': 0},
'Currency': {'Notice': True}}]}
# The freqtrade.exchange.bittrex is called wrap_bittrex
# to not confuse naming with bittrex.bittrex
def make_wrap_bittrex():
conf = _stub_config()
wb = btx.Bittrex(conf)
return wb
def test_exchange_bittrex_class():
conf = _stub_config()
b = Bittrex(conf)
assert isinstance(b, Bittrex)
slots = dir(b)
for name in ['fee', 'buy', 'sell', 'get_balance', 'get_balances',
'get_ticker', 'get_ticker_history', 'get_order',
'cancel_order', 'get_pair_detail_url', 'get_markets',
'get_market_summaries', 'get_wallet_health']:
assert name in slots
# FIX: ensure that the slot is also a method in the class
# getattr(b, name) => bound method Bittrex.buy
# type(getattr(b, name)) => class 'method'
def test_exchange_bittrex_fee():
fee = Bittrex.fee.__get__(Bittrex)
assert fee >= 0 and fee < 0.1 # Fee is 0-10 %
def test_exchange_bittrex_buy_good():
wb = make_wrap_bittrex()
fb = FakeBittrex()
uuid = wb.buy('BTC_ETH', 1, 1)
assert uuid == fb.fake_buysell_limit(1, 2, 3)['result']['uuid']
fb.success = False
with pytest.raises(btx.OperationalException, match=r'barter.*'):
wb.buy('BAD', 1, 1)
def test_exchange_bittrex_sell_good():
wb = make_wrap_bittrex()
fb = FakeBittrex()
uuid = wb.sell('BTC_ETH', 1, 1)
assert uuid == fb.fake_buysell_limit(1, 2, 3)['result']['uuid']
fb.success = False
with pytest.raises(btx.OperationalException, match=r'barter.*'):
uuid = wb.sell('BAD', 1, 1)
def test_exchange_bittrex_get_balance():
wb = make_wrap_bittrex()
fb = FakeBittrex()
bal = wb.get_balance('BTC_ETH')
assert bal == fb.fake_get_balance(1)['result']['Balance']
fb.success = False
with pytest.raises(btx.OperationalException, match=r'unbalanced'):
wb.get_balance('BTC_ETH')
def test_exchange_bittrex_get_balances():
wb = make_wrap_bittrex()
fb = FakeBittrex()
bals = wb.get_balances()
assert bals == fb.fake_get_balances()['result']
fb.success = False
with pytest.raises(btx.OperationalException, match=r'no balances'):
wb.get_balances()
def test_exchange_bittrex_get_ticker():
wb = make_wrap_bittrex()
fb = FakeBittrex()
# Poll ticker, which updates the cache
tick = wb.get_ticker('BTC_ETH')
for x in ['bid', 'ask', 'last']:
assert x in tick
# Ensure the side-effect was made (update the ticker cache)
assert 'BTC_ETH' in wb.cached_ticker.keys()
# taint the cache, so we can recognize the cache wall utilized
wb.cached_ticker['BTC_ETH']['bid'] = 1234
# Poll again, getting the cached result
fb.get_ticker_call_count = 0
tick = wb.get_ticker('BTC_ETH', False)
# Ensure the result was from the cache, and that we didn't call exchange
assert wb.cached_ticker['BTC_ETH']['bid'] == 1234
assert fb.get_ticker_call_count == 0
def test_exchange_bittrex_get_ticker_bad():
wb = make_wrap_bittrex()
fb = FakeBittrex()
fb.result = {'success': True, 'result': {'Bid': 1, 'Ask': 0}} # incomplete result
with pytest.raises(ContentDecodingError, match=r'.*Invalid response from Bittrex params.*'):
wb.get_ticker('BTC_ETH')
fb.result = {'success': False, 'message': 'gone bad'}
with pytest.raises(btx.OperationalException, match=r'.*gone bad.*'):
wb.get_ticker('BTC_ETH')
fb.result = {'success': True, 'result': {}} # incomplete result
with pytest.raises(ContentDecodingError, match=r'.*Invalid response from Bittrex params.*'):
wb.get_ticker('BTC_ETH')
fb.result = {'success': False, 'message': 'gone bad'}
with pytest.raises(btx.OperationalException, match=r'.*gone bad.*'):
wb.get_ticker('BTC_ETH')
fb.result = {'success': True,
'result': {'Bid': 1, 'Ask': 0, 'Last': None}} # incomplete result
with pytest.raises(ContentDecodingError, match=r'.*Invalid response from Bittrex params.*'):
wb.get_ticker('BTC_ETH')
def test_exchange_bittrex_get_ticker_history_intervals():
wb = make_wrap_bittrex()
FakeBittrex()
for tick_interval in [1, 5, 30, 60, 1440]:
assert ([{'C': 0, 'V': 0, 'O': 0, 'H': 0, 'L': 0, 'T': 0}] ==
wb.get_ticker_history('BTC_ETH', tick_interval))
def test_exchange_bittrex_get_ticker_history():
wb = make_wrap_bittrex()
fb = FakeBittrex()
assert wb.get_ticker_history('BTC_ETH', 5)
with pytest.raises(ValueError, match=r'.*Unknown tick_interval.*'):
wb.get_ticker_history('BTC_ETH', 2)
fb.success = False
with pytest.raises(btx.OperationalException, match=r'candles lit.*'):
wb.get_ticker_history('BTC_ETH', 5)
fb.success = True
with pytest.raises(ContentDecodingError, match=r'.*Invalid response from Bittrex.*'):
fb.result = {'bad': 0}
wb.get_ticker_history('BTC_ETH', 5)
with pytest.raises(ContentDecodingError, match=r'.*Required property C not present.*'):
fb.result = {'success': True,
'result': [{'V': 0, 'O': 0, 'H': 0, 'L': 0, 'T': 0}], # close is missing
'message': 'candles lit'}
wb.get_ticker_history('BTC_ETH', 5)
def test_exchange_bittrex_get_order():
wb = make_wrap_bittrex()
fb = FakeBittrex()
order = wb.get_order('someUUID')
assert order['id'] == 'ABC123'
fb.success = False
with pytest.raises(btx.OperationalException, match=r'lost'):
wb.get_order('someUUID')
def test_exchange_bittrex_cancel_order():
wb = make_wrap_bittrex()
fb = FakeBittrex()
wb.cancel_order('someUUID')
with pytest.raises(btx.OperationalException, match=r'no such order'):
fb.success = False
wb.cancel_order('someUUID')
# Note: this can be a bug in exchange.bittrex._validate_response
with pytest.raises(KeyError):
fb.result = {'success': False} # message is missing!
wb.cancel_order('someUUID')
with pytest.raises(btx.OperationalException, match=r'foo'):
fb.result = {'success': False, 'message': 'foo'}
wb.cancel_order('someUUID')
def test_exchange_get_pair_detail_url():
wb = make_wrap_bittrex()
assert wb.get_pair_detail_url('BTC_ETH')
def test_exchange_get_markets():
wb = make_wrap_bittrex()
fb = FakeBittrex()
x = wb.get_markets()
assert x == ['__']
with pytest.raises(btx.OperationalException, match=r'market gone'):
fb.success = False
wb.get_markets()
def test_exchange_get_market_summaries():
wb = make_wrap_bittrex()
fb = FakeBittrex()
assert ['sum'] == wb.get_market_summaries()
with pytest.raises(btx.OperationalException, match=r'no summary'):
fb.success = False
wb.get_market_summaries()
def test_exchange_get_wallet_health():
wb = make_wrap_bittrex()
fb = FakeBittrex()
x = wb.get_wallet_health()
assert x[0]['Currency'] == 'BTC_ETH'
with pytest.raises(btx.OperationalException, match=r'bad health'):
fb.success = False
wb.get_wallet_health()
def test_validate_response_success():
response = {
'message': '',
'result': [],
}
Bittrex._validate_response(response)
def test_validate_response_no_api_response():
response = {
'message': 'NO_API_RESPONSE',
'result': None,
}
with pytest.raises(ContentDecodingError, match=r'.*NO_API_RESPONSE.*'):
Bittrex._validate_response(response)
def test_validate_response_min_trade_requirement_not_met():
response = {
'message': 'MIN_TRADE_REQUIREMENT_NOT_MET',
'result': None,
}
with pytest.raises(ContentDecodingError, match=r'.*MIN_TRADE_REQUIREMENT_NOT_MET.*'):
Bittrex._validate_response(response)

436
freqtrade/tests/optimize/test_backtesting.py
View File

@ -3,6 +3,7 @@
import json
import math
import random
import pytest
from copy import deepcopy
from typing import List
from unittest.mock import MagicMock
@ -11,14 +12,11 @@ import numpy as np
import pandas as pd
from arrow import Arrow
from freqtrade import optimize
from freqtrade import optimize, constants, DependencyException
from freqtrade.analyze import Analyze
from freqtrade.arguments import Arguments
from freqtrade.arguments import Arguments, TimeRange
from freqtrade.optimize.backtesting import Backtesting, start, setup_configuration
from freqtrade.tests.conftest import default_conf, log_has
# Avoid to reinit the same object again and again
_BACKTESTING = Backtesting(default_conf())
from freqtrade.tests.conftest import log_has, patch_exchange
def get_args(args) -> List[str]:
@ -33,50 +31,61 @@ def trim_dictlist(dict_list, num):
def load_data_test(what):
timerange = ((None, 'line'), None, -100)
data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'], timerange=timerange)
pair = data['BTC_UNITEST']
timerange = TimeRange(None, 'line', 0, -101)
data = optimize.load_data(None, ticker_interval='1m',
pairs=['UNITTEST/BTC'], timerange=timerange)
pair = data['UNITTEST/BTC']
datalen = len(pair)
# Depending on the what parameter we now adjust the
# loaded data looks:
# pair :: [{'O': 0.123, 'H': 0.123, 'L': 0.123,
# 'C': 0.123, 'V': 123.123,
# 'T': '2017-11-04T23:02:00', 'BV': 0.123}]
# pair :: [[ 1509836520000, unix timestamp in ms
# 0.00162008, open
# 0.00162008, high
# 0.00162008, low
# 0.00162008, close
# 108.14853839 base volume
# ]]
base = 0.001
if what == 'raise':
return {'BTC_UNITEST':
[{'T': pair[x]['T'], # Keep old dates
'V': pair[x]['V'], # Keep old volume
'BV': pair[x]['BV'], # keep too
'O': x * base, # But replace O,H,L,C
'H': x * base + 0.0001,
'L': x * base - 0.0001,
'C': x * base} for x in range(0, datalen)]}
return {'UNITTEST/BTC': [
[
pair[x][0], # Keep old dates
x * base, # But replace O,H,L,C
x * base + 0.0001,
x * base - 0.0001,
x * base,
pair[x][5], # Keep old volume
] for x in range(0, datalen)
]}
if what == 'lower':
return {'BTC_UNITEST':
[{'T': pair[x]['T'], # Keep old dates
'V': pair[x]['V'], # Keep old volume
'BV': pair[x]['BV'], # keep too
'O': 1 - x * base, # But replace O,H,L,C
'H': 1 - x * base + 0.0001,
'L': 1 - x * base - 0.0001,
'C': 1 - x * base} for x in range(0, datalen)]}
return {'UNITTEST/BTC': [
[
pair[x][0], # Keep old dates
1 - x * base, # But replace O,H,L,C
1 - x * base + 0.0001,
1 - x * base - 0.0001,
1 - x * base,
pair[x][5] # Keep old volume
] for x in range(0, datalen)
]}
if what == 'sine':
hz = 0.1 # frequency
return {'BTC_UNITEST':
[{'T': pair[x]['T'], # Keep old dates
'V': pair[x]['V'], # Keep old volume
'BV': pair[x]['BV'], # keep too
# But replace O,H,L,C
'O': math.sin(x * hz) / 1000 + base,
'H': math.sin(x * hz) / 1000 + base + 0.0001,
'L': math.sin(x * hz) / 1000 + base - 0.0001,
'C': math.sin(x * hz) / 1000 + base} for x in range(0, datalen)]}
return {'UNITTEST/BTC': [
[
pair[x][0], # Keep old dates
math.sin(x * hz) / 1000 + base, # But replace O,H,L,C
math.sin(x * hz) / 1000 + base + 0.0001,
math.sin(x * hz) / 1000 + base - 0.0001,
math.sin(x * hz) / 1000 + base,
pair[x][5] # Keep old volume
] for x in range(0, datalen)
]}
return data
def simple_backtest(config, contour, num_results) -> None:
backtesting = _BACKTESTING
def simple_backtest(config, contour, num_results, mocker) -> None:
patch_exchange(mocker)
backtesting = Backtesting(config)
data = load_data_test(contour)
processed = backtesting.tickerdata_to_dataframe(data)
@ -93,26 +102,29 @@ def simple_backtest(config, contour, num_results) -> None:
assert len(results) == num_results
def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False, timerange=None):
tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1, timerange=timerange)
pairdata = {'BTC_UNITEST': tickerdata}
def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=False,
timerange=None, exchange=None):
tickerdata = optimize.load_tickerdata_file(datadir, 'UNITTEST/BTC', '1m', timerange=timerange)
pairdata = {'UNITTEST/BTC': tickerdata}
return pairdata
# use for mock freqtrade.exchange.get_ticker_history'
def _load_pair_as_ticks(pair, tickfreq):
ticks = optimize.load_data(None, ticker_interval=tickfreq, pairs=[pair])
ticks = trim_dictlist(ticks, -200)
ticks = trim_dictlist(ticks, -201)
return ticks[pair]
# FIX: fixturize this?
def _make_backtest_conf(conf=None, pair='BTC_UNITEST', record=None):
data = optimize.load_data(None, ticker_interval=8, pairs=[pair])
data = trim_dictlist(data, -200)
def _make_backtest_conf(mocker, conf=None, pair='UNITTEST/BTC', record=None):
data = optimize.load_data(None, ticker_interval='8m', pairs=[pair])
data = trim_dictlist(data, -201)
patch_exchange(mocker)
backtesting = Backtesting(conf)
return {
'stake_amount': conf['stake_amount'],
'processed': _BACKTESTING.tickerdata_to_dataframe(data),
'processed': backtesting.tickerdata_to_dataframe(data),
'max_open_trades': 10,
'realistic': True,
'record': record
@ -148,21 +160,6 @@ def _trend_alternate(dataframe=None):
return dataframe
def _run_backtest_1(fun, backtest_conf):
# strategy is a global (hidden as a singleton), so we
# emulate strategy being pure, by override/restore here
# if we dont do this, the override in strategy will carry over
# to other tests
old_buy = _BACKTESTING.populate_buy_trend
old_sell = _BACKTESTING.populate_sell_trend
_BACKTESTING.populate_buy_trend = fun # Override
_BACKTESTING.populate_sell_trend = fun # Override
results = _BACKTESTING.backtest(backtest_conf)
_BACKTESTING.populate_buy_trend = old_buy # restore override
_BACKTESTING.populate_sell_trend = old_sell # restore override
return results
# Unit tests
def test_setup_configuration_without_arguments(mocker, default_conf, caplog) -> None:
"""
@ -186,7 +183,7 @@ def test_setup_configuration_without_arguments(mocker, default_conf, caplog) ->
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has(
'Parameter --datadir detected: {} ...'.format(config['datadir']),
'Using data folder: {} ...'.format(config['datadir']),
caplog.record_tuples
)
assert 'ticker_interval' in config
@ -218,12 +215,13 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
'--strategy', 'DefaultStrategy',
'--datadir', '/foo/bar',
'backtesting',
'--ticker-interval', '1',
'--ticker-interval', '1m',
'--live',
'--realistic-simulation',
'--refresh-pairs-cached',
'--timerange', ':100',
'--export', '/bar/foo'
'--export', '/bar/foo',
'--export-filename', 'foo_bar.json'
]
config = setup_configuration(get_args(args))
@ -234,24 +232,24 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has(
'Parameter --datadir detected: {} ...'.format(config['datadir']),
'Using data folder: {} ...'.format(config['datadir']),
caplog.record_tuples
)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
assert log_has(
'Using ticker_interval: 1 ...',
'Using ticker_interval: 1m ...',
caplog.record_tuples
)
assert 'live' in config
assert log_has('Parameter -l/--live detected ...', caplog.record_tuples)
assert 'realistic_simulation'in config
assert 'realistic_simulation' in config
assert log_has('Parameter --realistic-simulation detected ...', caplog.record_tuples)
assert log_has('Using max_open_trades: 1 ...', caplog.record_tuples)
assert 'refresh_pairs'in config
assert 'refresh_pairs' in config
assert log_has('Parameter -r/--refresh-pairs-cached detected ...', caplog.record_tuples)
assert 'timerange' in config
assert log_has(
@ -264,13 +262,42 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
'Parameter --export detected: {} ...'.format(config['export']),
caplog.record_tuples
)
assert 'exportfilename' in config
assert log_has(
'Storing backtest results to {} ...'.format(config['exportfilename']),
caplog.record_tuples
)
def test_start(mocker, default_conf, caplog) -> None:
def test_setup_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
"""
Test setup_configuration() function
"""
conf = deepcopy(default_conf)
conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(conf)
))
args = [
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'backtesting'
]
with pytest.raises(DependencyException, match=r'.*stake amount.*'):
setup_configuration(get_args(args))
def test_start(mocker, fee, default_conf, caplog) -> None:
"""
Test start() function
"""
start_mock = MagicMock()
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.start', start_mock)
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(default_conf)
@ -289,114 +316,104 @@ def test_start(mocker, default_conf, caplog) -> None:
assert start_mock.call_count == 1
def test_backtesting__init__(mocker, default_conf) -> None:
"""
Test Backtesting.__init__() method
"""
init_mock = MagicMock()
mocker.patch('freqtrade.optimize.backtesting.Backtesting._init', init_mock)
backtesting = Backtesting(default_conf)
assert backtesting.config == default_conf
assert backtesting.analyze is None
assert backtesting.ticker_interval is None
assert backtesting.tickerdata_to_dataframe is None
assert backtesting.populate_buy_trend is None
assert backtesting.populate_sell_trend is None
assert init_mock.call_count == 1
def test_backtesting_init(default_conf) -> None:
def test_backtesting_init(mocker, default_conf) -> None:
"""
Test Backtesting._init() method
"""
patch_exchange(mocker)
get_fee = mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.5))
backtesting = Backtesting(default_conf)
assert backtesting.config == default_conf
assert isinstance(backtesting.analyze, Analyze)
assert backtesting.ticker_interval == 5
assert backtesting.ticker_interval == '5m'
assert callable(backtesting.tickerdata_to_dataframe)
assert callable(backtesting.populate_buy_trend)
assert callable(backtesting.populate_sell_trend)
get_fee.assert_called()
assert backtesting.fee == 0.5
def test_tickerdata_to_dataframe(default_conf) -> None:
def test_tickerdata_to_dataframe(default_conf, mocker) -> None:
"""
Test Backtesting.tickerdata_to_dataframe() method
"""
patch_exchange(mocker)
timerange = TimeRange(None, 'line', 0, -100)
tick = optimize.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}
timerange = ((None, 'line'), None, -100)
tick = optimize.load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
tickerlist = {'BTC_UNITEST': tick}
backtesting = _BACKTESTING
backtesting = Backtesting(default_conf)
data = backtesting.tickerdata_to_dataframe(tickerlist)
assert len(data['BTC_UNITEST']) == 100
assert len(data['UNITTEST/BTC']) == 99
# Load Analyze to compare the result between Backtesting function and Analyze are the same
analyze = Analyze(default_conf)
data2 = analyze.tickerdata_to_dataframe(tickerlist)
assert data['BTC_UNITEST'].equals(data2['BTC_UNITEST'])
assert data['UNITTEST/BTC'].equals(data2['UNITTEST/BTC'])
def test_get_timeframe() -> None:
def test_get_timeframe(default_conf, mocker) -> None:
"""
Test Backtesting.get_timeframe() method
"""
backtesting = _BACKTESTING
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
data = backtesting.tickerdata_to_dataframe(
optimize.load_data(
None,
ticker_interval=1,
pairs=['BTC_UNITEST']
ticker_interval='1m',
pairs=['UNITTEST/BTC']
)
)
min_date, max_date = backtesting.get_timeframe(data)
assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
assert max_date.isoformat() == '2017-11-14T22:58:00+00:00'
def test_generate_text_table():
def test_generate_text_table(default_conf, mocker):
"""
Test Backtesting.generate_text_table() method
"""
backtesting = _BACKTESTING
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
results = pd.DataFrame(
{
'currency': ['BTC_ETH', 'BTC_ETH'],
'pair': ['ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2],
'profit_BTC': [0.2, 0.4],
'duration': [10, 30],
'profit_abs': [0.2, 0.4],
'trade_duration': [10, 30],
'profit': [2, 0],
'loss': [0, 0]
}
)
result_str = (
'pair buy count avg profit % '
'total profit BTC avg duration profit loss\n'
'------- ----------- -------------- '
'------------------ -------------- -------- ------\n'
'BTC_ETH 2 15.00 '
'0.60000000 20.0 2 0\n'
'TOTAL 2 15.00 '
'0.60000000 20.0 2 0'
'| pair | buy count | avg profit % | '
'total profit BTC | avg duration | profit | loss |\n'
'|:--------|------------:|---------------:|'
'-------------------:|---------------:|---------:|-------:|\n'
'| ETH/BTC | 2 | 15.00 | '
'0.60000000 | 20.0 | 2 | 0 |\n'
'| TOTAL | 2 | 15.00 | '
'0.60000000 | 20.0 | 2 | 0 |'
)
assert backtesting._generate_text_table(data={'BTC_ETH': {}}, results=results) == result_str
assert backtesting._generate_text_table(data={'ETH/BTC': {}}, results=results) == result_str
def test_backtesting_start(default_conf, mocker, caplog) -> None:
"""
Test Backtesting.start() method
"""
def get_timeframe(input1, input2):
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
mocker.patch('freqtrade.optimize.load_data', mocked_load_data)
mocker.patch('freqtrade.exchange.get_ticker_history')
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history')
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.optimize.backtesting.Backtesting',
backtest=MagicMock(),
@ -405,7 +422,7 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
)
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
conf['ticker_interval'] = 1
conf['live'] = False
conf['datadir'] = None
@ -426,13 +443,49 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
assert log_has(line, caplog.record_tuples)
def test_backtest(default_conf) -> None:
def test_backtesting_start_no_data(default_conf, mocker, caplog) -> None:
"""
Test Backtesting.start() method if no data is found
"""
def get_timeframe(input1, input2):
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
mocker.patch('freqtrade.optimize.load_data', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history')
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.optimize.backtesting.Backtesting',
backtest=MagicMock(),
_generate_text_table=MagicMock(return_value='1'),
get_timeframe=get_timeframe,
)
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
conf['ticker_interval'] = "1m"
conf['live'] = False
conf['datadir'] = None
conf['export'] = None
conf['timerange'] = '20180101-20180102'
backtesting = Backtesting(conf)
backtesting.start()
# check the logs, that will contain the backtest result
assert log_has('No data found. Terminating.', caplog.record_tuples)
def test_backtest(default_conf, fee, mocker) -> None:
"""
Test Backtesting.backtest() method
"""
backtesting = _BACKTESTING
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
data = optimize.load_data(None, ticker_interval='5m', pairs=['UNITTEST/BTC'])
data = trim_dictlist(data, -200)
results = backtesting.backtest(
{
@ -443,16 +496,19 @@ def test_backtest(default_conf) -> None:
}
)
assert not results.empty
assert len(results) == 2
def test_backtest_1min_ticker_interval(default_conf) -> None:
def test_backtest_1min_ticker_interval(default_conf, fee, mocker) -> None:
"""
Test Backtesting.backtest() method with 1 min ticker
"""
backtesting = _BACKTESTING
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
# Run a backtesting for an exiting 5min ticker_interval
data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
data = optimize.load_data(None, ticker_interval='1m', pairs=['UNITTEST/BTC'])
data = trim_dictlist(data, -200)
results = backtesting.backtest(
{
@ -463,17 +519,19 @@ def test_backtest_1min_ticker_interval(default_conf) -> None:
}
)
assert not results.empty
assert len(results) == 1
def test_processed() -> None:
def test_processed(default_conf, mocker) -> None:
"""
Test Backtesting.backtest() method with offline data
"""
backtesting = _BACKTESTING
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
dict_of_tickerrows = load_data_test('raise')
dataframes = backtesting.tickerdata_to_dataframe(dict_of_tickerrows)
dataframe = dataframes['BTC_UNITEST']
dataframe = dataframes['UNITTEST/BTC']
cols = dataframe.columns
# assert the dataframe got some of the indicator columns
for col in ['close', 'high', 'low', 'open', 'date',
@ -481,76 +539,109 @@ def test_processed() -> None:
assert col in cols
def test_backtest_pricecontours(default_conf) -> None:
tests = [['raise', 17], ['lower', 0], ['sine', 17]]
def test_backtest_pricecontours(default_conf, fee, mocker) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
tests = [['raise', 18], ['lower', 0], ['sine', 16]]
for [contour, numres] in tests:
simple_backtest(default_conf, contour, numres)
simple_backtest(default_conf, contour, numres, mocker)
# Test backtest using offline data (testdata directory)
def test_backtest_ticks(default_conf):
def test_backtest_ticks(default_conf, fee, mocker):
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
ticks = [1, 5]
fun = _BACKTESTING.populate_buy_trend
for tick in ticks:
backtest_conf = _make_backtest_conf(conf=default_conf)
results = _run_backtest_1(fun, backtest_conf)
fun = Backtesting(default_conf).populate_buy_trend
for _ in ticks:
backtest_conf = _make_backtest_conf(mocker, conf=default_conf)
backtesting = Backtesting(default_conf)
backtesting.populate_buy_trend = fun # Override
backtesting.populate_sell_trend = fun # Override
results = backtesting.backtest(backtest_conf)
assert not results.empty
def test_backtest_clash_buy_sell(default_conf):
# Override the default buy trend function in our DefaultStrategy
def test_backtest_clash_buy_sell(mocker, default_conf):
# Override the default buy trend function in our default_strategy
def fun(dataframe=None):
buy_value = 1
sell_value = 1
return _trend(dataframe, buy_value, sell_value)
backtest_conf = _make_backtest_conf(conf=default_conf)
results = _run_backtest_1(fun, backtest_conf)
backtest_conf = _make_backtest_conf(mocker, conf=default_conf)
backtesting = Backtesting(default_conf)
backtesting.populate_buy_trend = fun # Override
backtesting.populate_sell_trend = fun # Override
results = backtesting.backtest(backtest_conf)
assert results.empty
def test_backtest_only_sell(default_conf):
# Override the default buy trend function in our DefaultStrategy
def test_backtest_only_sell(mocker, default_conf):
# Override the default buy trend function in our default_strategy
def fun(dataframe=None):
buy_value = 0
sell_value = 1
return _trend(dataframe, buy_value, sell_value)
backtest_conf = _make_backtest_conf(conf=default_conf)
results = _run_backtest_1(fun, backtest_conf)
backtest_conf = _make_backtest_conf(mocker, conf=default_conf)
backtesting = Backtesting(default_conf)
backtesting.populate_buy_trend = fun # Override
backtesting.populate_sell_trend = fun # Override
results = backtesting.backtest(backtest_conf)
assert results.empty
def test_backtest_alternate_buy_sell(default_conf):
backtest_conf = _make_backtest_conf(conf=default_conf, pair='BTC_UNITEST')
results = _run_backtest_1(_trend_alternate, backtest_conf)
assert len(results) == 3
def test_backtest_alternate_buy_sell(default_conf, fee, mocker):
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
backtest_conf = _make_backtest_conf(mocker, conf=default_conf, pair='UNITTEST/BTC')
backtesting = Backtesting(default_conf)
backtesting.populate_buy_trend = _trend_alternate # Override
backtesting.populate_sell_trend = _trend_alternate # Override
results = backtesting.backtest(backtest_conf)
backtesting._store_backtest_result("test_.json", results)
assert len(results) == 4
# One trade was force-closed at the end
assert len(results.loc[results.open_at_end]) == 1
def test_backtest_record(default_conf, mocker):
def test_backtest_record(default_conf, fee, mocker):
names = []
records = []
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch(
'freqtrade.optimize.backtesting.file_dump_json',
new=lambda n, r: (names.append(n), records.append(r))
)
backtest_conf = _make_backtest_conf(
conf=default_conf,
pair='BTC_UNITEST',
record="trades"
)
results = _run_backtest_1(_trend_alternate, backtest_conf)
assert len(results) == 3
backtesting = Backtesting(default_conf)
results = pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
"UNITTEST/BTC", "UNITTEST/BTC"],
"profit_percent": [0.003312, 0.010801, 0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
"open_time": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_time": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_index": [1, 119, 153, 185],
"close_index": [118, 151, 184, 199],
"trade_duration": [123, 34, 31, 14]})
backtesting._store_backtest_result("backtest-result.json", results)
assert len(results) == 4
# Assert file_dump_json was only called once
assert names == ['backtest-result.json']
records = records[0]
# Ensure records are of correct type
assert len(records) == 3
# ('BTC_UNITEST', 0.00331158, '1510684320', '1510691700', 0, 117)
assert len(records) == 4
# ('UNITTEST/BTC', 0.00331158, '1510684320', '1510691700', 0, 117)
# Below follows just a typecheck of the schema/type of trade-records
oix = None
for (pair, profit, date_buy, date_sell, buy_index, dur) in records:
assert pair == 'BTC_UNITEST'
assert pair == 'UNITTEST/BTC'
isinstance(profit, float)
# FIX: buy/sell should be converted to ints
isinstance(date_buy, str)
@ -563,13 +654,15 @@ def test_backtest_record(default_conf, mocker):
def test_backtest_start_live(default_conf, mocker, caplog):
default_conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
mocker.patch('freqtrade.exchange.get_ticker_history',
new=lambda n, i: _load_pair_as_ticks(n, i))
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history',
new=lambda s, n, i: _load_pair_as_ticks(n, i))
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting._generate_text_table', MagicMock())
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(default_conf)
read_data=json.dumps(conf)
))
args = MagicMock()
@ -584,26 +677,29 @@ def test_backtest_start_live(default_conf, mocker, caplog):
args = [
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--datadir', 'freqtrade/tests/testdata',
'backtesting',
'--ticker-interval', '1',
'--ticker-interval', '1m',
'--live',
'--timerange', '-100'
'--timerange', '-100',
'--realistic-simulation'
]
args = get_args(args)
start(args)
# check the logs, that will contain the backtest result
exists = [
'Parameter -i/--ticker-interval detected ...',
'Using ticker_interval: 1 ...',
'Using ticker_interval: 1m ...',
'Parameter -l/--live detected ...',
'Using max_open_trades: 1 ...',
'Parameter --timerange detected: -100 ..',
'Parameter --datadir detected: freqtrade/tests/testdata ...',
'Parameter --timerange detected: -100 ...',
'Using data folder: freqtrade/tests/testdata ...',
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Downloading data for all pairs in whitelist ...',
'Measuring data from 2017-11-14T19:32:00+00:00 up to 2017-11-14T22:59:00+00:00 (0 days)..'
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Parameter --realistic-simulation detected ...'
]
for line in exists:
log_has(line, caplog.record_tuples)
assert log_has(line, caplog.record_tuples)

153
freqtrade/tests/optimize/test_hyperopt.py
View File

@ -1,20 +1,30 @@
# pragma pylint: disable=missing-docstring,W0212,C0103
import json
import os
import signal
from copy import deepcopy
from unittest.mock import MagicMock
import pandas as pd
import pytest
from freqtrade.optimize.__init__ import load_tickerdata_file
from freqtrade.optimize.hyperopt import Hyperopt, start
from freqtrade.strategy.resolver import StrategyResolver
from freqtrade.tests.conftest import default_conf, log_has
from freqtrade.tests.conftest import log_has, patch_exchange
from freqtrade.tests.optimize.test_backtesting import get_args
# Avoid to reinit the same object again and again
_HYPEROPT = Hyperopt(default_conf())
_HYPEROPT_INITIALIZED = False
_HYPEROPT = None
@pytest.fixture(scope='function')
def init_hyperopt(default_conf, mocker):
global _HYPEROPT_INITIALIZED, _HYPEROPT
if not _HYPEROPT_INITIALIZED:
patch_exchange(mocker)
_HYPEROPT = Hyperopt(default_conf)
_HYPEROPT_INITIALIZED = True
# Functions for recurrent object patching
@ -50,10 +60,13 @@ def test_start(mocker, default_conf, caplog) -> None:
Test start() function
"""
start_mock = MagicMock()
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(default_conf)
))
patch_exchange(mocker)
args = [
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
@ -74,7 +87,7 @@ def test_start(mocker, default_conf, caplog) -> None:
assert start_mock.call_count == 1
def test_loss_calculation_prefer_correct_trade_count() -> None:
def test_loss_calculation_prefer_correct_trade_count(init_hyperopt) -> None:
"""
Test Hyperopt.calculate_loss()
"""
@ -88,7 +101,7 @@ def test_loss_calculation_prefer_correct_trade_count() -> None:
assert under > correct
def test_loss_calculation_prefer_shorter_trades() -> None:
def test_loss_calculation_prefer_shorter_trades(init_hyperopt) -> None:
"""
Test Hyperopt.calculate_loss()
"""
@ -99,7 +112,7 @@ def test_loss_calculation_prefer_shorter_trades() -> None:
assert shorter < longer
def test_loss_calculation_has_limited_profit() -> None:
def test_loss_calculation_has_limited_profit(init_hyperopt) -> None:
hyperopt = _HYPEROPT
correct = hyperopt.calculate_loss(hyperopt.expected_max_profit, hyperopt.target_trades, 20)
@ -109,7 +122,7 @@ def test_loss_calculation_has_limited_profit() -> None:
assert under > correct
def test_log_results_if_loss_improves(capsys) -> None:
def test_log_results_if_loss_improves(init_hyperopt, capsys) -> None:
hyperopt = _HYPEROPT
hyperopt.current_best_loss = 2
hyperopt.log_results(
@ -124,7 +137,7 @@ def test_log_results_if_loss_improves(capsys) -> None:
assert ' 1/2: foo. Loss 1.00000'in out
def test_no_log_if_loss_does_not_improve(caplog) -> None:
def test_no_log_if_loss_does_not_improve(init_hyperopt, caplog) -> None:
hyperopt = _HYPEROPT
hyperopt.current_best_loss = 2
hyperopt.log_results(
@ -135,7 +148,7 @@ def test_no_log_if_loss_does_not_improve(caplog) -> None:
assert caplog.record_tuples == []
def test_fmin_best_results(mocker, default_conf, caplog) -> None:
def test_fmin_best_results(mocker, init_hyperopt, default_conf, caplog) -> None:
fmin_result = {
"macd_below_zero": 0,
"adx": 1,
@ -168,7 +181,7 @@ def test_fmin_best_results(mocker, default_conf, caplog) -> None:
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
patch_exchange(mocker)
StrategyResolver({'strategy': 'DefaultStrategy'})
hyperopt = Hyperopt(conf)
@ -203,7 +216,7 @@ def test_fmin_best_results(mocker, default_conf, caplog) -> None:
assert line in caplog.text
def test_fmin_throw_value_error(mocker, default_conf, caplog) -> None:
def test_fmin_throw_value_error(mocker, init_hyperopt, default_conf, caplog) -> None:
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.fmin', side_effect=ValueError())
@ -212,7 +225,8 @@ def test_fmin_throw_value_error(mocker, default_conf, caplog) -> None:
conf.update({'epochs': 1})
conf.update({'timerange': None})
conf.update({'spaces': 'all'})
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
patch_exchange(mocker)
StrategyResolver({'strategy': 'DefaultStrategy'})
hyperopt = Hyperopt(conf)
hyperopt.trials = create_trials(mocker)
@ -230,13 +244,12 @@ def test_fmin_throw_value_error(mocker, default_conf, caplog) -> None:
assert line in caplog.text
def test_resuming_previous_hyperopt_results_succeeds(mocker, default_conf) -> None:
def test_resuming_previous_hyperopt_results_succeeds(mocker, init_hyperopt, default_conf) -> None:
trials = create_trials(mocker)
conf = deepcopy(default_conf)
conf.update({'config': 'config.json.example'})
conf.update({'epochs': 1})
conf.update({'mongodb': False})
conf.update({'timerange': None})
conf.update({'spaces': 'all'})
@ -253,7 +266,7 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker, default_conf) -> No
mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
patch_exchange(mocker)
StrategyResolver({'strategy': 'DefaultStrategy'})
hyperopt = Hyperopt(conf)
@ -272,7 +285,7 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker, default_conf) -> No
assert total_tries == (current_tries + len(trials.results))
def test_save_trials_saves_trials(mocker, caplog) -> None:
def test_save_trials_saves_trials(mocker, init_hyperopt, caplog) -> None:
create_trials(mocker)
mock_dump = mocker.patch('freqtrade.optimize.hyperopt.pickle.dump', return_value=None)
@ -281,22 +294,24 @@ def test_save_trials_saves_trials(mocker, caplog) -> None:
hyperopt.save_trials()
trials_file = os.path.join('freqtrade', 'tests', 'optimize', 'ut_trials.pickle')
assert log_has(
'Saving Trials to \'freqtrade/tests/optimize/ut_trials.pickle\'',
'Saving Trials to \'{}\''.format(trials_file),
caplog.record_tuples
)
mock_dump.assert_called_once()
def test_read_trials_returns_trials_file(mocker, caplog) -> None:
def test_read_trials_returns_trials_file(mocker, init_hyperopt, caplog) -> None:
trials = create_trials(mocker)
mock_load = mocker.patch('freqtrade.optimize.hyperopt.pickle.load', return_value=trials)
mock_open = mocker.patch('freqtrade.optimize.hyperopt.open', return_value=mock_load)
hyperopt = _HYPEROPT
hyperopt_trial = hyperopt.read_trials()
trials_file = os.path.join('freqtrade', 'tests', 'optimize', 'ut_trials.pickle')
assert log_has(
'Reading Trials from \'freqtrade/tests/optimize/ut_trials.pickle\'',
'Reading Trials from \'{}\''.format(trials_file),
caplog.record_tuples
)
assert hyperopt_trial == trials
@ -304,7 +319,7 @@ def test_read_trials_returns_trials_file(mocker, caplog) -> None:
mock_load.assert_called_once()
def test_roi_table_generation() -> None:
def test_roi_table_generation(init_hyperopt) -> None:
params = {
'roi_t1': 5,
'roi_t2': 10,
@ -318,16 +333,16 @@ def test_roi_table_generation() -> None:
assert hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
def test_start_calls_fmin(mocker, default_conf) -> None:
def test_start_calls_fmin(mocker, init_hyperopt, default_conf) -> None:
trials = create_trials(mocker)
mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
patch_exchange(mocker)
mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
conf = deepcopy(default_conf)
conf.update({'config': 'config.json.example'})
conf.update({'epochs': 1})
conf.update({'mongodb': False})
conf.update({'timerange': None})
conf.update({'spaces': 'all'})
@ -339,50 +354,37 @@ def test_start_calls_fmin(mocker, default_conf) -> None:
mock_fmin.assert_called_once()
def test_start_uses_mongotrials(mocker, default_conf) -> None:
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
mock_mongotrials = mocker.patch(
'freqtrade.optimize.hyperopt.MongoTrials',
return_value=create_trials(mocker)
)
conf = deepcopy(default_conf)
conf.update({'config': 'config.json.example'})
conf.update({'epochs': 1})
conf.update({'mongodb': True})
conf.update({'timerange': None})
conf.update({'spaces': 'all'})
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
hyperopt = Hyperopt(conf)
hyperopt.tickerdata_to_dataframe = MagicMock()
hyperopt.start()
mock_mongotrials.assert_called_once()
mock_fmin.assert_called_once()
# test log_trials_result
# test buy_strategy_generator def populate_buy_trend
# test optimizer if 'ro_t1' in params
def test_format_results():
def test_format_results(init_hyperopt):
"""
Test Hyperopt.format_results()
"""
# Test with BTC as stake_currency
trades = [
('BTC_ETH', 2, 2, 123),
('BTC_LTC', 1, 1, 123),
('BTC_XRP', -1, -2, -246)
('ETH/BTC', 2, 2, 123),
('LTC/BTC', 1, 1, 123),
('XPR/BTC', -1, -2, -246)
]
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
df = pd.DataFrame.from_records(trades, columns=labels)
x = Hyperopt.format_results(df)
assert x.find(' 66.67%')
result = _HYPEROPT.format_results(df)
assert result.find(' 66.67%')
assert result.find('Total profit 1.00000000 BTC')
assert result.find('2.0000Σ %')
# Test with EUR as stake_currency
trades = [
('ETH/EUR', 2, 2, 123),
('LTC/EUR', 1, 1, 123),
('XPR/EUR', -1, -2, -246)
]
df = pd.DataFrame.from_records(trades, columns=labels)
result = _HYPEROPT.format_results(df)
assert result.find('Total profit 1.00000000 EUR')
def test_signal_handler(mocker):
def test_signal_handler(mocker, init_hyperopt):
"""
Test Hyperopt.signal_handler()
"""
@ -392,11 +394,11 @@ def test_signal_handler(mocker):
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.log_trials_result', m)
hyperopt = _HYPEROPT
hyperopt.signal_handler(9, None)
hyperopt.signal_handler(signal.SIGTERM, None)
assert m.call_count == 3
def test_has_space():
def test_has_space(init_hyperopt):
"""
Test Hyperopt.has_space() method
"""
@ -409,14 +411,14 @@ def test_has_space():
assert _HYPEROPT.has_space('buy')
def test_populate_indicators() -> None:
def test_populate_indicators(init_hyperopt) -> None:
"""
Test Hyperopt.populate_indicators()
"""
tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
tickerlist = {'BTC_UNITEST': tick}
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
tickerlist = {'UNITTEST/BTC': tick}
dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
dataframe = _HYPEROPT.populate_indicators(dataframes['BTC_UNITEST'])
dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'])
# Check if some indicators are generated. We will not test all of them
assert 'adx' in dataframe
@ -424,14 +426,14 @@ def test_populate_indicators() -> None:
assert 'cci' in dataframe
def test_buy_strategy_generator() -> None:
def test_buy_strategy_generator(init_hyperopt) -> None:
"""
Test Hyperopt.buy_strategy_generator()
"""
tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
tickerlist = {'BTC_UNITEST': tick}
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
tickerlist = {'UNITTEST/BTC': tick}
dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
dataframe = _HYPEROPT.populate_indicators(dataframes['BTC_UNITEST'])
dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'])
populate_buy_trend = _HYPEROPT.buy_strategy_generator(
{
@ -481,7 +483,7 @@ def test_buy_strategy_generator() -> None:
assert 1 in result['buy']
def test_generate_optimizer(mocker, default_conf) -> None:
def test_generate_optimizer(mocker, init_hyperopt, default_conf) -> None:
"""
Test Hyperopt.generate_optimizer() function
"""
@ -491,15 +493,16 @@ def test_generate_optimizer(mocker, default_conf) -> None:
conf.update({'spaces': 'all'})
trades = [
('BTC_POWR', 0.023117, 0.000233, 100)
('POWR/BTC', 0.023117, 0.000233, 100)
]
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
backtest_result = pd.DataFrame.from_records(trades, columns=labels)
mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.backtest',
MagicMock(return_value=backtest_result)
)
patch_exchange(mocker)
optimizer_param = {
'adx': {'enabled': False},

16
freqtrade/tests/optimize/test_hyperopt_config.py
View File

@ -1,16 +0,0 @@
# pragma pylint: disable=missing-docstring,W0212
from user_data.hyperopt_conf import hyperopt_optimize_conf
def test_hyperopt_optimize_conf():
hyperopt_conf = hyperopt_optimize_conf()
assert "max_open_trades" in hyperopt_conf
assert "stake_currency" in hyperopt_conf
assert "stake_amount" in hyperopt_conf
assert "minimal_roi" in hyperopt_conf
assert "stoploss" in hyperopt_conf
assert "bid_strategy" in hyperopt_conf
assert "exchange" in hyperopt_conf
assert "pair_whitelist" in hyperopt_conf['exchange']

288
freqtrade/tests/optimize/test_optimize.py
View File

@ -3,15 +3,18 @@
import json
import os
import uuid
import arrow
from shutil import copyfile
from freqtrade import optimize
from freqtrade.misc import file_dump_json
from freqtrade.optimize.__init__ import make_testdata_path, download_pairs, \
download_backtesting_testdata, load_tickerdata_file, trim_tickerlist
from freqtrade.tests.conftest import log_has
download_backtesting_testdata, load_tickerdata_file, trim_tickerlist, \
load_cached_data_for_updating
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has, get_patched_exchange
# Change this if modifying BTC_UNITEST testdatafile
# Change this if modifying UNITTEST/BTC testdatafile
_BTC_UNITTEST_LENGTH = 13681
@ -46,31 +49,30 @@ def _clean_test_file(file: str) -> None:
os.rename(file_swp, file)
def test_load_data_30min_ticker(ticker_history, mocker, caplog) -> None:
def test_load_data_30min_ticker(ticker_history, mocker, caplog, default_conf) -> None:
"""
Test load_data() with 30 min ticker
"""
mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
file = 'freqtrade/tests/testdata/BTC_UNITTEST-30.json'
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'UNITTEST_BTC-30m.json')
_backup_file(file, copy_file=True)
optimize.load_data(None, pairs=['BTC_UNITTEST'], ticker_interval=30)
optimize.load_data(None, pairs=['UNITTEST/BTC'], ticker_interval='30m')
assert os.path.isfile(file) is True
assert not log_has('Download the pair: "BTC_ETH", Interval: 30 min', caplog.record_tuples)
assert not log_has('Download the pair: "UNITTEST/BTC", Interval: 30m', caplog.record_tuples)
_clean_test_file(file)
def test_load_data_5min_ticker(ticker_history, mocker, caplog) -> None:
def test_load_data_5min_ticker(ticker_history, mocker, caplog, default_conf) -> None:
"""
Test load_data() with 5 min ticker
"""
mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
file = 'freqtrade/tests/testdata/BTC_ETH-5.json'
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'UNITTEST_BTC-5m.json')
_backup_file(file, copy_file=True)
optimize.load_data(None, pairs=['BTC_ETH'], ticker_interval=5)
optimize.load_data(None, pairs=['UNITTEST/BTC'], ticker_interval='5m')
assert os.path.isfile(file) is True
assert not log_has('Download the pair: "BTC_ETH", Interval: 5 min', caplog.record_tuples)
assert not log_has('Download the pair: "UNITTEST/BTC", Interval: 5m', caplog.record_tuples)
_clean_test_file(file)
@ -78,27 +80,43 @@ def test_load_data_1min_ticker(ticker_history, mocker, caplog) -> None:
"""
Test load_data() with 1 min ticker
"""
mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
file = 'freqtrade/tests/testdata/BTC_ETH-1.json'
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'UNITTEST_BTC-1m.json')
_backup_file(file, copy_file=True)
optimize.load_data(None, ticker_interval=1, pairs=['BTC_ETH'])
optimize.load_data(None, ticker_interval='1m', pairs=['UNITTEST/BTC'])
assert os.path.isfile(file) is True
assert not log_has('Download the pair: "BTC_ETH", Interval: 1 min', caplog.record_tuples)
assert not log_has('Download the pair: "UNITTEST/BTC", Interval: 1m', caplog.record_tuples)
_clean_test_file(file)
def test_load_data_with_new_pair_1min(ticker_history, mocker, caplog) -> None:
def test_load_data_with_new_pair_1min(ticker_history, mocker, caplog, default_conf) -> None:
"""
Test load_data() with 1 min ticker
"""
mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
exchange = get_patched_exchange(mocker, default_conf)
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-1m.json')
file = 'freqtrade/tests/testdata/BTC_MEME-1.json'
_backup_file(file)
optimize.load_data(None, ticker_interval=1, pairs=['BTC_MEME'])
# do not download a new pair if refresh_pairs isn't set
optimize.load_data(None,
ticker_interval='1m',
refresh_pairs=False,
pairs=['MEME/BTC'])
assert os.path.isfile(file) is False
assert log_has('No data for pair: "MEME/BTC", Interval: 1m. '
'Use --refresh-pairs-cached to download the data',
caplog.record_tuples)
# download a new pair if refresh_pairs is set
optimize.load_data(None,
ticker_interval='1m',
refresh_pairs=True,
exchange=exchange,
pairs=['MEME/BTC'])
assert os.path.isfile(file) is True
assert log_has('Download the pair: "BTC_MEME", Interval: 1 min', caplog.record_tuples)
assert log_has('Download the pair: "MEME/BTC", Interval: 1m', caplog.record_tuples)
_clean_test_file(file)
@ -106,13 +124,13 @@ def test_testdata_path() -> None:
assert os.path.join('freqtrade', 'tests', 'testdata') in make_testdata_path(None)
def test_download_pairs(ticker_history, mocker) -> None:
mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
file1_1 = 'freqtrade/tests/testdata/BTC_MEME-1.json'
file1_5 = 'freqtrade/tests/testdata/BTC_MEME-5.json'
file2_1 = 'freqtrade/tests/testdata/BTC_CFI-1.json'
file2_5 = 'freqtrade/tests/testdata/BTC_CFI-5.json'
def test_download_pairs(ticker_history, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
exchange = get_patched_exchange(mocker, default_conf)
file1_1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-1m.json')
file1_5 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-5m.json')
file2_1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'CFI_BTC-1m.json')
file2_5 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'CFI_BTC-5m.json')
_backup_file(file1_1)
_backup_file(file1_5)
@ -122,7 +140,8 @@ def test_download_pairs(ticker_history, mocker) -> None:
assert os.path.isfile(file1_1) is False
assert os.path.isfile(file2_1) is False
assert download_pairs(None, pairs=['BTC-MEME', 'BTC-CFI'], ticker_interval=1) is True
assert download_pairs(None, exchange,
pairs=['MEME/BTC', 'CFI/BTC'], ticker_interval='1m') is True
assert os.path.isfile(file1_1) is True
assert os.path.isfile(file2_1) is True
@ -134,7 +153,8 @@ def test_download_pairs(ticker_history, mocker) -> None:
assert os.path.isfile(file1_5) is False
assert os.path.isfile(file2_5) is False
assert download_pairs(None, pairs=['BTC-MEME', 'BTC-CFI'], ticker_interval=5) is True
assert download_pairs(None, exchange,
pairs=['MEME/BTC', 'CFI/BTC'], ticker_interval='5m') is True
assert os.path.isfile(file1_5) is True
assert os.path.isfile(file2_5) is True
@ -144,91 +164,201 @@ def test_download_pairs(ticker_history, mocker) -> None:
_clean_test_file(file2_5)
def test_download_pairs_exception(ticker_history, mocker, caplog) -> None:
mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
def test_load_cached_data_for_updating(mocker) -> None:
datadir = os.path.join(os.path.dirname(__file__), '..', 'testdata')
test_data = None
test_filename = os.path.join(datadir, 'UNITTEST_BTC-1m.json')
with open(test_filename, "rt") as file:
test_data = json.load(file)
# change now time to test 'line' cases
# now = last cached item + 1 hour
now_ts = test_data[-1][0] / 1000 + 60 * 60
mocker.patch('arrow.utcnow', return_value=arrow.get(now_ts))
# timeframe starts earlier than the cached data
# should fully update data
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == []
assert start_ts == test_data[0][0] - 1000
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 120
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
TimeRange(None, 'line', 0, -num_lines))
assert data == []
assert start_ts < test_data[0][0] - 1
# timeframe starts in the center of the cached data
# should return the chached data w/o the last item
timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# timeframe starts after the chached data
# should return the chached data w/o the last item
timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# same with 'line' timeframe
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# no timeframe is set
# should return the chached data w/o the last item
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# no datafile exist
# should return timestamp start time
timerange = TimeRange('date', None, now_ts - 10000, 0)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
assert data == []
assert start_ts == (now_ts - 10000) * 1000
# same with 'line' timeframe
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
assert data == []
assert start_ts == (now_ts - num_lines * 60) * 1000
# no datafile exist, no timeframe is set
# should return an empty array and None
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
None)
assert data == []
assert start_ts is None
def test_download_pairs_exception(ticker_history, mocker, caplog, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
mocker.patch('freqtrade.optimize.__init__.download_backtesting_testdata',
side_effect=BaseException('File Error'))
exchange = get_patched_exchange(mocker, default_conf)
file1_1 = 'freqtrade/tests/testdata/BTC_MEME-1.json'
file1_5 = 'freqtrade/tests/testdata/BTC_MEME-5.json'
file1_1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-1m.json')
file1_5 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-5m.json')
_backup_file(file1_1)
_backup_file(file1_5)
download_pairs(None, pairs=['BTC-MEME'], ticker_interval=1)
download_pairs(None, exchange, pairs=['MEME/BTC'], ticker_interval='1m')
# clean files freshly downloaded
_clean_test_file(file1_1)
_clean_test_file(file1_5)
assert log_has('Failed to download the pair: "BTC-MEME", Interval: 1 min', caplog.record_tuples)
assert log_has('Failed to download the pair: "MEME/BTC", Interval: 1m', caplog.record_tuples)
def test_download_backtesting_testdata(ticker_history, mocker) -> None:
mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=ticker_history)
def test_download_backtesting_testdata(ticker_history, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=ticker_history)
exchange = get_patched_exchange(mocker, default_conf)
# Download a 1 min ticker file
file1 = 'freqtrade/tests/testdata/BTC_XEL-1.json'
file1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'XEL_BTC-1m.json')
_backup_file(file1)
download_backtesting_testdata(None, pair="BTC-XEL", interval=1)
download_backtesting_testdata(None, exchange, pair="XEL/BTC", tick_interval='1m')
assert os.path.isfile(file1) is True
_clean_test_file(file1)
# Download a 5 min ticker file
file2 = 'freqtrade/tests/testdata/BTC_STORJ-5.json'
file2 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'STORJ_BTC-5m.json')
_backup_file(file2)
download_backtesting_testdata(None, pair="BTC-STORJ", interval=5)
download_backtesting_testdata(None, exchange, pair="STORJ/BTC", tick_interval='5m')
assert os.path.isfile(file2) is True
_clean_test_file(file2)
def test_download_backtesting_testdata2(mocker) -> None:
tick = [{'T': 'bar'}, {'T': 'foo'}]
def test_download_backtesting_testdata2(mocker, default_conf) -> None:
tick = [
[1509836520000, 0.00162008, 0.00162008, 0.00162008, 0.00162008, 108.14853839],
[1509836580000, 0.00161, 0.00161, 0.00161, 0.00161, 82.390199]
]
json_dump_mock = mocker.patch('freqtrade.misc.file_dump_json', return_value=None)
mocker.patch('freqtrade.optimize.__init__.get_ticker_history', return_value=tick)
download_backtesting_testdata(None, pair="BTC-UNITEST", interval=1)
download_backtesting_testdata(None, pair="BTC-UNITEST", interval=3)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=tick)
exchange = get_patched_exchange(mocker, default_conf)
download_backtesting_testdata(None, exchange, pair="UNITTEST/BTC", tick_interval='1m')
download_backtesting_testdata(None, exchange, pair="UNITTEST/BTC", tick_interval='3m')
assert json_dump_mock.call_count == 2
def test_load_tickerdata_file() -> None:
# 7 does not exist in either format.
assert not load_tickerdata_file(None, 'BTC_UNITEST', 7)
assert not load_tickerdata_file(None, 'UNITTEST/BTC', '7m')
# 1 exists only as a .json
tickerdata = load_tickerdata_file(None, 'BTC_UNITEST', 1)
tickerdata = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
assert _BTC_UNITTEST_LENGTH == len(tickerdata)
# 8 .json is empty and will fail if it's loaded. .json.gz is a copy of 1.json
tickerdata = load_tickerdata_file(None, 'BTC_UNITEST', 8)
tickerdata = load_tickerdata_file(None, 'UNITTEST/BTC', '8m')
assert _BTC_UNITTEST_LENGTH == len(tickerdata)
def test_init(default_conf, mocker) -> None:
conf = {'exchange': {'pair_whitelist': []}}
mocker.patch('freqtrade.optimize.hyperopt_optimize_conf', return_value=conf)
exchange = get_patched_exchange(mocker, default_conf)
assert {} == optimize.load_data(
'',
exchange=exchange,
pairs=[],
refresh_pairs=True,
ticker_interval=int(default_conf['ticker_interval'])
ticker_interval=default_conf['ticker_interval']
)
def test_trim_tickerlist() -> None:
with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'UNITTEST_BTC-1m.json')
with open(file) as data_file:
ticker_list = json.load(data_file)
ticker_list_len = len(ticker_list)
# Test the pattern ^(-\d+)$
# This pattern remove X element from the beginning
timerange = ((None, 'line'), None, 5)
# This pattern uses the latest N elements
timerange = TimeRange(None, 'line', 0, -5)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
assert ticker_list_len == ticker_len + 5
assert ticker_len == 5
assert ticker_list[0] is not ticker[0] # The first element should be different
assert ticker_list[-1] is ticker[-1] # The last element must be the same
# Test the pattern ^(\d+)-$
# This pattern keep X element from the end
timerange = (('line', None), 5, None)
timerange = TimeRange('line', None, 5, 0)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -238,7 +368,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d+)-(\d+)$
# This pattern extract a window
timerange = (('index', 'index'), 5, 10)
timerange = TimeRange('index', 'index', 5, 10)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -247,9 +377,40 @@ def test_trim_tickerlist() -> None:
assert ticker_list[5] is ticker[0] # The list starts at the index 5
assert ticker_list[9] is ticker[-1] # The list ends at the index 9 (5 elements)
# Test the pattern ^(\d{8})-(\d{8})$
# This pattern extract a window between the dates
timerange = TimeRange('date', 'date', ticker_list[5][0] / 1000, ticker_list[10][0] / 1000 - 1)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
assert ticker_len == 5
assert ticker_list[0] is not ticker[0] # The first element should be different
assert ticker_list[5] is ticker[0] # The list starts at the index 5
assert ticker_list[9] is ticker[-1] # The list ends at the index 9 (5 elements)
# Test the pattern ^-(\d{8})$
# This pattern extracts elements from the start to the date
timerange = TimeRange(None, 'date', 0, ticker_list[10][0] / 1000 - 1)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
assert ticker_len == 10
assert ticker_list[0] is ticker[0] # The start of the list is included
assert ticker_list[9] is ticker[-1] # The element 10 is not included
# Test the pattern ^(\d{8})-$
# This pattern extracts elements from the date to now
timerange = TimeRange('date', None, ticker_list[10][0] / 1000 - 1, None)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
assert ticker_len == ticker_list_len - 10
assert ticker_list[10] is ticker[0] # The first element is element #10
assert ticker_list[-1] is ticker[-1] # The last element is the same
# Test a wrong pattern
# This pattern must return the list unchanged
timerange = ((None, None), None, 5)
timerange = TimeRange(None, None, None, 5)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -261,7 +422,8 @@ def test_file_dump_json() -> None:
Test file_dump_json()
:return: None
"""
file = 'freqtrade/tests/testdata/test_{id}.json'.format(id=str(uuid.uuid4()))
file = os.path.join(os.path.dirname(__file__), '..', 'testdata',
'test_{id}.json'.format(id=str(uuid.uuid4())))
data = {'bar': 'foo'}
# check the file we will create does not exist

372
freqtrade/tests/rpc/test_rpc.py
View File

@ -7,11 +7,11 @@ Unit test file for rpc/rpc.py
from datetime import datetime
from unittest.mock import MagicMock
from sqlalchemy import create_engine
import pytest
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade
from freqtrade.rpc.rpc import RPC
from freqtrade.rpc.rpc import RPC, RPCException
from freqtrade.state import State
from freqtrade.tests.test_freqtradebot import patch_get_signal, patch_coinmarketcap
@ -25,41 +25,40 @@ def prec_satoshi(a, b) -> float:
# Unit tests
def test_rpc_trade_status(default_conf, ticker, mocker) -> None:
def test_rpc_trade_status(default_conf, ticker, fee, markets, mocker) -> None:
"""
Test rpc_trade_status() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
(error, result) = rpc.rpc_trade_status()
assert error
assert 'trader is not running' in result
with pytest.raises(RPCException, match=r'.*trader is not running*'):
rpc._rpc_trade_status()
freqtradebot.state = State.RUNNING
(error, result) = rpc.rpc_trade_status()
assert error
assert 'no active trade' in result
with pytest.raises(RPCException, match=r'.*no active trade*'):
rpc._rpc_trade_status()
freqtradebot.create_trade()
(error, result) = rpc.rpc_trade_status()
assert not error
trade = result[0]
trades = rpc._rpc_trade_status()
trade = trades[0]
result_message = [
'*Trade ID:* `1`\n'
'*Current Pair:* '
'[BTC_ETH](https://www.bittrex.com/Market/Index?MarketName=BTC-ETH)\n'
'[ETH/BTC](https://bittrex.com/Market/Index?MarketName=BTC-ETH)\n'
'*Open Since:* `just now`\n'
'*Amount:* `90.99181074`\n'
'*Open Rate:* `0.00001099`\n'
@ -67,60 +66,62 @@ def test_rpc_trade_status(default_conf, ticker, mocker) -> None:
'*Current Rate:* `0.00001098`\n'
'*Close Profit:* `None`\n'
'*Current Profit:* `-0.59%`\n'
'*Open Order:* `(LIMIT_BUY rem=0.00000000)`'
'*Open Order:* `(limit buy rem=0.00000000)`'
]
assert result == result_message
assert trade.find('[BTC_ETH]') >= 0
assert trades == result_message
assert trade.find('[ETH/BTC]') >= 0
def test_rpc_status_table(default_conf, ticker, mocker) -> None:
def test_rpc_status_table(default_conf, ticker, fee, markets, mocker) -> None:
"""
Test rpc_status_table() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
(error, result) = rpc.rpc_status_table()
assert error
assert '*Status:* `trader is not running`' in result
with pytest.raises(RPCException, match=r'.*\*Status:\* `trader is not running``*'):
rpc._rpc_status_table()
freqtradebot.state = State.RUNNING
(error, result) = rpc.rpc_status_table()
assert error
assert '*Status:* `no active order`' in result
with pytest.raises(RPCException, match=r'.*\*Status:\* `no active order`*'):
rpc._rpc_status_table()
freqtradebot.create_trade()
(error, result) = rpc.rpc_status_table()
result = rpc._rpc_status_table()
assert 'just now' in result['Since'].all()
assert 'BTC_ETH' in result['Pair'].all()
assert 'ETH/BTC' in result['Pair'].all()
assert '-0.59%' in result['Profit'].all()
def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_sell_order, mocker)\
-> None:
def test_rpc_daily_profit(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
"""
Test rpc_daily_profit() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
@ -139,8 +140,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_s
# Try valid data
update.message.text = '/daily 2'
(error, days) = rpc.rpc_daily_profit(7, stake_currency, fiat_display_currency)
assert not error
days = rpc._rpc_daily_profit(7, stake_currency, fiat_display_currency)
assert len(days) == 7
for day in days:
# [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
@ -153,13 +153,12 @@ def test_rpc_daily_profit(default_conf, update, ticker, limit_buy_order, limit_s
assert str(days[0][0]) == str(datetime.utcnow().date())
# Try invalid data
(error, days) = rpc.rpc_daily_profit(0, stake_currency, fiat_display_currency)
assert error
assert days.find('must be an integer greater than 0') >= 0
with pytest.raises(RPCException, match=r'.*must be an integer greater than 0*'):
rpc._rpc_daily_profit(0, stake_currency, fiat_display_currency)
def test_rpc_trade_statistics(
default_conf, ticker, ticker_sell_up, limit_buy_order, limit_sell_order, mocker) -> None:
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
"""
Test rpc_trade_statistics() method
"""
@ -169,22 +168,23 @@ def test_rpc_trade_statistics(
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
rpc = RPC(freqtradebot)
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
assert error
assert stats.find('no closed trade') >= 0
with pytest.raises(RPCException, match=r'.*no closed trade*'):
rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
# Create some test data
freqtradebot.create_trade()
@ -194,7 +194,7 @@ def test_rpc_trade_statistics(
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker_sell_up
)
@ -202,26 +202,40 @@ def test_rpc_trade_statistics(
trade.close_date = datetime.utcnow()
trade.is_open = False
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
assert not error
freqtradebot.create_trade()
trade = Trade.query.first()
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker_sell_up
)
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
assert prec_satoshi(stats['profit_closed_percent'], 6.2)
assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
assert prec_satoshi(stats['profit_all_coin'], 6.217e-05)
assert prec_satoshi(stats['profit_all_percent'], 6.2)
assert prec_satoshi(stats['profit_all_fiat'], 0.93255)
assert stats['trade_count'] == 1
assert prec_satoshi(stats['profit_all_coin'], 5.632e-05)
assert prec_satoshi(stats['profit_all_percent'], 2.81)
assert prec_satoshi(stats['profit_all_fiat'], 0.8448)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] == '0:00:00'
assert stats['best_pair'] == 'BTC_ETH'
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
# Test that rpc_trade_statistics can handle trades that lacks
# trade.open_rate (it is set to None)
def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_up, limit_buy_order,
limit_sell_order):
def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee, markets,
ticker_sell_up, limit_buy_order, limit_sell_order):
"""
Test rpc_trade_statistics() method
"""
@ -231,14 +245,16 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_u
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
stake_currency = default_conf['stake_currency']
fiat_display_currency = default_conf['fiat_display_currency']
@ -251,9 +267,10 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_u
trade.update(limit_buy_order)
# Update the ticker with a market going up
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker_sell_up
get_ticker=ticker_sell_up,
get_fee=fee
)
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
@ -262,8 +279,7 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_u
for trade in Trade.query.order_by(Trade.id).all():
trade.open_rate = None
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
assert not error
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 0)
assert prec_satoshi(stats['profit_closed_percent'], 0)
assert prec_satoshi(stats['profit_closed_fiat'], 0)
@ -274,7 +290,7 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, ticker_sell_u
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] == '0:00:00'
assert stats['best_pair'] == 'BTC_ETH'
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
@ -282,22 +298,18 @@ def test_rpc_balance_handle(default_conf, mocker):
"""
Test rpc_balance() method
"""
mock_balance = [
{
'Currency': 'BTC',
'Balance': 10.0,
'Available': 12.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
mock_balance = {
'BTC': {
'free': 10.0,
'total': 12.0,
'used': 2.0,
},
{
'Currency': 'ETH',
'Balance': 0.0,
'Available': 0.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
'ETH': {
'free': 0.0,
'total': 0.0,
'used': 0.0,
}
]
}
patch_get_signal(mocker, (True, False))
mocker.patch.multiple(
@ -305,28 +317,26 @@ def test_rpc_balance_handle(default_conf, mocker):
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_balances=MagicMock(return_value=mock_balance)
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
(error, res) = rpc.rpc_balance(default_conf['fiat_display_currency'])
assert not error
(trade, x, y, z) = res
assert prec_satoshi(x, 10)
assert prec_satoshi(z, 150000)
assert 'USD' in y
assert len(trade) == 1
assert 'BTC' in trade[0]['currency']
assert prec_satoshi(trade[0]['available'], 12)
assert prec_satoshi(trade[0]['balance'], 10)
assert prec_satoshi(trade[0]['pending'], 0)
assert prec_satoshi(trade[0]['est_btc'], 10)
output, total, symbol, value = rpc._rpc_balance(default_conf['fiat_display_currency'])
assert prec_satoshi(total, 12)
assert prec_satoshi(value, 180000)
assert 'USD' in symbol
assert len(output) == 1
assert 'BTC' in output[0]['currency']
assert prec_satoshi(output[0]['available'], 10)
assert prec_satoshi(output[0]['balance'], 12)
assert prec_satoshi(output[0]['pending'], 2)
assert prec_satoshi(output[0]['est_btc'], 12)
def test_rpc_start(mocker, default_conf) -> None:
@ -335,24 +345,22 @@ def test_rpc_start(mocker, default_conf) -> None:
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=MagicMock()
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
(error, result) = rpc.rpc_start()
assert not error
result = rpc._rpc_start()
assert '`Starting trader ...`' in result
assert freqtradebot.state == State.RUNNING
(error, result) = rpc.rpc_start()
assert error
result = rpc._rpc_start()
assert '*Status:* `already running`' in result
assert freqtradebot.state == State.RUNNING
@ -363,134 +371,147 @@ def test_rpc_stop(mocker, default_conf) -> None:
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=MagicMock()
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.RUNNING
(error, result) = rpc.rpc_stop()
assert not error
result = rpc._rpc_stop()
assert '`Stopping trader ...`' in result
assert freqtradebot.state == State.STOPPED
(error, result) = rpc.rpc_stop()
assert error
result = rpc._rpc_stop()
assert '*Status:* `already stopped`' in result
assert freqtradebot.state == State.STOPPED
def test_rpc_forcesell(default_conf, ticker, mocker) -> None:
def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
"""
Test rpc_forcesell() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
cancel_order_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker,
cancel_order=cancel_order_mock,
get_order=MagicMock(
return_value={
'closed': True,
'type': 'LIMIT_BUY',
'status': 'closed',
'type': 'limit',
'side': 'buy'
}
)
),
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
(error, res) = rpc.rpc_forcesell(None)
assert error
assert res == '`trader is not running`'
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
rpc._rpc_forcesell(None)
freqtradebot.state = State.RUNNING
(error, res) = rpc.rpc_forcesell(None)
assert error
assert res == 'Invalid argument.'
with pytest.raises(RPCException, match=r'.*Invalid argument.*'):
rpc._rpc_forcesell(None)
(error, res) = rpc.rpc_forcesell('all')
assert not error
assert res == ''
rpc._rpc_forcesell('all')
freqtradebot.create_trade()
(error, res) = rpc.rpc_forcesell('all')
assert not error
assert res == ''
rpc._rpc_forcesell('all')
(error, res) = rpc.rpc_forcesell('1')
assert not error
assert res == ''
rpc._rpc_forcesell('1')
freqtradebot.state = State.STOPPED
(error, res) = rpc.rpc_forcesell(None)
assert error
assert res == '`trader is not running`'
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
rpc._rpc_forcesell(None)
(error, res) = rpc.rpc_forcesell('all')
assert error
assert res == '`trader is not running`'
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
rpc._rpc_forcesell('all')
freqtradebot.state = State.RUNNING
assert cancel_order_mock.call_count == 0
# make an limit-buy open trade
trade = Trade.query.filter(Trade.id == '1').first()
filled_amount = trade.amount / 2
mocker.patch(
'freqtrade.freqtradebot.exchange.get_order',
'freqtrade.exchange.Exchange.get_order',
return_value={
'closed': None,
'type': 'LIMIT_BUY'
'status': 'open',
'type': 'limit',
'side': 'buy',
'filled': filled_amount
}
)
# check that the trade is called, which is done
# by ensuring exchange.cancel_order is called
(error, res) = rpc.rpc_forcesell('1')
assert not error
assert res == ''
# check that the trade is called, which is done by ensuring exchange.cancel_order is called
# and trade amount is updated
rpc._rpc_forcesell('1')
assert cancel_order_mock.call_count == 1
assert trade.amount == filled_amount
freqtradebot.create_trade()
trade = Trade.query.filter(Trade.id == '2').first()
amount = trade.amount
# make an limit-buy open trade, if there is no 'filled', don't sell it
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
return_value={
'status': 'open',
'type': 'limit',
'side': 'buy',
'filled': None
}
)
# check that the trade is called, which is done by ensuring exchange.cancel_order is called
rpc._rpc_forcesell('2')
assert cancel_order_mock.call_count == 2
assert trade.amount == amount
freqtradebot.create_trade()
# make an limit-sell open trade
mocker.patch(
'freqtrade.freqtradebot.exchange.get_order',
'freqtrade.exchange.Exchange.get_order',
return_value={
'closed': None,
'type': 'LIMIT_SELL'
'status': 'open',
'type': 'limit',
'side': 'sell'
}
)
(error, res) = rpc.rpc_forcesell('2')
assert not error
assert res == ''
rpc._rpc_forcesell('3')
# status quo, no exchange calls
assert cancel_order_mock.call_count == 1
assert cancel_order_mock.call_count == 2
def test_performance_handle(default_conf, ticker, limit_buy_order,
limit_sell_order, mocker) -> None:
def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
limit_sell_order, markets, mocker) -> None:
"""
Test rpc_performance() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_balances=MagicMock(return_value=ticker),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
# Create some test data
@ -506,39 +527,38 @@ def test_performance_handle(default_conf, ticker, limit_buy_order,
trade.close_date = datetime.utcnow()
trade.is_open = False
(error, res) = rpc.rpc_performance()
assert not error
res = rpc._rpc_performance()
assert len(res) == 1
assert res[0]['pair'] == 'BTC_ETH'
assert res[0]['pair'] == 'ETH/BTC'
assert res[0]['count'] == 1
assert prec_satoshi(res[0]['profit'], 6.2)
def test_rpc_count(mocker, default_conf, ticker) -> None:
def test_rpc_count(mocker, default_conf, ticker, fee, markets) -> None:
"""
Test rpc_count() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_balances=MagicMock(return_value=ticker),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
(error, trades) = rpc.rpc_count()
trades = rpc._rpc_count()
nb_trades = len(trades)
assert not error
assert nb_trades == 0
# Create some test data
freqtradebot.create_trade()
(error, trades) = rpc.rpc_count()
trades = rpc._rpc_count()
nb_trades = len(trades)
assert not error
assert nb_trades == 1

42
freqtrade/tests/rpc/test_rpc_manager.py
View File

@ -7,49 +7,35 @@ from copy import deepcopy
from unittest.mock import MagicMock
from freqtrade.rpc.rpc_manager import RPCManager
from freqtrade.rpc.telegram import Telegram
from freqtrade.tests.conftest import log_has, get_patched_freqtradebot
def test_rpc_manager_object() -> None:
"""
Test the Arguments object has the mandatory methods
:return: None
"""
assert hasattr(RPCManager, '_init')
""" Test the Arguments object has the mandatory methods """
assert hasattr(RPCManager, 'send_msg')
assert hasattr(RPCManager, 'cleanup')
def test__init__(mocker, default_conf) -> None:
"""
Test __init__() method
"""
init_mock = mocker.patch('freqtrade.rpc.rpc_manager.RPCManager._init', MagicMock())
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
""" Test __init__() method """
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
rpc_manager = RPCManager(freqtradebot)
assert rpc_manager.freqtrade == freqtradebot
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, conf))
assert rpc_manager.registered_modules == []
assert rpc_manager.telegram is None
assert init_mock.call_count == 1
def test_init_telegram_disabled(mocker, default_conf, caplog) -> None:
"""
Test _init() method with Telegram disabled
"""
""" Test _init() method with Telegram disabled """
caplog.set_level(logging.DEBUG)
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
freqtradebot = get_patched_freqtradebot(mocker, conf)
rpc_manager = RPCManager(freqtradebot)
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, conf))
assert not log_has('Enabling rpc.telegram ...', caplog.record_tuples)
assert rpc_manager.registered_modules == []
assert rpc_manager.telegram is None
def test_init_telegram_enabled(mocker, default_conf, caplog) -> None:
@ -59,14 +45,12 @@ def test_init_telegram_enabled(mocker, default_conf, caplog) -> None:
caplog.set_level(logging.DEBUG)
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc_manager = RPCManager(freqtradebot)
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, default_conf))
assert log_has('Enabling rpc.telegram ...', caplog.record_tuples)
len_modules = len(rpc_manager.registered_modules)
assert len_modules == 1
assert 'telegram' in rpc_manager.registered_modules
assert isinstance(rpc_manager.telegram, Telegram)
assert 'telegram' in [mod.name for mod in rpc_manager.registered_modules]
def test_cleanup_telegram_disabled(mocker, default_conf, caplog) -> None:
@ -99,11 +83,11 @@ def test_cleanup_telegram_enabled(mocker, default_conf, caplog) -> None:
rpc_manager = RPCManager(freqtradebot)
# Check we have Telegram as a registered modules
assert 'telegram' in rpc_manager.registered_modules
assert 'telegram' in [mod.name for mod in rpc_manager.registered_modules]
rpc_manager.cleanup()
assert log_has('Cleaning up rpc.telegram ...', caplog.record_tuples)
assert 'telegram' not in rpc_manager.registered_modules
assert 'telegram' not in [mod.name for mod in rpc_manager.registered_modules]
assert telegram_mock.call_count == 1
@ -120,7 +104,7 @@ def test_send_msg_telegram_disabled(mocker, default_conf, caplog) -> None:
rpc_manager = RPCManager(freqtradebot)
rpc_manager.send_msg('test')
assert log_has('test', caplog.record_tuples)
assert log_has('Sending rpc message: test', caplog.record_tuples)
assert telegram_mock.call_count == 0
@ -135,5 +119,5 @@ def test_send_msg_telegram_enabled(mocker, default_conf, caplog) -> None:
rpc_manager = RPCManager(freqtradebot)
rpc_manager.send_msg('test')
assert log_has('test', caplog.record_tuples)
assert log_has('Sending rpc message: test', caplog.record_tuples)
assert telegram_mock.call_count == 1

390
freqtrade/tests/rpc/test_rpc_telegram.py
View File

@ -11,7 +11,6 @@ from datetime import datetime
from random import randint
from unittest.mock import MagicMock
from sqlalchemy import create_engine
from telegram import Update, Message, Chat
from telegram.error import NetworkError
@ -21,7 +20,7 @@ from freqtrade.persistence import Trade
from freqtrade.rpc.telegram import Telegram
from freqtrade.rpc.telegram import authorized_only
from freqtrade.state import State
from freqtrade.tests.conftest import get_patched_freqtradebot, log_has
from freqtrade.tests.conftest import get_patched_freqtradebot, patch_exchange, log_has
from freqtrade.tests.test_freqtradebot import patch_get_signal, patch_coinmarketcap
@ -33,6 +32,9 @@ class DummyCls(Telegram):
super().__init__(freqtrade)
self.state = {'called': False}
def _init(self):
pass
@authorized_only
def dummy_handler(self, *args, **kwargs) -> None:
"""
@ -61,9 +63,7 @@ def test__init__(default_conf, mocker) -> None:
def test_init(default_conf, mocker, caplog) -> None:
"""
Test _init() method
"""
""" Test _init() method """
start_polling = MagicMock()
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock(return_value=start_polling))
@ -71,31 +71,16 @@ def test_init(default_conf, mocker, caplog) -> None:
assert start_polling.call_count == 0
# number of handles registered
assert start_polling.dispatcher.add_handler.call_count == 11
assert start_polling.dispatcher.add_handler.call_count > 0
assert start_polling.start_polling.call_count == 1
message_str = "rpc.telegram is listening for following commands: [['status'], ['profit'], " \
"['balance'], ['start'], ['stop'], ['forcesell'], ['performance'], ['daily'], " \
"['count'], ['help'], ['version']]"
"['count'], ['reload_conf'], ['help'], ['version']]"
assert log_has(message_str, caplog.record_tuples)
def test_init_disabled(default_conf, mocker, caplog) -> None:
"""
Test _init() method when Telegram is disabled
"""
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
Telegram(get_patched_freqtradebot(mocker, conf))
message_str = "rpc.telegram is listening for following commands: [['status'], ['profit'], " \
"['balance'], ['start'], ['stop'], ['forcesell'], ['performance'], ['daily'], " \
"['count'], ['help'], ['version']]"
assert not log_has(message_str, caplog.record_tuples)
def test_cleanup(default_conf, mocker) -> None:
"""
Test cleanup() method
@ -104,51 +89,18 @@ def test_cleanup(default_conf, mocker) -> None:
updater_mock.stop = MagicMock()
mocker.patch('freqtrade.rpc.telegram.Updater', updater_mock)
# not enabled
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
telegram.cleanup()
assert telegram._updater is None
assert updater_mock.call_count == 0
assert not hasattr(telegram._updater, 'stop')
assert updater_mock.stop.call_count == 0
# enabled
conf['telegram']['enabled'] = True
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
telegram = Telegram(get_patched_freqtradebot(mocker, default_conf))
telegram.cleanup()
assert telegram._updater.stop.call_count == 1
def test_is_enabled(default_conf, mocker) -> None:
"""
Test is_enabled() method
"""
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock())
telegram = Telegram(get_patched_freqtradebot(mocker, default_conf))
assert telegram.is_enabled()
def test_is_not_enabled(default_conf, mocker) -> None:
"""
Test is_enabled() method
"""
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
assert not telegram.is_enabled()
def test_authorized_only(default_conf, mocker, caplog) -> None:
"""
Test authorized_only() method when we are authorized
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
patch_exchange(mocker, None)
chat = Chat(0, 0)
update = Update(randint(1, 100))
@ -156,7 +108,7 @@ def test_authorized_only(default_conf, mocker, caplog) -> None:
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
dummy = DummyCls(FreqtradeBot(conf, create_engine('sqlite://')))
dummy = DummyCls(FreqtradeBot(conf))
dummy.dummy_handler(bot=MagicMock(), update=update)
assert dummy.state['called'] is True
assert log_has(
@ -179,15 +131,14 @@ def test_authorized_only_unauthorized(default_conf, mocker, caplog) -> None:
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
patch_exchange(mocker, None)
chat = Chat(0xdeadbeef, 0)
update = Update(randint(1, 100))
update.message = Message(randint(1, 100), 0, datetime.utcnow(), chat)
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
dummy = DummyCls(FreqtradeBot(conf, create_engine('sqlite://')))
dummy = DummyCls(FreqtradeBot(conf))
dummy.dummy_handler(bot=MagicMock(), update=update)
assert dummy.state['called'] is False
assert not log_has(
@ -210,14 +161,14 @@ def test_authorized_only_exception(default_conf, mocker, caplog) -> None:
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
patch_exchange(mocker)
update = Update(randint(1, 100))
update.message = Message(randint(1, 100), 0, datetime.utcnow(), Chat(0, 0))
conf = deepcopy(default_conf)
conf['telegram']['enabled'] = False
dummy = DummyCls(FreqtradeBot(conf, create_engine('sqlite://')))
dummy = DummyCls(FreqtradeBot(conf))
dummy.dummy_exception(bot=MagicMock(), update=update)
assert dummy.state['called'] is False
assert not log_has(
@ -234,7 +185,7 @@ def test_authorized_only_exception(default_conf, mocker, caplog) -> None:
)
def test_status(default_conf, update, mocker, ticker) -> None:
def test_status(default_conf, update, mocker, fee, ticker, markets) -> None:
"""
Test _status() method
"""
@ -246,22 +197,25 @@ def test_status(default_conf, update, mocker, ticker) -> None:
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_pair_detail_url=MagicMock(),
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
status_table = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
rpc_trade_status=MagicMock(return_value=(False, [1, 2, 3])),
_rpc_trade_status=MagicMock(return_value=[1, 2, 3]),
_status_table=status_table,
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -277,16 +231,18 @@ def test_status(default_conf, update, mocker, ticker) -> None:
assert status_table.call_count == 1
def test_status_handle(default_conf, update, ticker, mocker) -> None:
def test_status_handle(default_conf, update, ticker, fee, markets, mocker) -> None:
"""
Test _status() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
status_table = MagicMock()
@ -294,11 +250,11 @@ def test_status_handle(default_conf, update, ticker, mocker) -> None:
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_status_table=status_table,
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -319,32 +275,34 @@ def test_status_handle(default_conf, update, ticker, mocker) -> None:
telegram._status(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert '[BTC_ETH]' in msg_mock.call_args_list[0][0][0]
assert '[ETH/BTC]' in msg_mock.call_args_list[0][0][0]
def test_status_table_handle(default_conf, update, ticker, mocker) -> None:
def test_status_table_handle(default_conf, update, ticker, fee, markets, mocker) -> None:
"""
Test _status_table() method
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker,
buy=MagicMock(return_value='mocked_order_id')
buy=MagicMock(return_value={'id': 'mocked_order_id'}),
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
conf = deepcopy(default_conf)
conf['stake_amount'] = 15.0
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -369,12 +327,12 @@ def test_status_table_handle(default_conf, update, ticker, mocker) -> None:
fields = re.sub('[ ]+', ' ', line[2].strip()).split(' ')
assert int(fields[0]) == 1
assert fields[1] == 'BTC_ETH'
assert fields[1] == 'ETH/BTC'
assert msg_mock.call_count == 1
def test_daily_handle(default_conf, update, ticker, limit_buy_order,
limit_sell_order, mocker) -> None:
def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
limit_sell_order, markets, mocker) -> None:
"""
Test _daily() method
"""
@ -385,19 +343,21 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order,
return_value=15000.0
)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -453,7 +413,7 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
)
@ -461,11 +421,11 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Try invalid data
@ -484,8 +444,8 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
assert str('Daily Profit over the last 7 days') in msg_mock.call_args_list[0][0][0]
def test_profit_handle(default_conf, update, ticker, ticker_sell_up,
limit_buy_order, limit_sell_order, mocker) -> None:
def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
"""
Test _profit() method
"""
@ -493,19 +453,21 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up,
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
telegram._profit(bot=MagicMock(), update=update)
@ -526,7 +488,7 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up,
msg_mock.reset_mock()
# Update the ticker with a market going up
mocker.patch('freqtrade.freqtradebot.exchange.get_ticker', ticker_sell_up)
mocker.patch('freqtrade.exchange.Exchange.get_ticker', ticker_sell_up)
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
@ -541,49 +503,42 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up,
assert '∙ `0.00006217 BTC (6.20%)`' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `BTC_ETH: 6.20%`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `ETH/BTC: 6.20%`' in msg_mock.call_args_list[-1][0][0]
def test_telegram_balance_handle(default_conf, update, mocker) -> None:
"""
Test _balance() method
"""
mock_balance = [
{
'Currency': 'BTC',
'Balance': 10.0,
'Available': 12.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
mock_balance = {
'BTC': {
'total': 12.0,
'free': 12.0,
'used': 0.0
},
{
'Currency': 'ETH',
'Balance': 0.0,
'Available': 0.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
'ETH': {
'total': 0.0,
'free': 0.0,
'used': 0.0
},
{
'Currency': 'USDT',
'Balance': 10000.0,
'Available': 0.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
'USDT': {
'total': 10000.0,
'free': 10000.0,
'used': 0.0
},
{
'Currency': 'LTC',
'Balance': 10.0,
'Available': 10.0,
'Pending': 0.0,
'CryptoAddress': 'XXXX',
'LTC': {
'total': 10.0,
'free': 10.0,
'used': 0.0
}
]
}
def mock_ticker(symbol, refresh):
"""
Mock Bittrex.get_ticker() response
"""
if symbol == 'USDT_BTC':
if symbol == 'BTC/USDT':
return {
'bid': 10000.00,
'ask': 10000.00,
@ -598,29 +553,28 @@ def test_telegram_balance_handle(default_conf, update, mocker) -> None:
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
mocker.patch('freqtrade.freqtradebot.exchange.get_balances', return_value=mock_balance)
mocker.patch('freqtrade.freqtradebot.exchange.get_ticker', side_effect=mock_ticker)
mocker.patch('freqtrade.exchange.Exchange.get_balances', return_value=mock_balance)
mocker.patch('freqtrade.exchange.Exchange.get_ticker', side_effect=mock_ticker)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
telegram._balance(bot=MagicMock(), update=update)
result = msg_mock.call_args_list[0][0][0]
assert msg_mock.call_count == 1
assert '*Currency*: BTC' in result
assert '*Currency*: ETH' not in result
assert '*Currency*: USDT' in result
assert 'Balance' in result
assert 'Est. BTC' in result
assert '*BTC*: 12.00000000' in result
assert '*BTC:*' in result
assert '*ETH:*' not in result
assert '*USDT:*' in result
assert 'Balance:' in result
assert 'Est. BTC:' in result
assert 'BTC: 14.00000000' in result
def test_zero_balance_handle(default_conf, update, mocker) -> None:
@ -628,18 +582,16 @@ def test_zero_balance_handle(default_conf, update, mocker) -> None:
Test _balance() method when the Exchange platform returns nothing
"""
patch_get_signal(mocker, (True, False))
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
mocker.patch('freqtrade.freqtradebot.exchange.get_balances', return_value=[])
mocker.patch('freqtrade.exchange.Exchange.get_balances', return_value={})
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
telegram._balance(bot=MagicMock(), update=update)
@ -652,41 +604,35 @@ def test_start_handle(default_conf, update, mocker) -> None:
"""
Test _start() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
assert freqtradebot.state == State.STOPPED
telegram._start(bot=MagicMock(), update=update)
assert freqtradebot.state == State.RUNNING
assert msg_mock.call_count == 0
assert msg_mock.call_count == 1
def test_start_handle_already_running(default_conf, update, mocker) -> None:
"""
Test _start() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.RUNNING
@ -702,16 +648,14 @@ def test_stop_handle(default_conf, update, mocker) -> None:
Test _stop() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.RUNNING
@ -727,16 +671,14 @@ def test_stop_handle_already_stopped(default_conf, update, mocker) -> None:
Test _stop() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -747,7 +689,29 @@ def test_stop_handle_already_stopped(default_conf, update, mocker) -> None:
assert 'already stopped' in msg_mock.call_args_list[0][0][0]
def test_forcesell_handle(default_conf, update, ticker, ticker_sell_up, mocker) -> None:
def test_reload_conf_handle(default_conf, update, mocker) -> None:
""" Test _reload_conf() method """
patch_coinmarketcap(mocker)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.RUNNING
assert freqtradebot.state == State.RUNNING
telegram._reload_conf(bot=MagicMock(), update=update)
assert freqtradebot.state == State.RELOAD_CONF
assert msg_mock.call_count == 1
assert 'Reloading config' in msg_mock.call_args_list[0][0][0]
def test_forcesell_handle(default_conf, update, ticker, fee,
ticker_sell_up, markets, mocker) -> None:
"""
Test _forcesell() method
"""
@ -757,12 +721,14 @@ def test_forcesell_handle(default_conf, update, ticker, ticker_sell_up, mocker)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -772,21 +738,22 @@ def test_forcesell_handle(default_conf, update, ticker, ticker_sell_up, mocker)
assert trade
# Increase the price and sell it
mocker.patch('freqtrade.freqtradebot.exchange.get_ticker', ticker_sell_up)
mocker.patch('freqtrade.exchange.Exchange.get_ticker', ticker_sell_up)
update.message.text = '/forcesell 1'
telegram._forcesell(bot=MagicMock(), update=update)
assert rpc_mock.call_count == 2
assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
assert '[ETH/BTC]' in rpc_mock.call_args_list[-1][0][0]
assert 'Amount' in rpc_mock.call_args_list[-1][0][0]
assert '0.00001172' in rpc_mock.call_args_list[-1][0][0]
assert 'profit: 6.11%, 0.00006126' in rpc_mock.call_args_list[-1][0][0]
assert '0.919 USD' in rpc_mock.call_args_list[-1][0][0]
def test_forcesell_down_handle(default_conf, update, ticker, ticker_sell_down, mocker) -> None:
def test_forcesell_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, markets, mocker) -> None:
"""
Test _forcesell() method
"""
@ -796,12 +763,14 @@ def test_forcesell_down_handle(default_conf, update, ticker, ticker_sell_down, m
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -809,7 +778,7 @@ def test_forcesell_down_handle(default_conf, update, ticker, ticker_sell_down, m
# Decrease the price and sell it
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker_sell_down
)
@ -822,14 +791,14 @@ def test_forcesell_down_handle(default_conf, update, ticker, ticker_sell_down, m
assert rpc_mock.call_count == 2
assert 'Selling' in rpc_mock.call_args_list[-1][0][0]
assert '[BTC_ETH]' in rpc_mock.call_args_list[-1][0][0]
assert '[ETH/BTC]' in rpc_mock.call_args_list[-1][0][0]
assert 'Amount' in rpc_mock.call_args_list[-1][0][0]
assert '0.00001044' in rpc_mock.call_args_list[-1][0][0]
assert 'loss: -5.48%, -0.00005492' in rpc_mock.call_args_list[-1][0][0]
assert '-0.824 USD' in rpc_mock.call_args_list[-1][0][0]
def test_forcesell_all_handle(default_conf, update, ticker, mocker) -> None:
def test_forcesell_all_handle(default_conf, update, ticker, fee, markets, mocker) -> None:
"""
Test _forcesell() method
"""
@ -838,13 +807,16 @@ def test_forcesell_all_handle(default_conf, update, ticker, mocker) -> None:
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.get_pair_detail_url', MagicMock())
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -873,11 +845,11 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Trader is not running
@ -904,8 +876,8 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
assert 'Invalid argument.' in msg_mock.call_args_list[0][0][0]
def test_performance_handle(default_conf, update, ticker, limit_buy_order,
limit_sell_order, mocker) -> None:
def test_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
"""
Test _performance() method
"""
@ -915,15 +887,17 @@ def test_performance_handle(default_conf, update, ticker, limit_buy_order,
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker
get_ticker=ticker,
get_fee=fee,
get_markets=markets
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -942,7 +916,7 @@ def test_performance_handle(default_conf, update, ticker, limit_buy_order,
telegram._performance(bot=MagicMock(), update=update)
assert msg_mock.call_count == 1
assert 'Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>BTC_ETH\t6.20% (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t6.20% (1)</code>' in msg_mock.call_args_list[0][0][0]
def test_performance_handle_invalid(default_conf, update, mocker) -> None:
@ -955,10 +929,10 @@ def test_performance_handle_invalid(default_conf, update, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Trader is not running
@ -968,7 +942,7 @@ def test_performance_handle_invalid(default_conf, update, mocker) -> None:
assert 'not running' in msg_mock.call_args_list[0][0][0]
def test_count_handle(default_conf, update, ticker, mocker) -> None:
def test_count_handle(default_conf, update, ticker, fee, markets, mocker) -> None:
"""
Test _count() method
"""
@ -978,15 +952,17 @@ def test_count_handle(default_conf, update, ticker, mocker) -> None:
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
get_ticker=ticker,
buy=MagicMock(return_value='mocked_order_id')
buy=MagicMock(return_value={'id': 'mocked_order_id'}),
get_markets=markets
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -1015,14 +991,14 @@ def test_help_handle(default_conf, update, mocker) -> None:
Test _help() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
telegram._help(bot=MagicMock(), update=update)
@ -1035,14 +1011,13 @@ def test_version_handle(default_conf, update, mocker) -> None:
Test _version() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
send_msg=msg_mock
_send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
telegram._version(bot=MagicMock(), update=update)
@ -1055,20 +1030,14 @@ def test_send_msg(default_conf, mocker) -> None:
Test send_msg() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
conf = deepcopy(default_conf)
bot = MagicMock()
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, conf)
telegram = Telegram(freqtradebot)
telegram._config['telegram']['enabled'] = False
telegram.send_msg('test', bot)
assert not bot.method_calls
bot.reset_mock()
telegram._config['telegram']['enabled'] = True
telegram.send_msg('test', bot)
telegram._send_msg('test', bot)
assert len(bot.method_calls) == 1
@ -1077,16 +1046,15 @@ def test_send_msg_network_error(default_conf, mocker, caplog) -> None:
Test send_msg() method
"""
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
conf = deepcopy(default_conf)
bot = MagicMock()
bot.send_message = MagicMock(side_effect=NetworkError('Oh snap'))
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = get_patched_freqtradebot(mocker, conf)
telegram = Telegram(freqtradebot)
telegram._config['telegram']['enabled'] = True
telegram.send_msg('test', bot)
telegram._send_msg('test', bot)
# Bot should've tried to send it twice
assert len(bot.method_calls) == 2

4
freqtrade/tests/strategy/test_default_strategy.py
View File

@ -9,7 +9,7 @@ from freqtrade.strategy.default_strategy import DefaultStrategy
@pytest.fixture
def result():
with open('freqtrade/tests/testdata/BTC_ETH-1.json') as data_file:
with open('freqtrade/tests/testdata/ETH_BTC-1m.json') as data_file:
return Analyze.parse_ticker_dataframe(json.load(data_file))
@ -27,7 +27,7 @@ def test_default_strategy(result):
assert type(strategy.minimal_roi) is dict
assert type(strategy.stoploss) is float
assert type(strategy.ticker_interval) is int
assert type(strategy.ticker_interval) is str
indicators = strategy.populate_indicators(result)
assert type(indicators) is DataFrame
assert type(strategy.populate_buy_trend(indicators)) is DataFrame

43
freqtrade/tests/strategy/test_strategy.py
View File

@ -1,14 +1,39 @@
# pragma pylint: disable=missing-docstring, protected-access, C0103
import logging
import os
import pytest
from freqtrade.strategy import import_strategy
from freqtrade.strategy.default_strategy import DefaultStrategy
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy.resolver import StrategyResolver
def test_import_strategy(caplog):
caplog.set_level(logging.DEBUG)
strategy = DefaultStrategy()
strategy.some_method = lambda *args, **kwargs: 42
assert strategy.__module__ == 'freqtrade.strategy.default_strategy'
assert strategy.some_method() == 42
imported_strategy = import_strategy(strategy)
assert dir(strategy) == dir(imported_strategy)
assert imported_strategy.__module__ == 'freqtrade.strategy'
assert imported_strategy.some_method() == 42
assert (
'freqtrade.strategy',
logging.DEBUG,
'Imported strategy freqtrade.strategy.default_strategy.DefaultStrategy '
'as freqtrade.strategy.DefaultStrategy',
) in caplog.record_tuples
def test_search_strategy():
default_location = os.path.join(os.path.dirname(
os.path.realpath(__file__)), '..', '..', 'strategy'
@ -20,19 +45,21 @@ def test_search_strategy():
def test_load_strategy(result):
resolver = StrategyResolver()
resolver._load_strategy('TestStrategy')
resolver = StrategyResolver({'strategy': 'TestStrategy'})
assert hasattr(resolver.strategy, 'populate_indicators')
assert 'adx' in resolver.strategy.populate_indicators(result)
def test_load_strategy_custom_directory(result):
def test_load_strategy_invalid_directory(result, caplog):
resolver = StrategyResolver()
extra_dir = os.path.join('some', 'path')
with pytest.raises(
FileNotFoundError,
match=r".*No such file or directory: '{}'".format(extra_dir)):
resolver._load_strategy('TestStrategy', extra_dir)
resolver._load_strategy('TestStrategy', extra_dir)
assert (
'freqtrade.strategy.resolver',
logging.WARNING,
'Path "{}" does not exist'.format(extra_dir),
) in caplog.record_tuples
assert hasattr(resolver.strategy, 'populate_indicators')
assert 'adx' in resolver.strategy.populate_indicators(result)

101
freqtrade/tests/test_acl_pair.py
View File

@ -1,6 +1,7 @@
# pragma pylint: disable=missing-docstring,C0103,protected-access
import freqtrade.tests.conftest as tt # test tools
from unittest.mock import MagicMock
# whitelist, blacklist, filtering, all of that will
# eventually become some rules to run on a generic ACL engine
@ -12,118 +13,60 @@ def whitelist_conf():
config['stake_currency'] = 'BTC'
config['exchange']['pair_whitelist'] = [
'BTC_ETH',
'BTC_TKN',
'BTC_TRST',
'BTC_SWT',
'BTC_BCC'
'ETH/BTC',
'TKN/BTC',
'TRST/BTC',
'SWT/BTC',
'BCC/BTC'
]
config['exchange']['pair_blacklist'] = [
'BTC_BLK'
'BLK/BTC'
]
return config
def get_market_summaries():
return [{
'MarketName': 'BTC-TKN',
'High': 0.00000919,
'Low': 0.00000820,
'Volume': 74339.61396015,
'Last': 0.00000820,
'BaseVolume': 1664,
'TimeStamp': '2014-07-09T07:19:30.15',
'Bid': 0.00000820,
'Ask': 0.00000831,
'OpenBuyOrders': 15,
'OpenSellOrders': 15,
'PrevDay': 0.00000821,
'Created': '2014-03-20T06:00:00',
'DisplayMarketName': ''
}, {
'MarketName': 'BTC-ETH',
'High': 0.00000072,
'Low': 0.00000001,
'Volume': 166340678.42280999,
'Last': 0.00000005,
'BaseVolume': 42,
'TimeStamp': '2014-07-09T07:21:40.51',
'Bid': 0.00000004,
'Ask': 0.00000005,
'OpenBuyOrders': 18,
'OpenSellOrders': 18,
'PrevDay': 0.00000002,
'Created': '2014-05-30T07:57:49.637',
'DisplayMarketName': ''
}, {
'MarketName': 'BTC-BLK',
'High': 0.00000072,
'Low': 0.00000001,
'Volume': 166340678.42280999,
'Last': 0.00000005,
'BaseVolume': 3,
'TimeStamp': '2014-07-09T07:21:40.51',
'Bid': 0.00000004,
'Ask': 0.00000005,
'OpenBuyOrders': 18,
'OpenSellOrders': 18,
'PrevDay': 0.00000002,
'Created': '2014-05-30T07:57:49.637',
'DisplayMarketName': ''
}]
def get_health():
return [{'Currency': 'ETH', 'IsActive': True},
{'Currency': 'TKN', 'IsActive': True},
{'Currency': 'BLK', 'IsActive': True}]
def get_health_empty():
return []
def test_refresh_market_pair_not_in_whitelist(mocker):
def test_refresh_market_pair_not_in_whitelist(mocker, markets):
conf = whitelist_conf()
freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health)
mocker.patch('freqtrade.exchange.Exchange.get_markets', markets)
refreshedwhitelist = freqtradebot._refresh_whitelist(
conf['exchange']['pair_whitelist'] + ['BTC_XXX']
conf['exchange']['pair_whitelist'] + ['XXX/BTC']
)
# List ordered by BaseVolume
whitelist = ['BTC_ETH', 'BTC_TKN']
whitelist = ['ETH/BTC', 'TKN/BTC']
# Ensure all except those in whitelist are removed
assert whitelist == refreshedwhitelist
def test_refresh_whitelist(mocker):
def test_refresh_whitelist(mocker, markets):
conf = whitelist_conf()
freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health)
mocker.patch('freqtrade.exchange.Exchange.get_markets', markets)
refreshedwhitelist = freqtradebot._refresh_whitelist(conf['exchange']['pair_whitelist'])
# List ordered by BaseVolume
whitelist = ['BTC_ETH', 'BTC_TKN']
whitelist = ['ETH/BTC', 'TKN/BTC']
# Ensure all except those in whitelist are removed
assert whitelist == refreshedwhitelist
def test_refresh_whitelist_dynamic(mocker):
def test_refresh_whitelist_dynamic(mocker, markets, tickers):
conf = whitelist_conf()
freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
get_wallet_health=get_health,
get_market_summaries=get_market_summaries
'freqtrade.exchange.Exchange',
get_markets=markets,
get_tickers=tickers,
exchange_has=MagicMock(return_value=True)
)
# argument: use the whitelist dynamically by exchange-volume
whitelist = ['BTC_TKN', 'BTC_ETH']
whitelist = ['ETH/BTC', 'TKN/BTC']
refreshedwhitelist = freqtradebot._refresh_whitelist(
freqtradebot._gen_pair_whitelist(conf['stake_currency'])
@ -132,10 +75,10 @@ def test_refresh_whitelist_dynamic(mocker):
assert whitelist == refreshedwhitelist
def test_refresh_whitelist_dynamic_empty(mocker):
def test_refresh_whitelist_dynamic_empty(mocker, markets_empty):
conf = whitelist_conf()
freqtradebot = tt.get_patched_freqtradebot(mocker, conf)
mocker.patch('freqtrade.freqtradebot.exchange.get_wallet_health', get_health_empty)
mocker.patch('freqtrade.exchange.Exchange.get_markets', markets_empty)
# argument: use the whitelist dynamically by exchange-volume
whitelist = []

69
freqtrade/tests/test_analyze.py
View File

@ -13,7 +13,8 @@ from pandas import DataFrame
from freqtrade.analyze import Analyze, SignalType
from freqtrade.optimize.__init__ import load_tickerdata_file
from freqtrade.tests.conftest import log_has
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has, get_patched_exchange
# Avoid to reinit the same object again and again
_ANALYZE = Analyze({'strategy': 'DefaultStrategy'})
@ -45,12 +46,12 @@ def test_analyze_object() -> None:
def test_dataframe_correct_length(result):
dataframe = Analyze.parse_ticker_dataframe(result)
assert len(result.index) == len(dataframe.index)
assert len(result.index) - 1 == len(dataframe.index) # last partial candle removed
def test_dataframe_correct_columns(result):
assert result.columns.tolist() == \
['date', 'close', 'high', 'low', 'open', 'volume']
['date', 'open', 'high', 'low', 'close', 'volume']
def test_populates_buy_trend(result):
@ -65,16 +66,16 @@ def test_populates_sell_trend(result):
assert 'sell' in dataframe.columns
def test_returns_latest_buy_signal(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
def test_returns_latest_buy_signal(mocker, default_conf):
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=MagicMock())
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('BTC-ETH', 5) == (True, False)
assert _ANALYZE.get_signal(exchange, 'ETH/BTC', '5m') == (True, False)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
@ -82,11 +83,12 @@ def test_returns_latest_buy_signal(mocker):
return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, True)
assert _ANALYZE.get_signal(exchange, 'ETH/BTC', '5m') == (False, True)
def test_returns_latest_sell_signal(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
def test_returns_latest_sell_signal(mocker, default_conf):
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=MagicMock())
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
@ -94,7 +96,7 @@ def test_returns_latest_sell_signal(mocker):
)
)
assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, True)
assert _ANALYZE.get_signal(exchange, 'ETH/BTC', '5m') == (False, True)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
@ -102,45 +104,49 @@ def test_returns_latest_sell_signal(mocker):
return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}])
)
)
assert _ANALYZE.get_signal('BTC-ETH', 5) == (True, False)
assert _ANALYZE.get_signal(exchange, 'ETH/BTC', '5m') == (True, False)
def test_get_signal_empty(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=None)
assert (False, False) == _ANALYZE.get_signal('foo', int(default_conf['ticker_interval']))
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=None)
exchange = get_patched_exchange(mocker, default_conf)
assert (False, False) == _ANALYZE.get_signal(exchange, 'foo', default_conf['ticker_interval'])
assert log_has('Empty ticker history for pair foo', caplog.record_tuples)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=1)
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
side_effect=ValueError('xyz')
)
)
assert (False, False) == _ANALYZE.get_signal('foo', int(default_conf['ticker_interval']))
assert (False, False) == _ANALYZE.get_signal(exchange, 'foo', default_conf['ticker_interval'])
assert log_has('Unable to analyze ticker for pair foo: xyz', caplog.record_tuples)
def test_get_signal_empty_dataframe(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=1)
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
return_value=DataFrame([])
)
)
assert (False, False) == _ANALYZE.get_signal('xyz', int(default_conf['ticker_interval']))
assert (False, False) == _ANALYZE.get_signal(exchange, 'xyz', default_conf['ticker_interval'])
assert log_has('Empty dataframe for pair xyz', caplog.record_tuples)
def test_get_signal_old_dataframe(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=1)
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=1)
exchange = get_patched_exchange(mocker, default_conf)
# FIX: The get_signal function has hardcoded 10, which we must inturn hardcode
oldtime = arrow.utcnow() - datetime.timedelta(minutes=11)
ticks = DataFrame([{'buy': 1, 'date': oldtime}])
@ -150,15 +156,16 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog):
return_value=DataFrame(ticks)
)
)
assert (False, False) == _ANALYZE.get_signal('xyz', int(default_conf['ticker_interval']))
assert (False, False) == _ANALYZE.get_signal(exchange, 'xyz', default_conf['ticker_interval'])
assert log_has(
'Outdated history for pair xyz. Last tick is 11 minutes old',
caplog.record_tuples
)
def test_get_signal_handles_exceptions(mocker):
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=MagicMock())
def test_get_signal_handles_exceptions(mocker, default_conf):
mocker.patch('freqtrade.exchange.Exchange.get_ticker_history', return_value=MagicMock())
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.analyze.Analyze',
analyze_ticker=MagicMock(
@ -166,20 +173,16 @@ def test_get_signal_handles_exceptions(mocker):
)
)
assert _ANALYZE.get_signal('BTC-ETH', 5) == (False, False)
assert _ANALYZE.get_signal(exchange, 'ETH/BTC', '5m') == (False, False)
def test_parse_ticker_dataframe(ticker_history, ticker_history_without_bv):
columns = ['date', 'close', 'high', 'low', 'open', 'volume']
def test_parse_ticker_dataframe(ticker_history):
columns = ['date', 'open', 'high', 'low', 'close', 'volume']
# Test file with BV data
dataframe = Analyze.parse_ticker_dataframe(ticker_history)
assert dataframe.columns.tolist() == columns
# Test file without BV data
dataframe = Analyze.parse_ticker_dataframe(ticker_history_without_bv)
assert dataframe.columns.tolist() == columns
def test_tickerdata_to_dataframe(default_conf) -> None:
"""
@ -187,8 +190,8 @@ def test_tickerdata_to_dataframe(default_conf) -> None:
"""
analyze = Analyze(default_conf)
timerange = ((None, 'line'), None, -100)
tick = load_tickerdata_file(None, 'BTC_UNITEST', 1, timerange=timerange)
tickerlist = {'BTC_UNITEST': tick}
timerange = TimeRange(None, 'line', 0, -100)
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}
data = analyze.tickerdata_to_dataframe(tickerlist)
assert len(data['BTC_UNITEST']) == 100
assert len(data['UNITTEST/BTC']) == 99 # partial candle was removed

52
freqtrade/tests/test_arguments.py
View File

@ -9,7 +9,7 @@ import logging
import pytest
from freqtrade.arguments import Arguments
from freqtrade.arguments import Arguments, TimeRange
def test_arguments_object() -> None:
@ -46,6 +46,11 @@ def test_parse_args_config() -> None:
assert args.config == '/dev/null'
def test_parse_args_db_url() -> None:
args = Arguments(['--db-url', 'sqlite:///test.sqlite'], '').get_parsed_arg()
assert args.db_url == 'sqlite:///test.sqlite'
def test_parse_args_verbose() -> None:
args = Arguments(['-v'], '').get_parsed_arg()
assert args.loglevel == logging.DEBUG
@ -55,10 +60,10 @@ def test_parse_args_verbose() -> None:
def test_scripts_options() -> None:
arguments = Arguments(['-p', 'BTC_ETH'], '')
arguments = Arguments(['-p', 'ETH/BTC'], '')
arguments.scripts_options()
args = arguments.get_parsed_arg()
assert args.pair == 'BTC_ETH'
assert args.pair == 'ETH/BTC'
def test_parse_args_version() -> None:
@ -107,8 +112,25 @@ def test_parse_args_dynamic_whitelist_invalid_values() -> None:
def test_parse_timerange_incorrect() -> None:
assert ((None, 'line'), None, -200) == Arguments.parse_timerange('-200')
assert (('line', None), 200, None) == Arguments.parse_timerange('200-')
assert TimeRange(None, 'line', 0, -200) == Arguments.parse_timerange('-200')
assert TimeRange('line', None, 200, 0) == Arguments.parse_timerange('200-')
assert TimeRange('index', 'index', 200, 500) == Arguments.parse_timerange('200-500')
assert TimeRange('date', None, 1274486400, 0) == Arguments.parse_timerange('20100522-')
assert TimeRange(None, 'date', 0, 1274486400) == Arguments.parse_timerange('-20100522')
timerange = Arguments.parse_timerange('20100522-20150730')
assert timerange == TimeRange('date', 'date', 1274486400, 1438214400)
# Added test for unix timestamp - BTC genesis date
assert TimeRange('date', None, 1231006505, 0) == Arguments.parse_timerange('1231006505-')
assert TimeRange(None, 'date', 0, 1233360000) == Arguments.parse_timerange('-1233360000')
timerange = Arguments.parse_timerange('1231006505-1233360000')
assert TimeRange('date', 'date', 1231006505, 1233360000) == timerange
# TODO: Find solution for the following case (passing timestamp in ms)
timerange = Arguments.parse_timerange('1231006505000-1233360000000')
assert TimeRange('date', 'date', 1231006505, 1233360000) != timerange
with pytest.raises(Exception, match=r'Incorrect syntax.*'):
Arguments.parse_timerange('-')
@ -126,7 +148,7 @@ def test_parse_args_backtesting_custom() -> None:
'-c', 'test_conf.json',
'backtesting',
'--live',
'--ticker-interval', '1',
'--ticker-interval', '1m',
'--refresh-pairs-cached']
call_args = Arguments(args, '').get_parsed_arg()
assert call_args.config == 'test_conf.json'
@ -134,7 +156,7 @@ def test_parse_args_backtesting_custom() -> None:
assert call_args.loglevel == logging.INFO
assert call_args.subparser == 'backtesting'
assert call_args.func is not None
assert call_args.ticker_interval == 1
assert call_args.ticker_interval == '1m'
assert call_args.refresh_pairs is True
@ -152,3 +174,19 @@ def test_parse_args_hyperopt_custom() -> None:
assert call_args.subparser == 'hyperopt'
assert call_args.spaces == ['buy']
assert call_args.func is not None
def test_testdata_dl_options() -> None:
args = [
'--pairs-file', 'file_with_pairs',
'--export', 'export/folder',
'--days', '30',
'--exchange', 'binance'
]
arguments = Arguments(args, '')
arguments.testdata_dl_options()
args = arguments.parse_args()
assert args.pairs_file == 'file_with_pairs'
assert args.export == 'export/folder'
assert args.days == 30
assert args.exchange == 'binance'

174
freqtrade/tests/test_configuration.py
View File

@ -6,13 +6,16 @@ Unit test file for configuration.py
import json
from copy import deepcopy
from unittest.mock import MagicMock
from argparse import Namespace
import pytest
from jsonschema import ValidationError
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.constants import DEFAULT_DB_PROD_URL, DEFAULT_DB_DRYRUN_URL
from freqtrade.tests.conftest import log_has
from freqtrade import OperationalException
def test_configuration_object() -> None:
@ -28,19 +31,19 @@ def test_configuration_object() -> None:
assert hasattr(Configuration, 'get_config')
def test_load_config_invalid_pair(default_conf, mocker) -> None:
def test_load_config_invalid_pair(default_conf) -> None:
"""
Test the configuration validator with an invalid PAIR format
"""
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'].append('BTC-ETH')
conf['exchange']['pair_whitelist'].append('ETH-BTC')
with pytest.raises(ValidationError, match=r'.*does not match.*'):
configuration = Configuration([])
configuration = Configuration(Namespace())
configuration._validate_config(conf)
def test_load_config_missing_attributes(default_conf, mocker) -> None:
def test_load_config_missing_attributes(default_conf) -> None:
"""
Test the configuration validator with a missing attribute
"""
@ -48,7 +51,19 @@ def test_load_config_missing_attributes(default_conf, mocker) -> None:
conf.pop('exchange')
with pytest.raises(ValidationError, match=r'.*\'exchange\' is a required property.*'):
configuration = Configuration([])
configuration = Configuration(Namespace())
configuration._validate_config(conf)
def test_load_config_incorrect_stake_amount(default_conf) -> None:
"""
Test the configuration validator with a missing attribute
"""
conf = deepcopy(default_conf)
conf['stake_amount'] = 'fake'
with pytest.raises(ValidationError, match=r'.*\'fake\' does not match \'unlimited\'.*'):
configuration = Configuration(Namespace())
configuration._validate_config(conf)
@ -60,7 +75,7 @@ def test_load_config_file(default_conf, mocker, caplog) -> None:
read_data=json.dumps(default_conf)
))
configuration = Configuration([])
configuration = Configuration(Namespace())
validated_conf = configuration._load_config_file('somefile')
assert file_mock.call_count == 1
assert validated_conf.items() >= default_conf.items()
@ -68,7 +83,22 @@ def test_load_config_file(default_conf, mocker, caplog) -> None:
assert log_has('Validating configuration ...', caplog.record_tuples)
def test_load_config_file_exception(mocker, caplog) -> None:
def test_load_config_max_open_trades_zero(default_conf, mocker, caplog) -> None:
"""
Test Configuration._load_config_file() method
"""
conf = deepcopy(default_conf)
conf['max_open_trades'] = 0
file_mock = mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(conf)
))
Configuration(Namespace())._load_config_file('somefile')
assert file_mock.call_count == 1
assert log_has('Validating configuration ...', caplog.record_tuples)
def test_load_config_file_exception(mocker) -> None:
"""
Test Configuration._load_config_file() method
"""
@ -76,14 +106,10 @@ def test_load_config_file_exception(mocker, caplog) -> None:
'freqtrade.configuration.open',
MagicMock(side_effect=FileNotFoundError('File not found'))
)
configuration = Configuration([])
configuration = Configuration(Namespace())
with pytest.raises(SystemExit):
with pytest.raises(OperationalException, match=r'.*Config file "somefile" not found!*'):
configuration._load_config_file('somefile')
assert log_has(
'Config file "somefile" not found. Please create your config file',
caplog.record_tuples
)
def test_load_config(default_conf, mocker) -> None:
@ -101,7 +127,6 @@ def test_load_config(default_conf, mocker) -> None:
assert validated_conf.get('strategy') == 'DefaultStrategy'
assert validated_conf.get('strategy_path') is None
assert 'dynamic_whitelist' not in validated_conf
assert 'dry_run_db' not in validated_conf
def test_load_config_with_params(default_conf, mocker) -> None:
@ -112,13 +137,13 @@ def test_load_config_with_params(default_conf, mocker) -> None:
read_data=json.dumps(default_conf)
))
args = [
arglist = [
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--strategy-path', '/some/path',
'--dry-run-db',
'--db-url', 'sqlite:///someurl',
]
args = Arguments(args, '').get_parsed_arg()
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
validated_conf = configuration.load_config()
@ -126,7 +151,44 @@ def test_load_config_with_params(default_conf, mocker) -> None:
assert validated_conf.get('dynamic_whitelist') == 10
assert validated_conf.get('strategy') == 'TestStrategy'
assert validated_conf.get('strategy_path') == '/some/path'
assert validated_conf.get('dry_run_db') is True
assert validated_conf.get('db_url') == 'sqlite:///someurl'
conf = default_conf.copy()
conf["dry_run"] = False
del conf["db_url"]
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(conf)
))
arglist = [
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--strategy-path', '/some/path'
]
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
validated_conf = configuration.load_config()
assert validated_conf.get('db_url') == DEFAULT_DB_PROD_URL
# Test dry=run with ProdURL
conf = default_conf.copy()
conf["dry_run"] = True
conf["db_url"] = DEFAULT_DB_PROD_URL
mocker.patch('freqtrade.configuration.open', mocker.mock_open(
read_data=json.dumps(conf)
))
arglist = [
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--strategy-path', '/some/path'
]
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
validated_conf = configuration.load_config()
assert validated_conf.get('db_url') == DEFAULT_DB_DRYRUN_URL
def test_load_custom_strategy(default_conf, mocker) -> None:
@ -158,12 +220,12 @@ def test_show_info(default_conf, mocker, caplog) -> None:
read_data=json.dumps(default_conf)
))
args = [
arglist = [
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--dry-run-db'
'--db-url', 'sqlite:///tmp/testdb',
]
args = Arguments(args, '').get_parsed_arg()
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
configuration.get_config()
@ -175,23 +237,8 @@ def test_show_info(default_conf, mocker, caplog) -> None:
caplog.record_tuples
)
assert log_has(
'Parameter --dry-run-db detected ...',
caplog.record_tuples
)
assert log_has(
'Dry_run will use the DB file: "tradesv3.dry_run.sqlite"',
caplog.record_tuples
)
# Test the Dry run condition
configuration.config.update({'dry_run': False})
configuration._load_common_config(configuration.config)
assert log_has(
'Dry run is disabled. (--dry_run_db ignored)',
caplog.record_tuples
)
assert log_has('Using DB: "sqlite:///tmp/testdb"', caplog.record_tuples)
assert log_has('Dry run is enabled', caplog.record_tuples)
def test_setup_configuration_without_arguments(mocker, default_conf, caplog) -> None:
@ -202,13 +249,13 @@ def test_setup_configuration_without_arguments(mocker, default_conf, caplog) ->
read_data=json.dumps(default_conf)
))
args = [
arglist = [
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'backtesting'
]
args = Arguments(args, '').get_parsed_arg()
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
config = configuration.get_config()
@ -219,7 +266,7 @@ def test_setup_configuration_without_arguments(mocker, default_conf, caplog) ->
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has(
'Parameter --datadir detected: {} ...'.format(config['datadir']),
'Using data folder: {} ...'.format(config['datadir']),
caplog.record_tuples
)
assert 'ticker_interval' in config
@ -246,12 +293,12 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
read_data=json.dumps(default_conf)
))
args = [
arglist = [
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--datadir', '/foo/bar',
'backtesting',
'--ticker-interval', '1',
'--ticker-interval', '1m',
'--live',
'--realistic-simulation',
'--refresh-pairs-cached',
@ -259,7 +306,7 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
'--export', '/bar/foo'
]
args = Arguments(args, '').get_parsed_arg()
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
config = configuration.get_config()
@ -270,13 +317,13 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has(
'Parameter --datadir detected: {} ...'.format(config['datadir']),
'Using data folder: {} ...'.format(config['datadir']),
caplog.record_tuples
)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ...', caplog.record_tuples)
assert log_has(
'Using ticker_interval: 1 ...',
'Using ticker_interval: 1m ...',
caplog.record_tuples
)
@ -310,14 +357,13 @@ def test_hyperopt_with_arguments(mocker, default_conf, caplog) -> None:
read_data=json.dumps(default_conf)
))
args = [
arglist = [
'hyperopt',
'--epochs', '10',
'--use-mongodb',
'--spaces', 'all',
]
args = Arguments(args, '').get_parsed_arg()
args = Arguments(arglist, '').get_parsed_arg()
configuration = Configuration(args)
config = configuration.get_config()
@ -327,10 +373,32 @@ def test_hyperopt_with_arguments(mocker, default_conf, caplog) -> None:
assert log_has('Parameter --epochs detected ...', caplog.record_tuples)
assert log_has('Will run Hyperopt with for 10 epochs ...', caplog.record_tuples)
assert 'mongodb' in config
assert config['mongodb'] is True
assert log_has('Parameter --use-mongodb detected ...', caplog.record_tuples)
assert 'spaces' in config
assert config['spaces'] == ['all']
assert log_has('Parameter -s/--spaces detected: [\'all\']', caplog.record_tuples)
def test_check_exchange(default_conf) -> None:
"""
Test the configuration validator with a missing attribute
"""
conf = deepcopy(default_conf)
configuration = Configuration(Namespace())
# Test a valid exchange
conf.get('exchange').update({'name': 'BITTREX'})
assert configuration.check_exchange(conf)
# Test a valid exchange
conf.get('exchange').update({'name': 'binance'})
assert configuration.check_exchange(conf)
# Test a invalid exchange
conf.get('exchange').update({'name': 'unknown_exchange'})
configuration.config = conf
with pytest.raises(
OperationalException,
match=r'.*Exchange "unknown_exchange" not supported.*'
):
configuration.check_exchange(conf)

4
freqtrade/tests/test_dataframe.py
View File

@ -6,11 +6,11 @@ from freqtrade.analyze import Analyze
from freqtrade.optimize import load_data
from freqtrade.strategy.resolver import StrategyResolver
_pairs = ['BTC_ETH']
_pairs = ['ETH/BTC']
def load_dataframe_pair(pairs):
ld = load_data(None, ticker_interval=5, pairs=pairs)
ld = load_data(None, ticker_interval='5m', pairs=pairs)
assert isinstance(ld, dict)
assert isinstance(pairs[0], str)
dataframe = ld[pairs[0]]

99
freqtrade/tests/test_fiat_convert.py
View File

@ -6,7 +6,10 @@ from unittest.mock import MagicMock
import pytest
from requests.exceptions import RequestException
from freqtrade.fiat_convert import CryptoFiat, CryptoToFiatConverter
from freqtrade.tests.conftest import log_has, patch_coinmarketcap
def test_pair_convertion_object():
@ -37,7 +40,8 @@ def test_pair_convertion_object():
assert pair_convertion.price == 30000.123
def test_fiat_convert_is_supported():
def test_fiat_convert_is_supported(mocker):
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert fiat_convert._is_supported_fiat(fiat='USD') is True
assert fiat_convert._is_supported_fiat(fiat='usd') is True
@ -45,7 +49,9 @@ def test_fiat_convert_is_supported():
assert fiat_convert._is_supported_fiat(fiat='ABC') is False
def test_fiat_convert_add_pair():
def test_fiat_convert_add_pair(mocker):
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
pair_len = len(fiat_convert._pairs)
@ -67,18 +73,14 @@ def test_fiat_convert_add_pair():
def test_fiat_convert_find_price(mocker):
api_mock = MagicMock(return_value={
'price_usd': 12345.0,
'price_eur': 13000.2
})
mocker.patch('freqtrade.fiat_convert.Market.ticker', api_mock)
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
with pytest.raises(ValueError, match=r'The fiat ABC is not supported.'):
fiat_convert._find_price(crypto_symbol='BTC', fiat_symbol='ABC')
with pytest.raises(ValueError, match=r'The crypto symbol XRP is not supported.'):
fiat_convert.get_price(crypto_symbol='XRP', fiat_symbol='USD')
assert fiat_convert.get_price(crypto_symbol='XRP', fiat_symbol='USD') == 0.0
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=12345.0)
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='USD') == 12345.0
@ -88,12 +90,17 @@ def test_fiat_convert_find_price(mocker):
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='EUR') == 13000.2
def test_fiat_convert_unsupported_crypto(mocker, caplog):
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._cryptomap', return_value=[])
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert fiat_convert._find_price(crypto_symbol='CRYPTO_123', fiat_symbol='EUR') == 0.0
assert log_has('unsupported crypto-symbol CRYPTO_123 - returning 0.0', caplog.record_tuples)
def test_fiat_convert_get_price(mocker):
api_mock = MagicMock(return_value={
'price_usd': 28000.0,
'price_eur': 15000.0
})
mocker.patch('freqtrade.fiat_convert.Market.ticker', api_mock)
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=28000.0)
fiat_convert = CryptoToFiatConverter()
@ -124,12 +131,74 @@ def test_fiat_convert_get_price(mocker):
assert fiat_convert._pairs[0]._expiration is not expiration
def test_fiat_convert_without_network():
def test_fiat_convert_same_currencies(mocker):
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert fiat_convert.get_price(crypto_symbol='USD', fiat_symbol='USD') == 1.0
def test_fiat_convert_two_FIAT(mocker):
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert fiat_convert.get_price(crypto_symbol='USD', fiat_symbol='EUR') == 0.0
def test_loadcryptomap(mocker):
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert len(fiat_convert._cryptomap) == 2
assert fiat_convert._cryptomap["BTC"] == "1"
def test_fiat_init_network_exception(mocker):
# Because CryptoToFiatConverter is a Singleton we reset the listings
listmock = MagicMock(side_effect=RequestException)
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
listings=listmock,
)
# with pytest.raises(RequestEsxception):
fiat_convert = CryptoToFiatConverter()
fiat_convert._cryptomap = {}
fiat_convert._load_cryptomap()
length_cryptomap = len(fiat_convert._cryptomap)
assert length_cryptomap == 0
def test_fiat_convert_without_network(mocker):
# Because CryptoToFiatConverter is a Singleton we reset the value of _coinmarketcap
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
cmc_temp = CryptoToFiatConverter._coinmarketcap
CryptoToFiatConverter._coinmarketcap = None
assert fiat_convert._coinmarketcap is None
assert fiat_convert._find_price(crypto_symbol='BTC', fiat_symbol='USD') == 0.0
CryptoToFiatConverter._coinmarketcap = cmc_temp
def test_convert_amount(mocker):
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter.get_price', return_value=12345.0)
fiat_convert = CryptoToFiatConverter()
result = fiat_convert.convert_amount(
crypto_amount=1.23,
crypto_symbol="BTC",
fiat_symbol="USD"
)
assert result == 15184.35
result = fiat_convert.convert_amount(
crypto_amount=1.23,
crypto_symbol="BTC",
fiat_symbol="BTC"
)
assert result == 1.23

1079
freqtrade/tests/test_freqtradebot.py
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File diff suppressed because it is too large Load Diff

164
freqtrade/tests/test_main.py
View File

@ -3,12 +3,17 @@ Unit test file for main.py
"""
import logging
from copy import deepcopy
from unittest.mock import MagicMock
import pytest
from freqtrade.main import main, set_loggers
from freqtrade.tests.conftest import log_has
from freqtrade import OperationalException
from freqtrade.arguments import Arguments
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.main import main, set_loggers, reconfigure
from freqtrade.state import State
from freqtrade.tests.conftest import log_has, patch_exchange
def test_parse_args_backtesting(mocker) -> None:
@ -60,34 +65,153 @@ def test_set_loggers() -> None:
assert value2 is logging.INFO
def test_main(mocker, caplog) -> None:
def test_main_fatal_exception(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(
side_effect=KeyboardInterrupt
),
clean=MagicMock(),
worker=MagicMock(side_effect=Exception),
cleanup=MagicMock(),
)
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
args = ['-c', 'config.json.example']
# Test Main + the KeyboardInterrupt exception
with pytest.raises(SystemExit) as pytest_wrapped_e:
main(args)
log_has('Starting freqtrade', caplog.record_tuples)
log_has('Got SIGINT, aborting ...', caplog.record_tuples)
assert pytest_wrapped_e.type == SystemExit
assert pytest_wrapped_e.value.code == 42
# Test the BaseException case
mocker.patch(
'freqtrade.freqtradebot.FreqtradeBot.worker',
MagicMock(side_effect=BaseException)
)
with pytest.raises(SystemExit):
main(args)
log_has('Got fatal exception!', caplog.record_tuples)
assert log_has('Using config: config.json.example ...', caplog.record_tuples)
assert log_has('Fatal exception!', caplog.record_tuples)
def test_main_keyboard_interrupt(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(side_effect=KeyboardInterrupt),
cleanup=MagicMock(),
)
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
args = ['-c', 'config.json.example']
# Test Main + the KeyboardInterrupt exception
with pytest.raises(SystemExit):
main(args)
assert log_has('Using config: config.json.example ...', caplog.record_tuples)
assert log_has('SIGINT received, aborting ...', caplog.record_tuples)
def test_main_operational_exception(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(side_effect=OperationalException('Oh snap!')),
cleanup=MagicMock(),
)
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
args = ['-c', 'config.json.example']
# Test Main + the KeyboardInterrupt exception
with pytest.raises(SystemExit):
main(args)
assert log_has('Using config: config.json.example ...', caplog.record_tuples)
assert log_has('Oh snap!', caplog.record_tuples)
def test_main_reload_conf(mocker, default_conf, caplog) -> None:
"""
Test main() function
In this test we are skipping the while True loop by throwing an exception.
"""
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(return_value=State.RELOAD_CONF),
cleanup=MagicMock(),
)
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
# Raise exception as side effect to avoid endless loop
reconfigure_mock = mocker.patch(
'freqtrade.main.reconfigure', MagicMock(side_effect=Exception)
)
with pytest.raises(SystemExit):
main(['-c', 'config.json.example'])
assert reconfigure_mock.call_count == 1
assert log_has('Using config: config.json.example ...', caplog.record_tuples)
def test_reconfigure(mocker, default_conf) -> None:
""" Test recreate() function """
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
_init_modules=MagicMock(),
worker=MagicMock(side_effect=OperationalException('Oh snap!')),
cleanup=MagicMock(),
)
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: default_conf
)
mocker.patch('freqtrade.freqtradebot.CryptoToFiatConverter', MagicMock())
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtrade = FreqtradeBot(default_conf)
# Renew mock to return modified data
conf = deepcopy(default_conf)
conf['stake_amount'] += 1
mocker.patch(
'freqtrade.configuration.Configuration._load_config_file',
lambda *args, **kwargs: conf
)
# reconfigure should return a new instance
freqtrade2 = reconfigure(
freqtrade,
Arguments(['-c', 'config.json.example'], '').get_parsed_arg()
)
# Verify we have a new instance with the new config
assert freqtrade is not freqtrade2
assert freqtrade.config['stake_amount'] + 1 == freqtrade2.config['stake_amount']

38
freqtrade/tests/test_misc.py
View File

@ -9,7 +9,7 @@ from unittest.mock import MagicMock
from freqtrade.analyze import Analyze
from freqtrade.misc import (shorten_date, datesarray_to_datetimearray,
common_datearray, file_dump_json)
common_datearray, file_dump_json, format_ms_time)
from freqtrade.optimize.__init__ import load_tickerdata_file
@ -39,24 +39,24 @@ def test_datesarray_to_datetimearray(ticker_history):
assert dates[0].minute == 50
date_len = len(dates)
assert date_len == 3
assert date_len == 2
def test_common_datearray(default_conf, mocker) -> None:
def test_common_datearray(default_conf) -> None:
"""
Test common_datearray()
:return: None
"""
analyze = Analyze(default_conf)
tick = load_tickerdata_file(None, 'BTC_UNITEST', 1)
tickerlist = {'BTC_UNITEST': tick}
tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
tickerlist = {'UNITTEST/BTC': tick}
dataframes = analyze.tickerdata_to_dataframe(tickerlist)
dates = common_datearray(dataframes)
assert dates.size == dataframes['BTC_UNITEST']['date'].size
assert dates[0] == dataframes['BTC_UNITEST']['date'][0]
assert dates[-1] == dataframes['BTC_UNITEST']['date'][-1]
assert dates.size == dataframes['UNITTEST/BTC']['date'].size
assert dates[0] == dataframes['UNITTEST/BTC']['date'][0]
assert dates[-1] == dataframes['UNITTEST/BTC']['date'][-1]
def test_file_dump_json(mocker) -> None:
@ -69,3 +69,25 @@ def test_file_dump_json(mocker) -> None:
file_dump_json('somefile', [1, 2, 3])
assert file_open.call_count == 1
assert json_dump.call_count == 1
file_open = mocker.patch('freqtrade.misc.gzip.open', MagicMock())
json_dump = mocker.patch('json.dump', MagicMock())
file_dump_json('somefile', [1, 2, 3], True)
assert file_open.call_count == 1
assert json_dump.call_count == 1
def test_format_ms_time() -> None:
"""
test format_ms_time()
:return: None
"""
# Date 2018-04-10 18:02:01
date_in_epoch_ms = 1523383321000
date = format_ms_time(date_in_epoch_ms)
assert type(date) is str
res = datetime.datetime(2018, 4, 10, 18, 2, 1, tzinfo=datetime.timezone.utc)
assert date == res.astimezone(None).strftime('%Y-%m-%dT%H:%M:%S')
res = datetime.datetime(2017, 12, 13, 8, 2, 1, tzinfo=datetime.timezone.utc)
# Date 2017-12-13 08:02:01
date_in_epoch_ms = 1513152121000
assert format_ms_time(date_in_epoch_ms) == res.astimezone(None).strftime('%Y-%m-%dT%H:%M:%S')

305
freqtrade/tests/test_persistence.py
View File

@ -1,10 +1,11 @@
# pragma pylint: disable=missing-docstring, C0103
import os
from copy import deepcopy
from unittest.mock import MagicMock
import pytest
from sqlalchemy import create_engine
from freqtrade.exchange import Exchanges
from freqtrade import constants, OperationalException
from freqtrade.persistence import Trade, init, clean_dry_run_db
@ -13,90 +14,60 @@ def init_persistence(default_conf):
init(default_conf)
def test_init_create_session(default_conf, mocker):
mocker.patch.dict('freqtrade.persistence._CONF', default_conf)
def test_init_create_session(default_conf):
# Check if init create a session
init(default_conf)
assert hasattr(Trade, 'session')
assert 'Session' in type(Trade.session).__name__
def test_init_dry_run_db(default_conf, mocker):
default_conf.update({'dry_run_db': True})
mocker.patch.dict('freqtrade.persistence._CONF', default_conf)
def test_init_custom_db_url(default_conf, mocker):
conf = deepcopy(default_conf)
# First, protect the existing 'tradesv3.dry_run.sqlite' (Do not delete user data)
dry_run_db = 'tradesv3.dry_run.sqlite'
dry_run_db_swp = dry_run_db + '.swp'
# Update path to a value other than default, but still in-memory
conf.update({'db_url': 'sqlite:///tmp/freqtrade2_test.sqlite'})
create_engine_mock = mocker.patch('freqtrade.persistence.create_engine', MagicMock())
if os.path.isfile(dry_run_db):
os.rename(dry_run_db, dry_run_db_swp)
# Check if the new tradesv3.dry_run.sqlite was created
init(default_conf)
assert os.path.isfile(dry_run_db) is True
# Delete the file made for this unitest and rollback to the previous
# tradesv3.dry_run.sqlite file
# 1. Delete file from the test
if os.path.isfile(dry_run_db):
os.remove(dry_run_db)
# 2. Rollback to the initial file
if os.path.isfile(dry_run_db_swp):
os.rename(dry_run_db_swp, dry_run_db)
init(conf)
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tmp/freqtrade2_test.sqlite'
def test_init_dry_run_without_db(default_conf, mocker):
default_conf.update({'dry_run_db': False})
mocker.patch.dict('freqtrade.persistence._CONF', default_conf)
def test_init_invalid_db_url(default_conf):
conf = deepcopy(default_conf)
# First, protect the existing 'tradesv3.dry_run.sqlite' (Do not delete user data)
dry_run_db = 'tradesv3.dry_run.sqlite'
dry_run_db_swp = dry_run_db + '.swp'
if os.path.isfile(dry_run_db):
os.rename(dry_run_db, dry_run_db_swp)
# Check if the new tradesv3.dry_run.sqlite was created
init(default_conf)
assert os.path.isfile(dry_run_db) is False
# Rollback to the initial 'tradesv3.dry_run.sqlite' file
if os.path.isfile(dry_run_db_swp):
os.rename(dry_run_db_swp, dry_run_db)
# Update path to a value other than default, but still in-memory
conf.update({'db_url': 'unknown:///some.url'})
with pytest.raises(OperationalException, match=r'.*no valid database URL*'):
init(conf)
def test_init_prod_db(default_conf, mocker):
default_conf.update({'dry_run': False})
mocker.patch.dict('freqtrade.persistence._CONF', default_conf)
conf = deepcopy(default_conf)
conf.update({'dry_run': False})
conf.update({'db_url': constants.DEFAULT_DB_PROD_URL})
# First, protect the existing 'tradesv3.sqlite' (Do not delete user data)
prod_db = 'tradesv3.sqlite'
prod_db_swp = prod_db + '.swp'
create_engine_mock = mocker.patch('freqtrade.persistence.create_engine', MagicMock())
if os.path.isfile(prod_db):
os.rename(prod_db, prod_db_swp)
init(conf)
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.sqlite'
# Check if the new tradesv3.sqlite was created
init(default_conf)
assert os.path.isfile(prod_db) is True
# Delete the file made for this unitest and rollback to the previous tradesv3.sqlite file
def test_init_dryrun_db(default_conf, mocker):
conf = deepcopy(default_conf)
conf.update({'dry_run': True})
conf.update({'db_url': constants.DEFAULT_DB_DRYRUN_URL})
# 1. Delete file from the test
if os.path.isfile(prod_db):
os.remove(prod_db)
create_engine_mock = mocker.patch('freqtrade.persistence.create_engine', MagicMock())
# Rollback to the initial 'tradesv3.sqlite' file
if os.path.isfile(prod_db_swp):
os.rename(prod_db_swp, prod_db)
init(conf)
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite://'
@pytest.mark.usefixtures("init_persistence")
def test_update_with_bittrex(limit_buy_order, limit_sell_order):
def test_update_with_bittrex(limit_buy_order, limit_sell_order, fee):
"""
On this test we will buy and sell a crypto currency.
@ -125,10 +96,11 @@ def test_update_with_bittrex(limit_buy_order, limit_sell_order):
"""
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
assert trade.open_order_id is None
assert trade.open_rate is None
@ -151,12 +123,13 @@ def test_update_with_bittrex(limit_buy_order, limit_sell_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_close_trade_price(limit_buy_order, limit_sell_order):
def test_calc_open_close_trade_price(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
@ -174,12 +147,13 @@ def test_calc_open_close_trade_price(limit_buy_order, limit_sell_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price_exception(limit_buy_order):
def test_calc_close_trade_price_exception(limit_buy_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
@ -190,10 +164,11 @@ def test_calc_close_trade_price_exception(limit_buy_order):
@pytest.mark.usefixtures("init_persistence")
def test_update_open_order(limit_buy_order):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=1.00,
fee=0.1,
exchange=Exchanges.BITTREX,
fee_open=0.1,
fee_close=0.1,
exchange='bittrex',
)
assert trade.open_order_id is None
@ -201,7 +176,7 @@ def test_update_open_order(limit_buy_order):
assert trade.close_profit is None
assert trade.close_date is None
limit_buy_order['closed'] = False
limit_buy_order['status'] = 'open'
trade.update(limit_buy_order)
assert trade.open_order_id is None
@ -213,10 +188,11 @@ def test_update_open_order(limit_buy_order):
@pytest.mark.usefixtures("init_persistence")
def test_update_invalid_order(limit_buy_order):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=1.00,
fee=0.1,
exchange=Exchanges.BITTREX,
fee_open=0.1,
fee_close=0.1,
exchange='bittrex',
)
limit_buy_order['type'] = 'invalid'
with pytest.raises(ValueError, match=r'Unknown order type'):
@ -224,12 +200,13 @@ def test_update_invalid_order(limit_buy_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_open_trade_price(limit_buy_order):
def test_calc_open_trade_price(limit_buy_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'open_trade'
trade.update(limit_buy_order) # Buy @ 0.00001099
@ -242,12 +219,13 @@ def test_calc_open_trade_price(limit_buy_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_close_trade_price(limit_buy_order, limit_sell_order):
def test_calc_close_trade_price(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'close_trade'
trade.update(limit_buy_order) # Buy @ 0.00001099
@ -264,12 +242,13 @@ def test_calc_close_trade_price(limit_buy_order, limit_sell_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_profit(limit_buy_order, limit_sell_order):
def test_calc_profit(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'profit_percent'
trade.update(limit_buy_order) # Buy @ 0.00001099
@ -295,12 +274,13 @@ def test_calc_profit(limit_buy_order, limit_sell_order):
@pytest.mark.usefixtures("init_persistence")
def test_calc_profit_percent(limit_buy_order, limit_sell_order):
def test_calc_profit_percent(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'profit_percent'
trade.update(limit_buy_order) # Buy @ 0.00001099
@ -319,40 +299,43 @@ def test_calc_profit_percent(limit_buy_order, limit_sell_order):
assert trade.calc_profit_percent(fee=0.003) == 0.0614782
def test_clean_dry_run_db(default_conf):
init(default_conf, create_engine('sqlite://'))
def test_clean_dry_run_db(default_conf, fee):
init(default_conf)
# Simulate dry_run entries
trade = Trade(
pair='BTC_ETH',
pair='ETH/BTC',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='BITTREX',
exchange='bittrex',
open_order_id='dry_run_buy_12345'
)
Trade.session.add(trade)
trade = Trade(
pair='BTC_ETC',
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='BITTREX',
exchange='bittrex',
open_order_id='dry_run_sell_12345'
)
Trade.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='BTC_ETC',
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='BITTREX',
exchange='bittrex',
open_order_id='prod_buy_12345'
)
Trade.session.add(trade)
@ -364,3 +347,109 @@ def test_clean_dry_run_db(default_conf):
# We have now only the prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 1
def test_migrate_old(mocker, default_conf, fee):
"""
Test Database migration(starting with old pairformat)
"""
amount = 103.223
create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
id INTEGER NOT NULL,
exchange VARCHAR NOT NULL,
pair VARCHAR NOT NULL,
is_open BOOLEAN NOT NULL,
fee FLOAT NOT NULL,
open_rate FLOAT,
close_rate FLOAT,
close_profit FLOAT,
stake_amount FLOAT NOT NULL,
amount FLOAT,
open_date DATETIME NOT NULL,
close_date DATETIME,
open_order_id VARCHAR,
PRIMARY KEY (id),
CHECK (is_open IN (0, 1))
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
open_rate, stake_amount, amount, open_date)
VALUES ('BITTREX', 'BTC_ETC', 1, {fee},
0.00258580, {stake}, {amount},
'2017-11-28 12:44:24.000000')
""".format(fee=fee.return_value,
stake=default_conf.get("stake_amount"),
amount=amount
)
engine = create_engine('sqlite://')
mocker.patch('freqtrade.persistence.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
engine.execute(create_table_old)
engine.execute(insert_table_old)
# Run init to test migration
init(default_conf)
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()
assert trade.fee_open == fee.return_value
assert trade.fee_close == fee.return_value
assert trade.open_rate_requested is None
assert trade.close_rate_requested is None
assert trade.is_open == 1
assert trade.amount == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "bittrex"
def test_migrate_new(mocker, default_conf, fee):
"""
Test Database migration (starting with new pairformat)
"""
amount = 103.223
create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
id INTEGER NOT NULL,
exchange VARCHAR NOT NULL,
pair VARCHAR NOT NULL,
is_open BOOLEAN NOT NULL,
fee FLOAT NOT NULL,
open_rate FLOAT,
close_rate FLOAT,
close_profit FLOAT,
stake_amount FLOAT NOT NULL,
amount FLOAT,
open_date DATETIME NOT NULL,
close_date DATETIME,
open_order_id VARCHAR,
PRIMARY KEY (id),
CHECK (is_open IN (0, 1))
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
open_rate, stake_amount, amount, open_date)
VALUES ('binance', 'ETC/BTC', 1, {fee},
0.00258580, {stake}, {amount},
'2019-11-28 12:44:24.000000')
""".format(fee=fee.return_value,
stake=default_conf.get("stake_amount"),
amount=amount
)
engine = create_engine('sqlite://')
mocker.patch('freqtrade.persistence.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
engine.execute(create_table_old)
engine.execute(insert_table_old)
# Run init to test migration
init(default_conf)
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()
assert trade.fee_open == fee.return_value
assert trade.fee_close == fee.return_value
assert trade.open_rate_requested is None
assert trade.close_rate_requested is None
assert trade.is_open == 1
assert trade.amount == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "binance"

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@ -1,3 +0,0 @@
[
{"O": 0.00162008, "H": 0.00162008, "L": 0.00162008, "C": 0.00162008, "V": 108.14853839, "T": "2017-11-04T23:02:00", "BV": 0.17520927}
]

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