Merge with develop

This commit is contained in:
Anton 2018-06-08 00:29:44 +03:00
commit b4138f29c8
49 changed files with 788 additions and 516 deletions

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@ -1,6 +1,6 @@
## 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

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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

1
.gitignore vendored
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@ -8,6 +8,7 @@ logfile.txt
hyperopt_trials.pickle
user_data/
freqtrade-plot.html
freqtrade-profit-plot.html
# Byte-compiled / optimized / DLL files
__pycache__/

4
.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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@ -21,10 +21,10 @@ jobs:
- script: pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
- 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
- script: mypy freqtrade
after_success:

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@ -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:**

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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
@ -25,12 +25,12 @@ 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)
- [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)
- [Support](#support)
- [Help](#help--slack)
- [Bugs](#bugs--issues)
@ -73,7 +73,7 @@ strategy parameters with real exchange data.
## 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)
[bot documentation](https://github.com/freqtrade/freqtrade/blob/develop/docs/index.md)
to ensure you understand how the bot is working.
### Easy installation
@ -87,7 +87,7 @@ 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
```
@ -109,26 +109,26 @@ 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/gcarq/freqtrade/issues?q=is%3Aissue)
### [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/gcarq/freqtrade/issues?q=is%3Aissue)
[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/gcarq/freqtrade/issues/new) and
[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/gcarq/freqtrade/labels/enhancement)
### [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/gcarq/freqtrade/labels/enhancement).
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/gcarq/freqtrade/issues/new)
[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/gcarq/freqtrade/pulls)
### [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/gcarq/freqtrade/blob/develop/CONTRIBUTING.md)
[Contributing document](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
to understand the requirements before sending your pull-requests.
**Important:** Always create your PR against the `develop` branch, not
@ -171,14 +171,14 @@ optional arguments:
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)
- [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)
### 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

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@ -45,6 +45,7 @@
"token": "your_telegram_token",
"chat_id": "your_telegram_chat_id"
},
"db_url": "sqlite:///tradesv3.sqlite",
"initial_state": "running",
"internals": {
"process_throttle_secs": 5

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@ -14,7 +14,7 @@ real data. This is what we call
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.
@ -62,6 +62,12 @@ Where `-s TestStrategy` refers to the class name within the strategy file `test_
python3 ./freqtrade/main.py backtesting --export trades
```
**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.
@ -87,22 +93,31 @@ The full timerange specification:
`--timerange=1527595200-1527618600`
**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
```
**Downloading new set of ticker data**
To download new set of backtesting ticker data, you can use a download script.
Possibly edit pairs.json file to include/exclude pairs
If you are using Binance for example:
- 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
```
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
@ -160,4 +175,4 @@ 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)

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@ -49,7 +49,7 @@ If you want to use a strategy from a different folder you can pass `--strategy-p
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
@ -138,15 +138,15 @@ def populate_indicators(dataframe: DataFrame) -> 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).
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).
[freqtrade/default_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/strategy/default_strategy.py).
## 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).
Your next step is to learn [How to use the Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md).

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@ -9,10 +9,10 @@ it.
## Bot commands
```
usage: main.py [-h] [-v] [--version] [-c PATH] [-d PATH] [-s NAME]
[--strategy-path PATH] [--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
@ -28,17 +28,16 @@ optional arguments:
-c PATH, --config PATH
specify configuration file (default: config.json)
-d PATH, --datadir PATH
path to backtest data (default:
freqtrade/tests/testdata
path to backtest data
-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.
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?
@ -68,7 +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
@ -102,14 +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
```
@ -120,6 +119,8 @@ Backtesting also uses the config specified via `-c/--config`.
```
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
@ -137,6 +138,11 @@ optional arguments:
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?
@ -182,9 +188,9 @@ optional arguments:
## 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).

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@ -34,13 +34,14 @@ The table below will list all configuration parameters.
| `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.
@ -80,6 +81,12 @@ 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
@ -99,8 +106,10 @@ The bot was tested with the following exchanges:
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
@ -110,9 +119,10 @@ 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 Exchange API key (change them by fake api credentials)
@ -136,7 +146,7 @@ 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,
```
@ -148,12 +158,11 @@ you run it in production mode.
"key": "af8ddd35195e9dc500b9a6f799f6f5c93d89193b",
"secret": "08a9dc6db3d7b53e1acebd9275677f4b0a04f1a5",
...
}
}
```
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).

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@ -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?

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@ -14,13 +14,13 @@ parameters with Hyperopt.
## 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 +110,13 @@ 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.
@ -312,4 +312,4 @@ 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).

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)

View File

@ -2,7 +2,7 @@
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
@ -69,7 +69,7 @@ Once you have Docker installed, simply create the config file (e.g. `config.json
#### 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
@ -90,7 +90,7 @@ 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)*
@ -162,10 +162,10 @@ 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
@ -237,7 +237,7 @@ sudo apt-get install mongodb-org
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:
@ -287,7 +287,7 @@ export PATH=<path_freqtrade>/env/mongodb/bin:$PATH
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:
@ -306,7 +306,7 @@ 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)
@ -350,8 +350,8 @@ copy paste `config.json` to ``\path\freqtrade-develop\freqtrade`
>python 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)...

View File

@ -48,6 +48,12 @@ 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
The profit plotter show a picture with three plots:

View File

@ -85,7 +85,7 @@ INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close, open_rate, sta
## 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

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

View File

@ -12,7 +12,8 @@ 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.
"""

View File

@ -2,16 +2,28 @@
This module contains the argument manager class
"""
import os
import argparse
import logging
import os
import re
import arrow
from typing import List, Tuple, Optional
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
@ -72,9 +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',
)
@ -95,8 +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,
@ -104,11 +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
@ -124,8 +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 the exchange. \
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',
)
@ -137,6 +151,17 @@ 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:
@ -211,15 +236,14 @@ class Arguments(object):
self.hyperopt_options(hyperopt_cmd)
@staticmethod
def parse_timerange(text: Optional[str]) -> Optional[Tuple[Tuple,
Optional[int], Optional[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()
syntax = [(r'^-(\d{8})$', (None, 'date')),
(r'^(\d{8})-$', ('date', None)),
(r'^(\d{8})-(\d{8})$', ('date', 'date')),
@ -235,8 +259,8 @@ class Arguments(object):
if match: # Regex has matched
rvals = match.groups()
index = 0
start: Optional[int] = None
stop: Optional[int] = None
start: int = 0
stop: int = 0
if stype[0]:
starts = rvals[index]
if stype[0] == 'date' and len(starts) == 8:
@ -250,7 +274,7 @@ class Arguments(object):
stop = arrow.get(stops, 'YYYYMMDD').timestamp
else:
stop = int(stops)
return stype, start, stop
return TimeRange(stype[0], stype[1], start, stop)
raise Exception('Incorrect syntax for timerange "%s"' % text)
def scripts_options(self) -> None:
@ -264,13 +288,6 @@ class Arguments(object):
default=None
)
self.parser.add_argument(
'-db', '--db-url',
help='Show trades stored in database.',
dest='db_url',
default=None
)
def testdata_dl_options(self) -> None:
"""
Parses given arguments for testdata download
@ -297,7 +314,18 @@ class Arguments(object):
self.parser.add_argument(
'--exchange',
help='Exchange name',
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',
)

View File

@ -1,7 +1,7 @@
"""
This module contains the configuration class
"""
import os
import json
import logging
from argparse import Namespace
@ -97,22 +97,35 @@ 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
@ -145,7 +158,9 @@ 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('Using data folder: %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:
@ -157,6 +172,11 @@ 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]:

View File

@ -9,10 +9,14 @@ 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,
@ -20,8 +24,10 @@ TICKER_INTERVAL_MINUTES = {
'2h': 120,
'4h': 240,
'6h': 360,
'8h': 480,
'12h': 720,
'1d': 1440,
'3d': 4320,
'1w': 10080,
}
@ -29,7 +35,8 @@ 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"
"RUB", "SEK", "SGD", "THB", "TRY", "TWD", "ZAR", "USD",
"BTC", "ETH", "XRP", "LTC", "BCH", "USDT"
]
# Required json-schema for user specified config
@ -84,6 +91,7 @@ CONF_SCHEMA = {
},
'required': ['enabled', 'token', 'chat_id']
},
'db_url': {'type': 'string'},
'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
'internals': {
'type': 'object',

View File

@ -18,6 +18,8 @@ _API: ccxt.Exchange = None
_CONF: Dict = {}
API_RETRY_COUNT = 4
_CACHED_TICKER: Dict[str, Any] = {}
# Holds all open sell orders for dry_run
_DRY_RUN_OPEN_ORDERS: Dict[str, Any] = {}
@ -264,17 +266,29 @@ def get_tickers() -> Dict:
raise OperationalException(e)
# TODO: remove refresh argument, keeping it to keep track of where it was intended to be used
@retrier
def get_ticker(pair: str, refresh: Optional[bool] = True) -> dict:
try:
return _API.fetch_ticker(pair)
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
'Could not load ticker history due to {}. Message: {}'.format(
e.__class__.__name__, e))
except ccxt.BaseError as e:
raise OperationalException(e)
global _CACHED_TICKER
if refresh or pair not in _CACHED_TICKER.keys():
try:
data = _API.fetch_ticker(pair)
try:
_CACHED_TICKER[pair] = {
'bid': float(data['bid']),
'ask': float(data['ask']),
}
except KeyError as e:
logger.debug("Could not cache ticker data for %s", pair)
return data
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
'Could not load ticker history due to {}. Message: {}'.format(
e.__class__.__name__, e))
except ccxt.BaseError as e:
raise OperationalException(e)
else:
logger.info("returning cached ticker-data for %s", pair)
return _CACHED_TICKER[pair]
@retrier

View File

@ -33,12 +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)-> 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(
@ -57,17 +56,16 @@ class FreqtradeBot(object):
self.persistence = None
self.exchange = None
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
persistence.init(self.config, db_url)
persistence.init(self.config)
exchange.init(self.config)
# Set initial application state

View File

@ -7,6 +7,7 @@ import logging
import sys
from typing import List
from freqtrade import OperationalException
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.freqtradebot import FreqtradeBot
@ -47,6 +48,9 @@ def main(sysargv: List[str]) -> None:
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:

View File

@ -9,39 +9,40 @@ import arrow
from freqtrade import misc, constants
from freqtrade.exchange import get_ticker_history
from freqtrade.arguments import TimeRange
from user_data.hyperopt_conf import hyperopt_optimize_conf
logger = logging.getLogger(__name__)
def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -> List[Dict]:
def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
if not tickerlist:
return tickerlist
stype, start, stop = timerange
start_index = 0
stop_index = len(tickerlist)
if stype[0] == 'line':
stop_index = start
if stype[0] == 'index':
start_index = start
elif stype[0] == 'date':
while start_index < len(tickerlist) and tickerlist[start_index][0] < start * 1000:
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 stype[1] == 'line':
start_index = len(tickerlist) + stop
if stype[1] == 'index':
stop_index = stop
elif stype[1] == 'date':
while stop_index > 0 and tickerlist[stop_index-1][0] > stop * 1000:
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 [{start},{stop}] is incorrect')
raise ValueError(f'The timerange [{timerange.startts},{timerange.stopts}] is incorrect')
return tickerlist[start_index:stop_index]
@ -49,7 +50,7 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: Tuple[Tuple, int, int]) -
def load_tickerdata_file(
datadir: str, pair: str,
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Optional[List[Dict]]:
timerange: Optional[TimeRange] = None) -> Optional[List[Dict]]:
"""
Load a pair from file,
:return dict OR empty if unsuccesful
@ -84,7 +85,7 @@ def load_data(datadir: str,
ticker_interval: str,
pairs: Optional[List[str]] = None,
refresh_pairs: Optional[bool] = False,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> Dict[str, List]:
timerange: TimeRange = TimeRange()) -> Dict[str, List]:
"""
Loads ticker history data for the given parameters
:return: dict
@ -124,7 +125,7 @@ def make_testdata_path(datadir: str) -> str:
def download_pairs(datadir, pairs: List[str],
ticker_interval: str,
timerange: Optional[Tuple[Tuple, int, int]] = None) -> bool:
timerange: TimeRange = TimeRange()) -> bool:
"""For each pairs passed in parameters, download the ticker intervals"""
for pair in pairs:
try:
@ -144,7 +145,7 @@ def download_pairs(datadir, pairs: List[str],
def load_cached_data_for_updating(filename: str,
tick_interval: str,
timerange: Optional[Tuple[Tuple, int, int]]) -> Tuple[
timerange: Optional[TimeRange]) -> Tuple[
List[Any],
Optional[int]]:
"""
@ -155,10 +156,10 @@ def load_cached_data_for_updating(filename: str,
# user sets timerange, so find the start time
if timerange:
if timerange[0][0] == 'date':
since_ms = timerange[1] * 1000
elif timerange[0][1] == 'line':
num_minutes = timerange[2] * constants.TICKER_INTERVAL_MINUTES[tick_interval]
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
@ -188,7 +189,7 @@ def load_cached_data_for_updating(filename: str,
def download_backtesting_testdata(datadir: str,
pair: str,
tick_interval: str = '5m',
timerange: Optional[Tuple[Tuple, int, int]] = None) -> None:
timerange: Optional[TimeRange] = None) -> None:
"""
Download the latest ticker intervals from the exchange for the pairs passed in parameters

View File

@ -154,13 +154,22 @@ class Backtesting(object):
max_open_trades = args.get('max_open_trades', 0)
realistic = args.get('realistic', False)
record = args.get('record', None)
recordfilename = args.get('recordfn', 'backtest-result.json')
records = []
trades = []
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)
ticker = [x for x in ticker_data.itertuples()]
lock_pair_until = None
@ -196,8 +205,8 @@ class Backtesting(object):
# 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)
logger.info('Dumping backtest results to %s', recordfilename)
file_dump_json(recordfilename, records)
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
return DataFrame.from_records(trades, columns=labels)
@ -220,7 +229,7 @@ class Backtesting(object):
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = optimize.load_data( # type: ignore # timerange will be refactored
data = optimize.load_data(
self.config['datadir'],
pairs=pairs,
ticker_interval=self.ticker_interval,
@ -257,7 +266,8 @@ class Backtesting(object):
'realistic': self.config.get('realistic_simulation', False),
'sell_profit_only': sell_profit_only,
'use_sell_signal': use_sell_signal,
'record': self.config.get('export')
'record': self.config.get('export'),
'recordfn': self.config.get('exportfilename'),
}
)
logger.info(

View File

@ -497,7 +497,7 @@ class Hyperopt(Backtesting):
def start(self) -> None:
timerange = Arguments.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
data = load_data( # type: ignore # timerange will be refactored
data = load_data(
datadir=str(self.config.get('datadir')),
pairs=self.config['exchange']['pair_whitelist'],
ticker_interval=self.ticker_interval,

View File

@ -10,13 +10,14 @@ 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 sqlalchemy import inspect
from freqtrade import OperationalException
logger = logging.getLogger(__name__)
@ -24,29 +25,34 @@ _CONF = {}
_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 = _CONF.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()
@ -54,8 +60,8 @@ def init(config: dict, engine: Optional[Engine] = None) -> None:
_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 _CONF.get('dry_run', False) and db_url != 'sqlite://':
clean_dry_run_db()

View File

@ -9,6 +9,7 @@ from typing import Dict, Tuple, Any
import arrow
import sqlalchemy as sql
from pandas import DataFrame
from numpy import mean, nan_to_num
from freqtrade import exchange
from freqtrade.misc import shorten_date
@ -209,14 +210,14 @@ class RPC(object):
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,

View File

@ -9,7 +9,6 @@ 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
@ -45,7 +44,7 @@ def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
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:
@ -108,7 +107,8 @@ 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

View File

@ -310,9 +310,19 @@ def test_get_ticker(default_conf, mocker):
# if not fetching a new result we should get the cached ticker
ticker = get_ticker(pair='ETH/BTC')
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()
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)
mocker.patch('freqtrade.exchange._API', api_mock)
@ -323,6 +333,10 @@ def test_get_ticker(default_conf, mocker):
mocker.patch('freqtrade.exchange._API', api_mock)
get_ticker(pair='ETH/BTC', refresh=True)
api_mock.fetch_ticker = MagicMock(return_value={})
mocker.patch('freqtrade.exchange._API', api_mock)
get_ticker(pair='ETH/BTC', refresh=True)
def make_fetch_ohlcv_mock(data):
def fetch_ohlcv_mock(pair, timeframe, since):

View File

@ -14,7 +14,7 @@ from arrow import Arrow
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 log_has
@ -31,7 +31,7 @@ def trim_dictlist(dict_list, num):
def load_data_test(what):
timerange = ((None, 'line'), None, -100)
timerange = TimeRange(None, 'line', 0, -101)
data = optimize.load_data(None, ticker_interval='1m',
pairs=['UNITTEST/BTC'], timerange=timerange)
pair = data['UNITTEST/BTC']
@ -111,14 +111,14 @@ def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=Fals
# 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(mocker, conf=None, pair='UNITTEST/BTC', record=None):
data = optimize.load_data(None, ticker_interval='8m', pairs=[pair])
data = trim_dictlist(data, -200)
data = trim_dictlist(data, -201)
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
backtesting = Backtesting(conf)
return {
@ -219,7 +219,8 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
'--realistic-simulation',
'--refresh-pairs-cached',
'--timerange', ':100',
'--export', '/bar/foo'
'--export', '/bar/foo',
'--export-filename', 'foo_bar.json'
]
config = setup_configuration(get_args(args))
@ -260,6 +261,11 @@ 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_setup_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
@ -328,7 +334,7 @@ def test_tickerdata_to_dataframe(default_conf, mocker) -> None:
Test Backtesting.tickerdata_to_dataframe() method
"""
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
timerange = ((None, 'line'), None, -100)
timerange = TimeRange(None, 'line', 0, -100)
tick = optimize.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
tickerlist = {'UNITTEST/BTC': tick}

View File

@ -11,6 +11,7 @@ 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, \
load_cached_data_for_updating
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has
# Change this if modifying UNITTEST/BTC testdatafile
@ -176,7 +177,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts earlier than the cached data
# should fully update data
timerange = (('date', None), test_data[0][0] / 1000 - 1, None)
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -187,13 +188,13 @@ def test_load_cached_data_for_updating(mocker) -> None:
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 120
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
((None, 'line'), None, -num_lines))
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 = (('date', None), test_data[0][0] / 1000 + 1, None)
timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -202,7 +203,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -211,7 +212,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts after the chached data
# should return the chached data w/o the last item
timerange = (('date', None), test_data[-1][0] / 1000 + 1, None)
timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -220,7 +221,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -230,7 +231,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# no timeframe is set
# should return the chached data w/o the last item
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
@ -239,7 +240,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# no datafile exist
# should return timestamp start time
timerange = (('date', None), now_ts - 10000, None)
timerange = TimeRange('date', None, now_ts - 10000, 0)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
@ -248,7 +249,7 @@ def test_load_cached_data_for_updating(mocker) -> None:
# same with 'line' timeframe
num_lines = 30
timerange = ((None, 'line'), None, -num_lines)
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename + 'unexist',
'1m',
timerange)
@ -343,7 +344,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(-\d+)$
# This pattern uses the latest N elements
timerange = ((None, 'line'), None, -5)
timerange = TimeRange(None, 'line', 0, -5)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -353,7 +354,7 @@ def test_trim_tickerlist() -> None:
# 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)
@ -363,7 +364,7 @@ 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)
@ -374,7 +375,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d{8})-(\d{8})$
# This pattern extract a window between the dates
timerange = (('date', 'date'), ticker_list[5][0] / 1000, ticker_list[10][0] / 1000 - 1)
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)
@ -385,7 +386,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^-(\d{8})$
# This pattern extracts elements from the start to the date
timerange = ((None, 'date'), None, ticker_list[10][0] / 1000 - 1)
timerange = TimeRange(None, 'date', 0, ticker_list[10][0] / 1000 - 1)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -395,7 +396,7 @@ def test_trim_tickerlist() -> None:
# Test the pattern ^(\d{8})-$
# This pattern extracts elements from the date to now
timerange = (('date', None), ticker_list[10][0] / 1000 - 1, None)
timerange = TimeRange('date', None, ticker_list[10][0] / 1000 - 1, None)
ticker = trim_tickerlist(ticker_list, timerange)
ticker_len = len(ticker)
@ -405,7 +406,7 @@ def test_trim_tickerlist() -> None:
# 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)

View File

@ -7,8 +7,6 @@ Unit test file for rpc/rpc.py
from datetime import datetime
from unittest.mock import MagicMock
from sqlalchemy import create_engine
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade
from freqtrade.rpc.rpc import RPC
@ -39,7 +37,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
@ -88,7 +86,7 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
@ -123,7 +121,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
get_fee=fee
)
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']
@ -180,7 +178,7 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
get_fee=fee
)
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']
@ -206,15 +204,30 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
trade.close_date = datetime.utcnow()
trade.is_open = False
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.freqtradebot.exchange',
validate_pairs=MagicMock(),
get_ticker=ticker_sell_up
)
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
assert not error
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'
@ -243,7 +256,7 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
get_fee=fee
)
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']
@ -314,7 +327,7 @@ def test_rpc_balance_handle(default_conf, mocker):
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'])
@ -344,7 +357,7 @@ def test_rpc_start(mocker, default_conf) -> None:
get_ticker=MagicMock()
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
@ -372,7 +385,7 @@ def test_rpc_stop(mocker, default_conf) -> None:
get_ticker=MagicMock()
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.RUNNING
@ -411,7 +424,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
get_fee=fee,
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
freqtradebot.state = State.STOPPED
@ -521,7 +534,7 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
# Create some test data
@ -560,7 +573,7 @@ def test_rpc_count(mocker, default_conf, ticker, fee) -> None:
get_fee=fee,
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
rpc = RPC(freqtradebot)
(error, trades) = rpc.rpc_count()

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
@ -156,7 +155,7 @@ 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(
@ -187,7 +186,7 @@ def test_authorized_only_unauthorized(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 False
assert not log_has(
@ -217,7 +216,7 @@ def test_authorized_only_exception(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_exception(bot=MagicMock(), update=update)
assert dummy.state['called'] is False
assert not log_has(
@ -263,7 +262,7 @@ def test_status(default_conf, update, mocker, fee, ticker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -301,7 +300,7 @@ def test_status_handle(default_conf, update, ticker, fee, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -348,7 +347,7 @@ def test_status_table_handle(default_conf, update, ticker, fee, mocker) -> None:
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
@ -402,7 +401,7 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -470,7 +469,7 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Try invalid data
@ -511,7 +510,7 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
)
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)
@ -608,7 +607,7 @@ def test_telegram_balance_handle(default_conf, update, mocker) -> None:
send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
telegram._balance(bot=MagicMock(), update=update)
@ -638,7 +637,7 @@ def test_zero_balance_handle(default_conf, update, mocker) -> None:
send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
telegram._balance(bot=MagicMock(), update=update)
@ -661,7 +660,7 @@ def test_start_handle(default_conf, update, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -685,7 +684,7 @@ def test_start_handle_already_running(default_conf, update, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.RUNNING
@ -710,7 +709,7 @@ def test_stop_handle(default_conf, update, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.RUNNING
@ -735,7 +734,7 @@ def test_stop_handle_already_stopped(default_conf, update, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -762,7 +761,7 @@ def test_forcesell_handle(default_conf, update, ticker, fee, ticker_sell_up, moc
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -802,7 +801,7 @@ def test_forcesell_down_handle(default_conf, update, ticker, fee, ticker_sell_do
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -847,7 +846,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
get_fee=fee
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -880,7 +879,7 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
)
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Trader is not running
@ -927,7 +926,7 @@ def test_performance_handle(default_conf, update, ticker, fee,
get_fee=fee
)
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Create some test data
@ -962,7 +961,7 @@ def test_performance_handle_invalid(default_conf, update, mocker) -> None:
send_msg=msg_mock
)
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
# Trader is not running
@ -991,7 +990,7 @@ def test_count_handle(default_conf, update, ticker, fee, mocker) -> None:
buy=MagicMock(return_value={'id': 'mocked_order_id'})
)
mocker.patch('freqtrade.optimize.backtesting.exchange.get_fee', fee)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
freqtradebot.state = State.STOPPED
@ -1027,7 +1026,7 @@ def test_help_handle(default_conf, update, mocker) -> None:
_init=MagicMock(),
send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
telegram._help(bot=MagicMock(), update=update)
@ -1047,7 +1046,7 @@ def test_version_handle(default_conf, update, mocker) -> None:
_init=MagicMock(),
send_msg=msg_mock
)
freqtradebot = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(default_conf)
telegram = Telegram(freqtradebot)
telegram._version(bot=MagicMock(), update=update)
@ -1064,7 +1063,7 @@ def test_send_msg(default_conf, mocker) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
conf = deepcopy(default_conf)
bot = MagicMock()
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(conf)
telegram = Telegram(freqtradebot)
telegram._config['telegram']['enabled'] = False
@ -1087,7 +1086,7 @@ def test_send_msg_network_error(default_conf, mocker, caplog) -> None:
conf = deepcopy(default_conf)
bot = MagicMock()
bot.send_message = MagicMock(side_effect=NetworkError('Oh snap'))
freqtradebot = FreqtradeBot(conf, create_engine('sqlite://'))
freqtradebot = FreqtradeBot(conf)
telegram = Telegram(freqtradebot)
telegram._config['telegram']['enabled'] = True

View File

@ -13,6 +13,7 @@ from pandas import DataFrame
from freqtrade.analyze import Analyze, SignalType
from freqtrade.optimize.__init__ import load_tickerdata_file
from freqtrade.arguments import TimeRange
from freqtrade.tests.conftest import log_has
# Avoid to reinit the same object again and again
@ -183,7 +184,7 @@ def test_tickerdata_to_dataframe(default_conf) -> None:
"""
analyze = Analyze(default_conf)
timerange = ((None, 'line'), None, -100)
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)

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
@ -107,20 +112,24 @@ 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 (('index', 'index'), 200, 500) == Arguments.parse_timerange('200-500')
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 (('date', None), 1274486400, None) == Arguments.parse_timerange('20100522-')
assert ((None, 'date'), None, 1274486400) == Arguments.parse_timerange('-20100522')
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 == (('date', 'date'), 1274486400, 1438214400)
assert timerange == TimeRange('date', 'date', 1274486400, 1438214400)
# Added test for unix timestamp - BTC genesis date
assert (('date', None), 1231006505, None) == Arguments.parse_timerange('1231006505-')
assert ((None, 'date'), None, 1233360000) == Arguments.parse_timerange('-1233360000')
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)
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('-')

View File

@ -130,7 +130,6 @@ 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:
@ -145,7 +144,7 @@ def test_load_config_with_params(default_conf, mocker) -> None:
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--strategy-path', '/some/path',
'--dry-run-db',
'--db-url', 'sqlite:///someurl',
]
args = Arguments(arglist, '').get_parsed_arg()
@ -155,7 +154,7 @@ 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'
def test_load_custom_strategy(default_conf, mocker) -> None:
@ -190,7 +189,7 @@ def test_show_info(default_conf, mocker, caplog) -> None:
arglist = [
'--dynamic-whitelist', '10',
'--strategy', 'TestStrategy',
'--dry-run-db'
'--db-url', 'sqlite:///tmp/testdb',
]
args = Arguments(arglist, '').get_parsed_arg()
@ -204,23 +203,8 @@ 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}) # type: ignore
configuration._load_common_config(configuration.config) # type: ignore
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:

View File

@ -13,7 +13,6 @@ from unittest.mock import MagicMock
import arrow
import pytest
import requests
from sqlalchemy import create_engine
from freqtrade import constants, DependencyException, OperationalException, TemporaryError
from freqtrade.freqtradebot import FreqtradeBot
@ -36,7 +35,7 @@ def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock())
patch_coinmarketcap(mocker)
return FreqtradeBot(config, create_engine('sqlite://'))
return FreqtradeBot(config)
def patch_get_signal(mocker, value=(True, False)) -> None:
@ -346,7 +345,7 @@ def test_create_trade(default_conf, ticker, limit_buy_order, fee, mocker) -> Non
# Save state of current whitelist
whitelist = deepcopy(default_conf['exchange']['pair_whitelist'])
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -383,13 +382,34 @@ def test_create_trade_minimal_amount(default_conf, ticker, limit_buy_order, fee,
conf = deepcopy(default_conf)
conf['stake_amount'] = 0.0005
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
rate, amount = buy_mock.call_args[0][1], buy_mock.call_args[0][2]
assert rate * amount >= conf['stake_amount']
def test_create_trade_no_stake_amount(default_conf, ticker, limit_buy_order, fee, mocker) -> None:
"""
Test create_trade() method
"""
patch_get_signal(mocker)
patch_RPCManager(mocker)
patch_coinmarketcap(mocker)
mocker.patch.multiple(
'freqtrade.freqtradebot.exchange',
validate_pairs=MagicMock(),
get_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_balance=MagicMock(return_value=default_conf['stake_amount'] * 0.5),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
with pytest.raises(DependencyException, match=r'.*stake amount.*'):
freqtrade.create_trade()
def test_create_trade_no_pairs(default_conf, ticker, limit_buy_order, fee, mocker) -> None:
"""
Test create_trade() method
@ -408,7 +428,7 @@ def test_create_trade_no_pairs(default_conf, ticker, limit_buy_order, fee, mocke
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'] = ["ETH/BTC"]
conf['exchange']['pair_blacklist'] = ["ETH/BTC"]
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
@ -435,7 +455,7 @@ def test_create_trade_no_pairs_after_blacklist(default_conf, ticker,
conf = deepcopy(default_conf)
conf['exchange']['pair_whitelist'] = ["ETH/BTC"]
conf['exchange']['pair_blacklist'] = ["ETH/BTC"]
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
@ -463,7 +483,7 @@ def test_create_trade_no_signal(default_conf, fee, mocker) -> None:
conf = deepcopy(default_conf)
conf['stake_amount'] = 10
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
Trade.query = MagicMock()
Trade.query.filter = MagicMock()
@ -487,7 +507,7 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order,
get_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
assert not trades
@ -528,7 +548,7 @@ def test_process_exchange_failures(default_conf, ticker, markets, mocker) -> Non
)
sleep_mock = mocker.patch('time.sleep', side_effect=lambda _: None)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
result = freqtrade._process()
assert result is False
assert sleep_mock.has_calls()
@ -548,7 +568,7 @@ def test_process_operational_exception(default_conf, ticker, markets, mocker) ->
get_markets=markets,
buy=MagicMock(side_effect=OperationalException)
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
assert freqtrade.state == State.RUNNING
result = freqtrade._process()
@ -574,7 +594,7 @@ def test_process_trade_handling(
get_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
assert not trades
@ -691,7 +711,7 @@ def test_handle_trade(default_conf, limit_buy_order, limit_sell_order, fee, mock
)
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
freqtrade.create_trade()
@ -734,7 +754,7 @@ def test_handle_overlpapping_signals(default_conf, ticker, limit_buy_order, fee,
get_fee=fee,
)
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
@ -793,7 +813,7 @@ def test_handle_trade_roi(default_conf, ticker, limit_buy_order, fee, mocker, ca
)
mocker.patch('freqtrade.freqtradebot.Analyze.min_roi_reached', return_value=True)
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -830,7 +850,7 @@ def test_handle_trade_experimental(
)
mocker.patch('freqtrade.freqtradebot.Analyze.min_roi_reached', return_value=False)
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -858,7 +878,7 @@ def test_close_trade(default_conf, ticker, limit_buy_order, limit_sell_order, fe
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Create trade and sell it
freqtrade.create_trade()
@ -889,7 +909,7 @@ def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, fe
cancel_order=cancel_order_mock,
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trade_buy = Trade(
pair='ETH/BTC',
@ -929,7 +949,7 @@ def test_check_handle_timedout_sell(default_conf, ticker, limit_sell_order_old,
get_order=MagicMock(return_value=limit_sell_order_old),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trade_sell = Trade(
pair='ETH/BTC',
@ -969,7 +989,7 @@ def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old
get_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trade_buy = Trade(
pair='ETH/BTC',
@ -1017,7 +1037,7 @@ def test_check_handle_timedout_exception(default_conf, ticker, mocker, caplog) -
get_order=MagicMock(side_effect=requests.exceptions.RequestException('Oh snap')),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trade_buy = Trade(
pair='ETH/BTC',
@ -1056,7 +1076,7 @@ def test_handle_timedout_limit_buy(mocker, default_conf) -> None:
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
Trade.session = MagicMock()
trade = MagicMock()
@ -1082,7 +1102,7 @@ def test_handle_timedout_limit_sell(mocker, default_conf) -> None:
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
trade = MagicMock()
order = {'remaining': 1,
@ -1109,7 +1129,7 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N
get_fee=fee
)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Create some test data
freqtrade.create_trade()
@ -1150,7 +1170,7 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, mocker)
get_ticker=ticker,
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Create some test data
freqtrade.create_trade()
@ -1190,7 +1210,7 @@ def test_execute_sell_without_conf_sell_up(default_conf, ticker, fee,
get_ticker=ticker,
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Create some test data
freqtrade.create_trade()
@ -1231,7 +1251,7 @@ def test_execute_sell_without_conf_sell_down(default_conf, ticker, fee,
get_ticker=ticker,
get_fee=fee
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Create some test data
freqtrade.create_trade()
@ -1280,7 +1300,7 @@ def test_sell_profit_only_enable_profit(default_conf, limit_buy_order, fee, mock
'use_sell_signal': True,
'sell_profit_only': True,
}
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -1313,7 +1333,7 @@ def test_sell_profit_only_disable_profit(default_conf, limit_buy_order, fee, moc
'use_sell_signal': True,
'sell_profit_only': False,
}
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -1346,7 +1366,7 @@ def test_sell_profit_only_enable_loss(default_conf, limit_buy_order, fee, mocker
'use_sell_signal': True,
'sell_profit_only': True,
}
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -1381,7 +1401,7 @@ def test_sell_profit_only_disable_loss(default_conf, limit_buy_order, fee, mocke
'sell_profit_only': False,
}
freqtrade = FreqtradeBot(conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(conf)
freqtrade.create_trade()
trade = Trade.query.first()
@ -1409,7 +1429,7 @@ def test_get_real_amount_quote(default_conf, trades_for_order, buy_order_fee, ca
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount is reduced by "fee"
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount - (amount * 0.001)
assert log_has('Applying fee on amount for Trade(id=None, pair=LTC/ETH, amount=8.00000000, '
@ -1436,7 +1456,7 @@ def test_get_real_amount_no_trade(default_conf, buy_order_fee, caplog, mocker):
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount is reduced by "fee"
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount
assert log_has('Applying fee on amount for Trade(id=None, pair=LTC/ETH, amount=8.00000000, '
@ -1463,7 +1483,7 @@ def test_get_real_amount_stake(default_conf, trades_for_order, buy_order_fee, ca
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount does not change
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount
@ -1489,7 +1509,7 @@ def test_get_real_amount_BNB(default_conf, trades_for_order, buy_order_fee, mock
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount does not change
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount
@ -1512,7 +1532,7 @@ def test_get_real_amount_multi(default_conf, trades_for_order2, buy_order_fee, c
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount is reduced by "fee"
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount - (amount * 0.001)
assert log_has('Applying fee on amount for Trade(id=None, pair=LTC/ETH, amount=8.00000000, '
@ -1540,7 +1560,7 @@ def test_get_real_amount_fromorder(default_conf, trades_for_order, buy_order_fee
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount is reduced by "fee"
assert freqtrade.get_real_amount(trade, limit_buy_order) == amount - 0.004
assert log_has('Applying fee on amount for Trade(id=None, pair=LTC/ETH, amount=8.00000000, '
@ -1568,7 +1588,7 @@ def test_get_real_amount_invalid_order(default_conf, trades_for_order, buy_order
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount does not change
assert freqtrade.get_real_amount(trade, limit_buy_order) == amount
@ -1593,6 +1613,6 @@ def test_get_real_amount_invalid(default_conf, trades_for_order, buy_order_fee,
open_rate=0.245441,
open_order_id="123456"
)
freqtrade = FreqtradeBot(default_conf, create_engine('sqlite://'))
freqtrade = FreqtradeBot(default_conf)
# Amount does not change
assert freqtrade.get_real_amount(trade, buy_order_fee) == amount

View File

@ -1,9 +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 import constants, OperationalException
from freqtrade.persistence import Trade, init, clean_dry_run_db
@ -21,77 +23,54 @@ def test_init_create_session(default_conf, mocker):
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())
mocker.patch.dict('freqtrade.persistence._CONF', conf)
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, 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': 'unknown:///some.url'})
mocker.patch.dict('freqtrade.persistence._CONF', conf)
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)
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())
mocker.patch.dict('freqtrade.persistence._CONF', conf)
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())
mocker.patch.dict('freqtrade.persistence._CONF', conf)
# 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")
@ -328,7 +307,7 @@ def test_calc_profit_percent(limit_buy_order, limit_sell_order, fee):
def test_clean_dry_run_db(default_conf, fee):
init(default_conf, create_engine('sqlite://'))
init(default_conf)
# Simulate dry_run entries
trade = Trade(
@ -377,7 +356,7 @@ def test_clean_dry_run_db(default_conf, fee):
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 1
def test_migrate_old(default_conf, fee):
def test_migrate_old(mocker, default_conf, fee):
"""
Test Database migration(starting with old pairformat)
"""
@ -409,11 +388,13 @@ def test_migrate_old(default_conf, fee):
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, engine)
init(default_conf)
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()
@ -428,7 +409,7 @@ def test_migrate_old(default_conf, fee):
assert trade.exchange == "bittrex"
def test_migrate_new(default_conf, fee):
def test_migrate_new(mocker, default_conf, fee):
"""
Test Database migration (starting with new pairformat)
"""
@ -460,11 +441,13 @@ def test_migrate_new(default_conf, fee):
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, engine)
init(default_conf)
assert len(Trade.query.filter(Trade.id == 1).all()) == 1
trade = Trade.query.filter(Trade.id == 1).first()

View File

@ -1,4 +1,4 @@
ccxt==1.14.121
ccxt==1.14.155
SQLAlchemy==1.2.8
python-telegram-bot==10.1.0
arrow==0.12.1
@ -10,14 +10,14 @@ pandas==0.23.0
scikit-learn==0.19.1
scipy==1.1.0
jsonschema==2.6.0
numpy==1.14.3
numpy==1.14.4
TA-Lib==0.4.17
pytest==3.6.0
pytest==3.6.1
pytest-mock==1.10.0
pytest-cov==2.5.1
hyperopt==0.1
# do not upgrade networkx before this is fixed https://github.com/hyperopt/hyperopt/issues/325
networkx==1.11
networkx==1.11 # pyup: ignore
tabulate==0.8.2
coinmarketcap==5.0.3

View File

@ -8,24 +8,28 @@ import arrow
from freqtrade import (exchange, arguments, misc)
DEFAULT_DL_PATH = 'freqtrade/tests/testdata'
DEFAULT_DL_PATH = 'user_data/data'
arguments = arguments.Arguments(sys.argv[1:], 'download utility')
arguments.testdata_dl_options()
args = arguments.parse_args()
TICKER_INTERVALS = ['1m', '5m']
PAIRS = []
timeframes = args.timeframes
if args.pairs_file:
with open(args.pairs_file) as file:
PAIRS = json.load(file)
PAIRS = list(set(PAIRS))
dl_path = DEFAULT_DL_PATH
if args.export and os.path.exists(args.export):
dl_path = os.path.join(DEFAULT_DL_PATH, args.exchange)
if args.export:
dl_path = args.export
if not os.path.isdir(dl_path):
sys.exit(f'Directory {dl_path} does not exist.')
pairs_file = args.pairs_file if args.pairs_file else os.path.join(dl_path, 'pairs.json')
if not os.path.isfile(pairs_file):
sys.exit(f'No pairs file found with path {pairs_file}.')
with open(pairs_file) as file:
PAIRS = list(set(json.load(file)))
since_time = None
if args.days:
since_time = arrow.utcnow().shift(days=-args.days).timestamp * 1000
@ -40,7 +44,7 @@ exchange._API = exchange.init_ccxt({'key': '',
for pair in PAIRS:
for tick_interval in TICKER_INTERVALS:
for tick_interval in timeframes:
print(f'downloading pair {pair}, interval {tick_interval}')
data = exchange.get_ticker_history(pair, tick_interval, since_ms=since_time)

View File

@ -5,47 +5,75 @@ Script to display when the bot will buy a specific pair
Mandatory Cli parameters:
-p / --pair: pair to examine
Optional Cli parameters
Option but recommended
-s / --strategy: strategy to use
Optional Cli parameters
-d / --datadir: path to pair backtest data
--timerange: specify what timerange of data to use.
-l / --live: Live, to download the latest ticker for the pair
-db / --db-url: Show trades stored in database
Indicators recommended
Row 1: sma, ema3, ema5, ema10, ema50
Row 3: macd, rsi, fisher_rsi, mfi, slowd, slowk, fastd, fastk
Example of usage:
> python3 scripts/plot_dataframe.py --pair BTC/EUR -d user_data/data/ --indicators1 sma,ema3
--indicators2 fastk,fastd
"""
import logging
import os
import sys
from argparse import Namespace
from typing import Dict, List, Any
from typing import List
import plotly.graph_objs as go
from plotly import tools
from plotly.offline import plot
import plotly.graph_objs as go
from typing import Dict, List, Any
from sqlalchemy import create_engine
from freqtrade.arguments import Arguments
from freqtrade.analyze import Analyze
from freqtrade import exchange
import freqtrade.optimize as optimize
from freqtrade import exchange
from freqtrade import persistence
from freqtrade.analyze import Analyze
from freqtrade.arguments import Arguments
from freqtrade.optimize.backtesting import setup_configuration
from freqtrade.persistence import Trade
logger = logging.getLogger(__name__)
_CONF: Dict[str, Any] = {}
def plot_analyzed_dataframe(args: Namespace) -> None:
"""
Calls analyze() and plots the returned dataframe
:return: None
"""
pair = args.pair.replace('-', '_')
global _CONF
# Load the configuration
_CONF.update(setup_configuration(args))
# Set the pair to audit
pair = args.pair
if pair is None:
logger.critical('Parameter --pair mandatory;. E.g --pair ETH/BTC')
exit()
if '/' not in pair:
logger.critical('--pair format must be XXX/YYY')
exit()
# Set timerange to use
timerange = Arguments.parse_timerange(args.timerange)
# Init strategy
# Load the strategy
try:
analyze = Analyze({'strategy': args.strategy})
analyze = Analyze(_CONF)
exchange.init(_CONF)
except AttributeError:
logger.critical(
'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
@ -53,37 +81,75 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
)
exit()
tick_interval = analyze.strategy.ticker_interval
# Set the ticker to use
tick_interval = analyze.get_ticker_interval()
# Load pair tickers
tickers = {}
if args.live:
logger.info('Downloading pair.')
# Init Bittrex to use public API
exchange.init({'key': '', 'secret': ''})
tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
else:
tickers = optimize.load_data(
datadir=args.datadir,
pairs=[pair],
ticker_interval=tick_interval,
refresh_pairs=False,
refresh_pairs=_CONF.get('refresh_pairs', False),
timerange=timerange
)
# No ticker found, or impossible to download
if tickers == {}:
exit()
# Get trades already made from the DB
trades: List[Trade] = []
if args.db_url:
persistence.init(_CONF)
trades = Trade.query.filter(Trade.pair.is_(pair)).all()
dataframes = analyze.tickerdata_to_dataframe(tickers)
dataframe = dataframes[pair]
dataframe = analyze.populate_buy_trend(dataframe)
dataframe = analyze.populate_sell_trend(dataframe)
trades = []
if args.db_url:
engine = create_engine('sqlite:///' + args.db_url)
persistence.init(_CONF, engine)
trades = Trade.query.filter(Trade.pair.is_(pair)).all()
if len(dataframe.index) > 750:
logger.warning('Ticker contained more than 750 candles, clipping.')
data = dataframe.tail(750)
fig = generate_graph(
pair=pair,
trades=trades,
data=dataframe.tail(750),
args=args
)
plot(fig, filename=os.path.join('user_data', 'freqtrade-plot.html'))
def generate_graph(pair, trades, data, args) -> tools.make_subplots:
"""
Generate the graph from the data generated by Backtesting or from DB
:param pair: Pair to Display on the graph
:param trades: All trades created
:param data: Dataframe
:param args: sys.argv that contrains the two params indicators1, and indicators2
:return: None
"""
# Define the graph
fig = tools.make_subplots(
rows=3,
cols=1,
shared_xaxes=True,
row_width=[1, 1, 4],
vertical_spacing=0.0001,
)
fig['layout'].update(title=pair)
fig['layout']['yaxis1'].update(title='Price')
fig['layout']['yaxis2'].update(title='Volume')
fig['layout']['yaxis3'].update(title='Other')
# Common information
candles = go.Candlestick(
x=data.date,
open=data.open,
@ -145,49 +211,67 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
)
)
bb_lower = go.Scatter(
x=data.date,
y=data.bb_lowerband,
name='BB lower',
line={'color': "transparent"},
)
bb_upper = go.Scatter(
x=data.date,
y=data.bb_upperband,
name='BB upper',
fill="tonexty",
fillcolor="rgba(0,176,246,0.2)",
line={'color': "transparent"},
)
macd = go.Scattergl(x=data['date'], y=data['macd'], name='MACD')
macdsignal = go.Scattergl(x=data['date'], y=data['macdsignal'], name='MACD signal')
volume = go.Bar(x=data['date'], y=data['volume'], name='Volume')
fig = tools.make_subplots(
rows=3,
cols=1,
shared_xaxes=True,
row_width=[1, 1, 4],
vertical_spacing=0.0001,
)
# Row 1
fig.append_trace(candles, 1, 1)
fig.append_trace(bb_lower, 1, 1)
fig.append_trace(bb_upper, 1, 1)
if 'bb_lowerband' in data and 'bb_upperband' in data:
bb_lower = go.Scatter(
x=data.date,
y=data.bb_lowerband,
name='BB lower',
line={'color': "transparent"},
)
bb_upper = go.Scatter(
x=data.date,
y=data.bb_upperband,
name='BB upper',
fill="tonexty",
fillcolor="rgba(0,176,246,0.2)",
line={'color': "transparent"},
)
fig.append_trace(bb_lower, 1, 1)
fig.append_trace(bb_upper, 1, 1)
fig = generate_row(fig=fig, row=1, raw_indicators=args.indicators1, data=data)
fig.append_trace(buys, 1, 1)
fig.append_trace(sells, 1, 1)
fig.append_trace(volume, 2, 1)
fig.append_trace(macd, 3, 1)
fig.append_trace(macdsignal, 3, 1)
fig.append_trace(trade_buys, 1, 1)
fig.append_trace(trade_sells, 1, 1)
fig['layout'].update(title=args.pair)
fig['layout']['yaxis1'].update(title='Price')
fig['layout']['yaxis2'].update(title='Volume')
fig['layout']['yaxis3'].update(title='MACD')
# Row 2
volume = go.Bar(
x=data['date'],
y=data['volume'],
name='Volume'
)
fig.append_trace(volume, 2, 1)
plot(fig, filename='freqtrade-plot.html')
# Row 3
fig = generate_row(fig=fig, row=3, raw_indicators=args.indicators2, data=data)
return fig
def generate_row(fig, row, raw_indicators, data) -> tools.make_subplots:
"""
Generator all the indicator selected by the user for a specific row
"""
for indicator in raw_indicators.split(','):
if indicator in data:
scattergl = go.Scattergl(
x=data['date'],
y=data[indicator],
name=indicator
)
fig.append_trace(scattergl, row, 1)
else:
logger.info(
'Indicator "%s" ignored. Reason: This indicator is not found '
'in your strategy.',
indicator
)
return fig
def plot_parse_args(args: List[str]) -> Namespace:
@ -198,6 +282,24 @@ def plot_parse_args(args: List[str]) -> Namespace:
"""
arguments = Arguments(args, 'Graph dataframe')
arguments.scripts_options()
arguments.parser.add_argument(
'--indicators1',
help='Set indicators from your strategy you want in the first row of the graph. Separate '
'them with a coma. E.g: ema3,ema5 (default: %(default)s)',
type=str,
default='sma,ema3,ema5',
dest='indicators1',
)
arguments.parser.add_argument(
'--indicators2',
help='Set indicators from your strategy you want in the third row of the graph. Separate '
'them with a coma. E.g: fastd,fastk (default: %(default)s)',
type=str,
default='macd',
dest='indicators2',
)
arguments.common_args_parser()
arguments.optimizer_shared_options(arguments.parser)
arguments.backtesting_options(arguments.parser)

View File

@ -8,9 +8,12 @@ Mandatory Cli parameters:
Optional Cli parameters
-c / --config: specify configuration file
-s / --strategy: strategy to use
--timerange: specify what timerange of data to use.
-d / --datadir: path to pair backtest data
--timerange: specify what timerange of data to use
--export-filename: Specify where the backtest export is located.
"""
import logging
import os
import sys
import json
from argparse import Namespace
@ -90,7 +93,18 @@ def plot_profit(args: Namespace) -> None:
'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
config.get('strategy')
)
exit()
exit(0)
# Load the profits results
try:
filename = args.exportfilename
with open(filename) as file:
data = json.load(file)
except FileNotFoundError:
logger.critical(
'File "backtest-result.json" not found. This script require backtesting '
'results to run.\nPlease run a backtesting with the parameter --export.')
exit(0)
# Take pairs from the cli otherwise switch to the pair in the config file
if args.pair:
@ -140,18 +154,7 @@ def plot_profit(args: Namespace) -> None:
num += 1
avgclose /= num
# Load the profits results
# And make an profits-growth array
try:
filename = 'backtest-result.json'
with open(filename) as file:
data = json.load(file)
except FileNotFoundError:
logger.critical('File "backtest-result.json" not found. This script require backtesting '
'results to run.\nPlease run a backtesting with the parameter --export.')
exit(0)
# make an profits-growth array
pg = make_profit_array(data, num_iterations, min_date, tick_interval, filter_pairs)
#
@ -184,7 +187,7 @@ def plot_profit(args: Namespace) -> None:
)
fig.append_trace(pair_profit, 3, 1)
plot(fig, filename='freqtrade-profit-plot.html')
plot(fig, filename=os.path.join('user_data', 'freqtrade-profit-plot.html'))
def define_index(min_date: int, max_date: int, interval: str) -> int:

View File

@ -12,7 +12,7 @@ from freqtrade import __version__
setup(name='freqtrade',
version=__version__,
description='Simple High Frequency Trading Bot for crypto currencies',
url='https://github.com/gcarq/freqtrade',
url='https://github.com/freqtrade/freqtrade',
author='gcarq and contributors',
author_email='michael.egger@tsn.at',
license='GPLv3',

View File

@ -14,7 +14,7 @@ import numpy # noqa
class TestStrategy(IStrategy):
"""
This is a test strategy to inspire you.
More information in https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md
More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md
You can:
- Rename the class name (Do not forget to update class_name)