Merge branch 'develop' into feature-unlimited-stake_amount
This commit is contained in:
commit
ae94ab17f4
2
.github/ISSUE_TEMPLATE.md
vendored
2
.github/ISSUE_TEMPLATE.md
vendored
@ -6,10 +6,12 @@ If it hasn't been reported, please create a new issue.
|
||||
## Step 2: Describe your environment
|
||||
|
||||
* Python Version: _____ (`python -V`)
|
||||
* CCXT version: _____ (`pip freeze | grep ccxt`)
|
||||
* Branch: Master | Develop
|
||||
* Last Commit ID: _____ (`git log --format="%H" -n 1`)
|
||||
|
||||
## Step 3: Describe the problem:
|
||||
|
||||
*Explain the problem you have encountered*
|
||||
|
||||
### Steps to reproduce:
|
||||
|
@ -16,16 +16,15 @@ install:
|
||||
- pip install --upgrade flake8 coveralls pytest-random-order mypy
|
||||
- pip install -r requirements.txt
|
||||
- pip install -e .
|
||||
- cp config.json.example config.json
|
||||
jobs:
|
||||
include:
|
||||
- script:
|
||||
- pytest --cov=freqtrade --cov-config=.coveragerc freqtrade/tests/
|
||||
- coveralls
|
||||
- script:
|
||||
- cp config.json.example config.json
|
||||
- python freqtrade/main.py --datadir freqtrade/tests/testdata backtesting
|
||||
- script:
|
||||
- cp config.json.example config.json
|
||||
- python freqtrade/main.py --datadir freqtrade/tests/testdata hyperopt -e 5
|
||||
- script: flake8 freqtrade
|
||||
- script: mypy freqtrade
|
||||
|
@ -1,17 +1,19 @@
|
||||
# Backtesting
|
||||
|
||||
This page explains how to validate your strategy performance by using
|
||||
Backtesting.
|
||||
|
||||
## Table of Contents
|
||||
|
||||
- [Test your strategy with Backtesting](#test-your-strategy-with-backtesting)
|
||||
- [Understand the backtesting result](#understand-the-backtesting-result)
|
||||
|
||||
## Test your strategy with Backtesting
|
||||
|
||||
Now you have good Buy and Sell strategies, you want to test it against
|
||||
real data. This is what we call
|
||||
[backtesting](https://en.wikipedia.org/wiki/Backtesting).
|
||||
|
||||
|
||||
Backtesting will use the crypto-currencies (pair) from your config file
|
||||
and load static tickers located in
|
||||
[/freqtrade/tests/testdata](https://github.com/freqtrade/freqtrade/tree/develop/freqtrade/tests/testdata).
|
||||
@ -19,70 +21,80 @@ If the 5 min and 1 min ticker for the crypto-currencies to test is not
|
||||
already in the `testdata` folder, backtesting will download them
|
||||
automatically. Testdata files will not be updated until you specify it.
|
||||
|
||||
The result of backtesting will confirm you if your bot as more chance to
|
||||
make a profit than a loss.
|
||||
|
||||
The result of backtesting will confirm you if your bot has better odds of making a profit than a loss.
|
||||
|
||||
The backtesting is very easy with freqtrade.
|
||||
|
||||
### Run a backtesting against the currencies listed in your config file
|
||||
**With 5 min tickers (Per default)**
|
||||
#### With 5 min tickers (Per default)
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --realistic-simulation
|
||||
```
|
||||
|
||||
**With 1 min tickers**
|
||||
#### With 1 min tickers
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --realistic-simulation --ticker-interval 1m
|
||||
```
|
||||
|
||||
**Update cached pairs with the latest data**
|
||||
#### Update cached pairs with the latest data
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --realistic-simulation --refresh-pairs-cached
|
||||
```
|
||||
|
||||
**With live data (do not alter your testdata files)**
|
||||
#### With live data (do not alter your testdata files)
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --realistic-simulation --live
|
||||
```
|
||||
|
||||
**Using a different on-disk ticker-data source**
|
||||
#### Using a different on-disk ticker-data source
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
|
||||
```
|
||||
|
||||
**With a (custom) strategy file**
|
||||
#### With a (custom) strategy file
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py -s TestStrategy backtesting
|
||||
```
|
||||
|
||||
Where `-s TestStrategy` refers to the class name within the strategy file `test_strategy.py` found in the `freqtrade/user_data/strategies` directory
|
||||
|
||||
**Exporting trades to file**
|
||||
#### Exporting trades to file
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --export trades
|
||||
```
|
||||
|
||||
**Exporting trades to file specifying a custom filename**
|
||||
#### 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
|
||||
|
||||
**Running backtest with smaller testset**
|
||||
Use the `--timerange` argument to change how much of the testset
|
||||
you want to use. The last N ticks/timeframes will be used.
|
||||
|
||||
Example:
|
||||
|
||||
```bash
|
||||
python3 ./freqtrade/main.py backtesting --timerange=-200
|
||||
```
|
||||
|
||||
***Advanced use of timerange***
|
||||
#### Advanced use of timerange
|
||||
|
||||
Doing `--timerange=-200` will get the last 200 timeframes
|
||||
from your inputdata. You can also specify specific dates,
|
||||
or a range span indexed by start and stop.
|
||||
|
||||
The full timerange specification:
|
||||
|
||||
- Use last 123 tickframes of data: `--timerange=-123`
|
||||
- Use first 123 tickframes of data: `--timerange=123-`
|
||||
- Use tickframes from line 123 through 456: `--timerange=123-456`
|
||||
@ -92,11 +104,12 @@ The full timerange specification:
|
||||
- Use tickframes between POSIX timestamps 1527595200 1527618600:
|
||||
`--timerange=1527595200-1527618600`
|
||||
|
||||
#### Downloading new set of ticker data
|
||||
|
||||
**Downloading new set of ticker data**
|
||||
To download new set of backtesting ticker data, you can use a download script.
|
||||
|
||||
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.
|
||||
|
||||
@ -119,33 +132,55 @@ This will download ticker data for all the currency pairs you defined in `pairs.
|
||||
- To download ticker data for only 10 days, use `--days 10`.
|
||||
- Use `--timeframes` to specify which tickers to download. Default is `--timeframes 1m 5m` which will download 1-minute and 5-minute tickers.
|
||||
|
||||
|
||||
For help about backtesting usage, please refer to
|
||||
[Backtesting commands](#backtesting-commands).
|
||||
For help about backtesting usage, please refer to [Backtesting commands](#backtesting-commands).
|
||||
|
||||
## Understand the backtesting result
|
||||
|
||||
The most important in the backtesting is to understand the result.
|
||||
|
||||
A backtesting result will look like that:
|
||||
|
||||
```
|
||||
====================== BACKTESTING REPORT ================================
|
||||
pair buy count avg profit % total profit BTC avg duration
|
||||
-------- ----------- -------------- ------------------ --------------
|
||||
ETH/BTC 56 -0.67 -0.00075455 62.3
|
||||
LTC/BTC 38 -0.48 -0.00036315 57.9
|
||||
ETC/BTC 42 -1.15 -0.00096469 67.0
|
||||
DASH/BTC 72 -0.62 -0.00089368 39.9
|
||||
ZEC/BTC 45 -0.46 -0.00041387 63.2
|
||||
XLM/BTC 24 -0.88 -0.00041846 47.7
|
||||
NXT/BTC 24 0.68 0.00031833 40.2
|
||||
POWR/BTC 35 0.98 0.00064887 45.3
|
||||
ADA/BTC 43 -0.39 -0.00032292 55.0
|
||||
XMR/BTC 40 -0.40 -0.00032181 47.4
|
||||
TOTAL 419 -0.41 -0.00348593 52.9
|
||||
======================================== BACKTESTING REPORT =========================================
|
||||
| pair | buy count | avg profit % | total profit BTC | avg duration | profit | loss |
|
||||
|:---------|------------:|---------------:|-------------------:|---------------:|---------:|-------:|
|
||||
| ETH/BTC | 44 | 0.18 | 0.00159118 | 50.9 | 44 | 0 |
|
||||
| LTC/BTC | 27 | 0.10 | 0.00051931 | 103.1 | 26 | 1 |
|
||||
| ETC/BTC | 24 | 0.05 | 0.00022434 | 166.0 | 22 | 2 |
|
||||
| DASH/BTC | 29 | 0.18 | 0.00103223 | 192.2 | 29 | 0 |
|
||||
| ZEC/BTC | 65 | -0.02 | -0.00020621 | 202.7 | 62 | 3 |
|
||||
| XLM/BTC | 35 | 0.02 | 0.00012877 | 242.4 | 32 | 3 |
|
||||
| BCH/BTC | 12 | 0.62 | 0.00149284 | 50.0 | 12 | 0 |
|
||||
| POWR/BTC | 21 | 0.26 | 0.00108215 | 134.8 | 21 | 0 |
|
||||
| ADA/BTC | 54 | -0.19 | -0.00205202 | 191.3 | 47 | 7 |
|
||||
| XMR/BTC | 24 | -0.43 | -0.00206013 | 120.6 | 20 | 4 |
|
||||
| TOTAL | 335 | 0.03 | 0.00175246 | 157.9 | 315 | 20 |
|
||||
2018-06-13 06:57:27,347 - freqtrade.optimize.backtesting - INFO -
|
||||
====================================== LEFT OPEN TRADES REPORT ======================================
|
||||
| pair | buy count | avg profit % | total profit BTC | avg duration | profit | loss |
|
||||
|:---------|------------:|---------------:|-------------------:|---------------:|---------:|-------:|
|
||||
| ETH/BTC | 3 | 0.16 | 0.00009619 | 25.0 | 3 | 0 |
|
||||
| LTC/BTC | 1 | -1.00 | -0.00020118 | 1085.0 | 0 | 1 |
|
||||
| ETC/BTC | 2 | -1.80 | -0.00071933 | 1092.5 | 0 | 2 |
|
||||
| DASH/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
|
||||
| ZEC/BTC | 3 | -4.27 | -0.00256826 | 1301.7 | 0 | 3 |
|
||||
| XLM/BTC | 3 | -1.11 | -0.00066744 | 965.0 | 0 | 3 |
|
||||
| BCH/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
|
||||
| POWR/BTC | 0 | nan | 0.00000000 | nan | 0 | 0 |
|
||||
| ADA/BTC | 7 | -3.58 | -0.00503604 | 850.0 | 0 | 7 |
|
||||
| XMR/BTC | 4 | -3.79 | -0.00303456 | 291.2 | 0 | 4 |
|
||||
| TOTAL | 23 | -2.63 | -0.01213062 | 750.4 | 3 | 20 |
|
||||
|
||||
```
|
||||
|
||||
The 1st table will contain all trades the bot made.
|
||||
|
||||
The 2nd table will contain all trades the bot had to `forcesell` at the end of the backtest period to prsent a full picture.
|
||||
These trades are also included in the first table, but are extracted separately for clarity.
|
||||
|
||||
The last line will give you the overall performance of your strategy,
|
||||
here:
|
||||
|
||||
```
|
||||
TOTAL 419 -0.41 -0.00348593 52.9
|
||||
```
|
||||
@ -161,6 +196,7 @@ strategy, your sell strategy, and also by the `minimal_roi` and
|
||||
As for an example if your minimal_roi is only `"0": 0.01`. You cannot
|
||||
expect the bot to make more profit than 1% (because it will sell every
|
||||
time a trade will reach 1%).
|
||||
|
||||
```json
|
||||
"minimal_roi": {
|
||||
"0": 0.01
|
||||
@ -173,6 +209,7 @@ profit. Hence, keep in mind that your performance is a mix of your
|
||||
strategies, your configuration, and the crypto-currency you have set up.
|
||||
|
||||
## Next step
|
||||
|
||||
Great, your strategy is profitable. What if the bot can give your the
|
||||
optimal parameters to use for your strategy?
|
||||
Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
|
||||
|
@ -160,13 +160,12 @@ the parameter `-l` or `--live`.
|
||||
|
||||
## Hyperopt commands
|
||||
|
||||
It is possible to use hyperopt for trading strategy optimization.
|
||||
Hyperopt uses an internal json config return by `hyperopt_optimize_conf()`
|
||||
located in `freqtrade/optimize/hyperopt_conf.py`.
|
||||
To optimize your strategy, you can use hyperopt parameter hyperoptimization
|
||||
to find optimal parameter values for your stategy.
|
||||
|
||||
```
|
||||
usage: main.py hyperopt [-h] [-i TICKER_INTERVAL] [--realistic-simulation]
|
||||
[--timerange TIMERANGE] [-e INT] [--use-mongodb]
|
||||
[--timerange TIMERANGE] [-e INT]
|
||||
[-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]]
|
||||
|
||||
optional arguments:
|
||||
@ -176,11 +175,8 @@ optional arguments:
|
||||
--realistic-simulation
|
||||
uses max_open_trades from config to simulate real
|
||||
world limitations
|
||||
--timerange TIMERANGE
|
||||
specify what timerange of data to use.
|
||||
--timerange TIMERANGE specify what timerange of data to use.
|
||||
-e INT, --epochs INT specify number of epochs (default: 100)
|
||||
--use-mongodb parallelize evaluations with mongodb (requires mongod
|
||||
in PATH)
|
||||
-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...], --spaces {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]
|
||||
Specify which parameters to hyperopt. Space separate
|
||||
list. Default: all
|
||||
|
@ -9,7 +9,6 @@ parameters with Hyperopt.
|
||||
- [Advanced Hyperopt notions](#advanced-notions)
|
||||
- [Understand the Guards and Triggers](#understand-the-guards-and-triggers)
|
||||
- [Execute Hyperopt](#execute-hyperopt)
|
||||
- [Hyperopt with MongoDB](#hyperopt-with-mongoDB)
|
||||
- [Understand the hyperopts result](#understand-the-backtesting-result)
|
||||
|
||||
## Prepare Hyperopt
|
||||
@ -194,41 +193,6 @@ Legal values are:
|
||||
- `stoploss`: search for the best stoploss value
|
||||
- space-separated list of any of the above values for example `--spaces roi stoploss`
|
||||
|
||||
### Hyperopt with MongoDB
|
||||
Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
|
||||
executing the previous command is the execution takes a long time.
|
||||
To accelerate it you can use hyperopt with MongoDB.
|
||||
|
||||
To run hyperopt with MongoDb you will need 3 terminals.
|
||||
|
||||
**Terminal 1: Start MongoDB**
|
||||
```bash
|
||||
cd <freqtrade>
|
||||
source .env/bin/activate
|
||||
python3 scripts/start-mongodb.py
|
||||
```
|
||||
|
||||
**Terminal 2: Start Hyperopt worker**
|
||||
```bash
|
||||
cd <freqtrade>
|
||||
source .env/bin/activate
|
||||
python3 scripts/start-hyperopt-worker.py
|
||||
```
|
||||
|
||||
**Terminal 3: Start Hyperopt with MongoDB**
|
||||
```bash
|
||||
cd <freqtrade>
|
||||
source .env/bin/activate
|
||||
python3 ./freqtrade/main.py -c config.json hyperopt --use-mongodb
|
||||
```
|
||||
|
||||
**Re-run an Hyperopt**
|
||||
To re-run Hyperopt you have to delete the existing MongoDB table.
|
||||
```bash
|
||||
cd <freqtrade>
|
||||
rm -rf .hyperopt/mongodb/
|
||||
```
|
||||
|
||||
## Understand the hyperopts result
|
||||
Once Hyperopt is completed you can use the result to adding new buy
|
||||
signal. Given following result from hyperopt:
|
||||
|
@ -225,17 +225,7 @@ cd ..
|
||||
rm -rf ./ta-lib*
|
||||
```
|
||||
|
||||
#### 3. [Optional] Install MongoDB
|
||||
|
||||
Install MongoDB if you plan to optimize your strategy with Hyperopt.
|
||||
|
||||
```bash
|
||||
sudo apt-get install mongodb-org
|
||||
```
|
||||
|
||||
> Complete tutorial from Digital Ocean: [How to Install MongoDB on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04).
|
||||
|
||||
#### 4. Install FreqTrade
|
||||
#### 3. Install FreqTrade
|
||||
|
||||
Clone the git repository:
|
||||
|
||||
@ -243,7 +233,7 @@ Clone the git repository:
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
```
|
||||
|
||||
#### 5. Configure `freqtrade` as a `systemd` service
|
||||
#### 4. Configure `freqtrade` as a `systemd` service
|
||||
|
||||
From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup.
|
||||
|
||||
@ -267,19 +257,7 @@ sudo loginctl enable-linger "$USER"
|
||||
brew install python3 git wget ta-lib
|
||||
```
|
||||
|
||||
#### 2. [Optional] Install MongoDB
|
||||
|
||||
Install MongoDB if you plan to optimize your strategy with Hyperopt.
|
||||
|
||||
```bash
|
||||
curl -O https://fastdl.mongodb.org/osx/mongodb-osx-ssl-x86_64-3.4.10.tgz
|
||||
tar -zxvf mongodb-osx-ssl-x86_64-3.4.10.tgz
|
||||
mkdir -p <path_freqtrade>/env/mongodb
|
||||
cp -R -n mongodb-osx-x86_64-3.4.10/ <path_freqtrade>/env/mongodb
|
||||
export PATH=<path_freqtrade>/env/mongodb/bin:$PATH
|
||||
```
|
||||
|
||||
#### 3. Install FreqTrade
|
||||
#### 2. Install FreqTrade
|
||||
|
||||
Clone the git repository:
|
||||
|
||||
|
@ -203,12 +203,6 @@ class Arguments(object):
|
||||
type=int,
|
||||
metavar='INT',
|
||||
)
|
||||
parser.add_argument(
|
||||
'--use-mongodb',
|
||||
help='parallelize evaluations with mongodb (requires mongod in PATH)',
|
||||
dest='mongodb',
|
||||
action='store_true',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-s', '--spaces',
|
||||
help='Specify which parameters to hyperopt. Space separate list. \
|
||||
|
@ -188,11 +188,6 @@ class Configuration(object):
|
||||
logger.info('Parameter --epochs detected ...')
|
||||
logger.info('Will run Hyperopt with for %s epochs ...', config.get('epochs'))
|
||||
|
||||
# If --mongodb is used we add it to the configuration
|
||||
if 'mongodb' in self.args and self.args.mongodb:
|
||||
config.update({'mongodb': self.args.mongodb})
|
||||
logger.info('Parameter --use-mongodb detected ...')
|
||||
|
||||
# If --spaces is used we add it to the configuration
|
||||
if 'spaces' in self.args and self.args.spaces:
|
||||
config.update({'spaces': self.args.spaces})
|
||||
|
@ -11,8 +11,6 @@ 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__)
|
||||
|
||||
|
||||
@ -83,7 +81,7 @@ def load_tickerdata_file(
|
||||
|
||||
def load_data(datadir: str,
|
||||
ticker_interval: str,
|
||||
pairs: Optional[List[str]] = None,
|
||||
pairs: List[str],
|
||||
refresh_pairs: Optional[bool] = False,
|
||||
timerange: TimeRange = TimeRange(None, None, 0, 0)) -> Dict[str, List]:
|
||||
"""
|
||||
@ -92,14 +90,12 @@ def load_data(datadir: str,
|
||||
"""
|
||||
result = {}
|
||||
|
||||
_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
|
||||
|
||||
# If the user force the refresh of pairs
|
||||
if refresh_pairs:
|
||||
logger.info('Download data for all pairs and store them in %s', datadir)
|
||||
download_pairs(datadir, _pairs, ticker_interval, timerange=timerange)
|
||||
download_pairs(datadir, pairs, ticker_interval, timerange=timerange)
|
||||
|
||||
for pair in _pairs:
|
||||
for pair in pairs:
|
||||
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
|
||||
if pairdata:
|
||||
result[pair] = pairdata
|
||||
|
@ -6,7 +6,8 @@ This module contains the backtesting logic
|
||||
import logging
|
||||
import operator
|
||||
from argparse import Namespace
|
||||
from typing import Dict, Tuple, Any, List, Optional
|
||||
from datetime import datetime
|
||||
from typing import Dict, Tuple, Any, List, Optional, NamedTuple
|
||||
|
||||
import arrow
|
||||
from pandas import DataFrame
|
||||
@ -23,6 +24,21 @@ from freqtrade.persistence import Trade
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class BacktestResult(NamedTuple):
|
||||
"""
|
||||
NamedTuple Defining BacktestResults inputs.
|
||||
"""
|
||||
pair: str
|
||||
profit_percent: float
|
||||
profit_abs: float
|
||||
open_time: datetime
|
||||
close_time: datetime
|
||||
open_index: int
|
||||
close_index: int
|
||||
trade_duration: float
|
||||
open_at_end: bool
|
||||
|
||||
|
||||
class Backtesting(object):
|
||||
"""
|
||||
Backtesting class, this class contains all the logic to run a backtest
|
||||
@ -73,15 +89,15 @@ class Backtesting(object):
|
||||
headers = ['pair', 'buy count', 'avg profit %',
|
||||
'total profit ' + stake_currency, 'avg duration', 'profit', 'loss']
|
||||
for pair in data:
|
||||
result = results[results.currency == pair]
|
||||
result = results[results.pair == pair]
|
||||
tabular_data.append([
|
||||
pair,
|
||||
len(result.index),
|
||||
result.profit_percent.mean() * 100.0,
|
||||
result.profit_BTC.sum(),
|
||||
result.duration.mean(),
|
||||
len(result[result.profit_BTC > 0]),
|
||||
len(result[result.profit_BTC < 0])
|
||||
result.profit_abs.sum(),
|
||||
result.trade_duration.mean(),
|
||||
len(result[result.profit_abs > 0]),
|
||||
len(result[result.profit_abs < 0])
|
||||
])
|
||||
|
||||
# Append Total
|
||||
@ -89,16 +105,28 @@ class Backtesting(object):
|
||||
'TOTAL',
|
||||
len(results.index),
|
||||
results.profit_percent.mean() * 100.0,
|
||||
results.profit_BTC.sum(),
|
||||
results.duration.mean(),
|
||||
len(results[results.profit_BTC > 0]),
|
||||
len(results[results.profit_BTC < 0])
|
||||
results.profit_abs.sum(),
|
||||
results.trade_duration.mean(),
|
||||
len(results[results.profit_abs > 0]),
|
||||
len(results[results.profit_abs < 0])
|
||||
])
|
||||
return tabulate(tabular_data, headers=headers, floatfmt=floatfmt, tablefmt="pipe")
|
||||
|
||||
def _store_backtest_result(self, recordfilename: Optional[str], results: DataFrame) -> None:
|
||||
|
||||
records = [(trade_entry.pair, trade_entry.profit_percent,
|
||||
trade_entry.open_time.timestamp(),
|
||||
trade_entry.close_time.timestamp(),
|
||||
trade_entry.open_index - 1, trade_entry.trade_duration)
|
||||
for index, trade_entry in results.iterrows()]
|
||||
|
||||
if records:
|
||||
logger.info('Dumping backtest results to %s', recordfilename)
|
||||
file_dump_json(recordfilename, records)
|
||||
|
||||
def _get_sell_trade_entry(
|
||||
self, pair: str, buy_row: DataFrame,
|
||||
partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[Tuple]:
|
||||
partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[BacktestResult]:
|
||||
|
||||
stake_amount = args['stake_amount']
|
||||
max_open_trades = args.get('max_open_trades', 0)
|
||||
@ -121,15 +149,33 @@ class Backtesting(object):
|
||||
buy_signal = sell_row.buy
|
||||
if self.analyze.should_sell(trade, sell_row.close, sell_row.date, buy_signal,
|
||||
sell_row.sell):
|
||||
return \
|
||||
sell_row, \
|
||||
(
|
||||
pair,
|
||||
trade.calc_profit_percent(rate=sell_row.close),
|
||||
trade.calc_profit(rate=sell_row.close),
|
||||
(sell_row.date - buy_row.date).seconds // 60
|
||||
), \
|
||||
sell_row.date
|
||||
|
||||
return BacktestResult(pair=pair,
|
||||
profit_percent=trade.calc_profit_percent(rate=sell_row.close),
|
||||
profit_abs=trade.calc_profit(rate=sell_row.close),
|
||||
open_time=buy_row.date,
|
||||
close_time=sell_row.date,
|
||||
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
|
||||
open_index=buy_row.Index,
|
||||
close_index=sell_row.Index,
|
||||
open_at_end=False
|
||||
)
|
||||
if partial_ticker:
|
||||
# no sell condition found - trade stil open at end of backtest period
|
||||
sell_row = partial_ticker[-1]
|
||||
btr = BacktestResult(pair=pair,
|
||||
profit_percent=trade.calc_profit_percent(rate=sell_row.close),
|
||||
profit_abs=trade.calc_profit(rate=sell_row.close),
|
||||
open_time=buy_row.date,
|
||||
close_time=sell_row.date,
|
||||
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
|
||||
open_index=buy_row.Index,
|
||||
close_index=sell_row.Index,
|
||||
open_at_end=True
|
||||
)
|
||||
logger.debug('Force_selling still open trade %s with %s perc - %s', btr.pair,
|
||||
btr.profit_percent, btr.profit_abs)
|
||||
return btr
|
||||
return None
|
||||
|
||||
def backtest(self, args: Dict) -> DataFrame:
|
||||
@ -145,17 +191,12 @@ class Backtesting(object):
|
||||
processed: a processed dictionary with format {pair, data}
|
||||
max_open_trades: maximum number of concurrent trades (default: 0, disabled)
|
||||
realistic: do we try to simulate realistic trades? (default: True)
|
||||
sell_profit_only: sell if profit only
|
||||
use_sell_signal: act on sell-signal
|
||||
:return: DataFrame
|
||||
"""
|
||||
headers = ['date', 'buy', 'open', 'close', 'sell']
|
||||
processed = args['processed']
|
||||
max_open_trades = args.get('max_open_trades', 0)
|
||||
realistic = args.get('realistic', False)
|
||||
record = args.get('record', None)
|
||||
recordfilename = args.get('recordfn', 'backtest-result.json')
|
||||
records = []
|
||||
trades = []
|
||||
trade_count_lock: Dict = {}
|
||||
for pair, pair_data in processed.items():
|
||||
@ -170,6 +211,8 @@ class Backtesting(object):
|
||||
|
||||
ticker_data.drop(ticker_data.head(1).index, inplace=True)
|
||||
|
||||
# Convert from Pandas to list for performance reasons
|
||||
# (Looping Pandas is slow.)
|
||||
ticker = [x for x in ticker_data.itertuples()]
|
||||
|
||||
lock_pair_until = None
|
||||
@ -187,28 +230,18 @@ class Backtesting(object):
|
||||
|
||||
trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1
|
||||
|
||||
ret = self._get_sell_trade_entry(pair, row, ticker[index + 1:],
|
||||
trade_entry = self._get_sell_trade_entry(pair, row, ticker[index + 1:],
|
||||
trade_count_lock, args)
|
||||
|
||||
if ret:
|
||||
row2, trade_entry, next_date = ret
|
||||
lock_pair_until = next_date
|
||||
if trade_entry:
|
||||
lock_pair_until = trade_entry.close_time
|
||||
trades.append(trade_entry)
|
||||
if record:
|
||||
# Note, need to be json.dump friendly
|
||||
# record a tuple of pair, current_profit_percent,
|
||||
# entry-date, duration
|
||||
records.append((pair, trade_entry[1],
|
||||
row.date.strftime('%s'),
|
||||
row2.date.strftime('%s'),
|
||||
index, trade_entry[3]))
|
||||
# For now export inside backtest(), maybe change so that backtest()
|
||||
# returns a tuple like: (dataframe, records, logs, etc)
|
||||
if record and record.find('trades') >= 0:
|
||||
logger.info('Dumping backtest results to %s', recordfilename)
|
||||
file_dump_json(recordfilename, records)
|
||||
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
|
||||
return DataFrame.from_records(trades, columns=labels)
|
||||
else:
|
||||
# Set lock_pair_until to end of testing period if trade could not be closed
|
||||
# This happens only if the buy-signal was with the last candle
|
||||
lock_pair_until = ticker_data.iloc[-1].date
|
||||
|
||||
return DataFrame.from_records(trades, columns=BacktestResult._fields)
|
||||
|
||||
def start(self) -> None:
|
||||
"""
|
||||
@ -237,6 +270,9 @@ class Backtesting(object):
|
||||
timerange=timerange
|
||||
)
|
||||
|
||||
if not data:
|
||||
logger.critical("No data found. Terminating.")
|
||||
return
|
||||
# Ignore max_open_trades in backtesting, except realistic flag was passed
|
||||
if self.config.get('realistic_simulation', False):
|
||||
max_open_trades = self.config['max_open_trades']
|
||||
@ -256,24 +292,22 @@ class Backtesting(object):
|
||||
)
|
||||
|
||||
# Execute backtest and print results
|
||||
sell_profit_only = self.config.get('experimental', {}).get('sell_profit_only', False)
|
||||
use_sell_signal = self.config.get('experimental', {}).get('use_sell_signal', False)
|
||||
results = self.backtest(
|
||||
{
|
||||
'stake_amount': self.config.get('stake_amount'),
|
||||
'processed': preprocessed,
|
||||
'max_open_trades': max_open_trades,
|
||||
'realistic': self.config.get('realistic_simulation', False),
|
||||
'sell_profit_only': sell_profit_only,
|
||||
'use_sell_signal': use_sell_signal,
|
||||
'record': self.config.get('export'),
|
||||
'recordfn': self.config.get('exportfilename'),
|
||||
}
|
||||
)
|
||||
|
||||
if self.config.get('export', False):
|
||||
self._store_backtest_result(self.config.get('exportfilename'), results)
|
||||
|
||||
logger.info(
|
||||
'\n==================================== '
|
||||
'\n======================================== '
|
||||
'BACKTESTING REPORT'
|
||||
' ====================================\n'
|
||||
' =========================================\n'
|
||||
'%s',
|
||||
self._generate_text_table(
|
||||
data,
|
||||
@ -281,6 +315,17 @@ class Backtesting(object):
|
||||
)
|
||||
)
|
||||
|
||||
logger.info(
|
||||
'\n====================================== '
|
||||
'LEFT OPEN TRADES REPORT'
|
||||
' ======================================\n'
|
||||
'%s',
|
||||
self._generate_text_table(
|
||||
data,
|
||||
results.loc[results.open_at_end]
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def setup_configuration(args: Namespace) -> Dict[str, Any]:
|
||||
"""
|
||||
|
@ -19,7 +19,6 @@ from typing import Dict, Any, Callable, Optional
|
||||
import numpy
|
||||
import talib.abstract as ta
|
||||
from hyperopt import STATUS_FAIL, STATUS_OK, Trials, fmin, hp, space_eval, tpe
|
||||
from hyperopt.mongoexp import MongoTrials
|
||||
from pandas import DataFrame
|
||||
|
||||
import freqtrade.vendor.qtpylib.indicators as qtpylib
|
||||
@ -27,7 +26,6 @@ from freqtrade.arguments import Arguments
|
||||
from freqtrade.configuration import Configuration
|
||||
from freqtrade.optimize import load_data
|
||||
from freqtrade.optimize.backtesting import Backtesting
|
||||
from user_data.hyperopt_conf import hyperopt_optimize_conf
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@ -451,7 +449,7 @@ class Hyperopt(Backtesting):
|
||||
|
||||
total_profit = results.profit_percent.sum()
|
||||
trade_count = len(results.index)
|
||||
trade_duration = results.duration.mean()
|
||||
trade_duration = results.trade_duration.mean()
|
||||
|
||||
if trade_count == 0 or trade_duration > self.max_accepted_trade_duration:
|
||||
print('.', end='')
|
||||
@ -488,10 +486,10 @@ class Hyperopt(Backtesting):
|
||||
'Total profit {: 11.8f} {} ({:.4f}Σ%). Avg duration {:5.1f} mins.').format(
|
||||
len(results.index),
|
||||
results.profit_percent.mean() * 100.0,
|
||||
results.profit_BTC.sum(),
|
||||
results.profit_abs.sum(),
|
||||
self.config['stake_currency'],
|
||||
results.profit_percent.sum(),
|
||||
results.duration.mean(),
|
||||
results.trade_duration.mean(),
|
||||
)
|
||||
|
||||
def start(self) -> None:
|
||||
@ -508,18 +506,6 @@ class Hyperopt(Backtesting):
|
||||
self.analyze.populate_indicators = Hyperopt.populate_indicators # type: ignore
|
||||
self.processed = self.tickerdata_to_dataframe(data)
|
||||
|
||||
if self.config.get('mongodb'):
|
||||
logger.info('Using mongodb ...')
|
||||
logger.info(
|
||||
'Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!'
|
||||
)
|
||||
|
||||
db_name = 'freqtrade_hyperopt'
|
||||
self.trials = MongoTrials(
|
||||
arg='mongo://127.0.0.1:1234/{}/jobs'.format(db_name),
|
||||
exp_key='exp1'
|
||||
)
|
||||
else:
|
||||
logger.info('Preparing Trials..')
|
||||
signal.signal(signal.SIGINT, self.signal_handler)
|
||||
# read trials file if we have one
|
||||
@ -589,18 +575,14 @@ def start(args: Namespace) -> None:
|
||||
"""
|
||||
|
||||
# Remove noisy log messages
|
||||
logging.getLogger('hyperopt.mongoexp').setLevel(logging.WARNING)
|
||||
logging.getLogger('hyperopt.tpe').setLevel(logging.WARNING)
|
||||
|
||||
# Initialize configuration
|
||||
# Monkey patch the configuration with hyperopt_conf.py
|
||||
configuration = Configuration(args)
|
||||
logger.info('Starting freqtrade in Hyperopt mode')
|
||||
config = configuration.load_config()
|
||||
|
||||
optimize_config = hyperopt_optimize_conf()
|
||||
config = configuration._load_common_config(optimize_config)
|
||||
config = configuration._load_backtesting_config(config)
|
||||
config = configuration._load_hyperopt_config(config)
|
||||
config['exchange']['key'] = ''
|
||||
config['exchange']['secret'] = ''
|
||||
|
||||
|
@ -2,24 +2,34 @@
|
||||
This module contains class to define a RPC communications
|
||||
"""
|
||||
import logging
|
||||
from abc import abstractmethod
|
||||
from datetime import datetime, timedelta, date
|
||||
from decimal import Decimal
|
||||
from typing import Dict, Tuple, Any
|
||||
from typing import Dict, Tuple, Any, List
|
||||
|
||||
import arrow
|
||||
import sqlalchemy as sql
|
||||
from pandas import DataFrame
|
||||
from numpy import mean, nan_to_num
|
||||
from pandas import DataFrame
|
||||
|
||||
from freqtrade import exchange
|
||||
from freqtrade.misc import shorten_date
|
||||
from freqtrade.persistence import Trade
|
||||
from freqtrade.state import State
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class RPCException(Exception):
|
||||
"""
|
||||
Should be raised with a rpc-formatted message in an _rpc_* method
|
||||
if the required state is wrong, i.e.:
|
||||
|
||||
raise RPCException('*Status:* `no active trade`')
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
class RPC(object):
|
||||
"""
|
||||
RPC class can be used to have extra feature, like bot data, and access to DB data
|
||||
@ -30,20 +40,32 @@ class RPC(object):
|
||||
:param freqtrade: Instance of a freqtrade bot
|
||||
:return: None
|
||||
"""
|
||||
self.freqtrade = freqtrade
|
||||
self._freqtrade = freqtrade
|
||||
|
||||
def rpc_trade_status(self) -> Tuple[bool, Any]:
|
||||
@abstractmethod
|
||||
def cleanup(self) -> None:
|
||||
""" Cleanup pending module resources """
|
||||
|
||||
@property
|
||||
@abstractmethod
|
||||
def name(self) -> str:
|
||||
""" Returns the lowercase name of this module """
|
||||
|
||||
@abstractmethod
|
||||
def send_msg(self, msg: str) -> None:
|
||||
""" Sends a message to all registered rpc modules """
|
||||
|
||||
def _rpc_trade_status(self) -> List[str]:
|
||||
"""
|
||||
Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
|
||||
a remotely exposed function
|
||||
:return:
|
||||
"""
|
||||
# Fetch open trade
|
||||
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
|
||||
if self.freqtrade.state != State.RUNNING:
|
||||
return True, '*Status:* `trader is not running`'
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
raise RPCException('*Status:* `trader is not running`')
|
||||
elif not trades:
|
||||
return True, '*Status:* `no active trade`'
|
||||
raise RPCException('*Status:* `no active trade`')
|
||||
else:
|
||||
result = []
|
||||
for trade in trades:
|
||||
@ -82,14 +104,14 @@ class RPC(object):
|
||||
) if order else None,
|
||||
)
|
||||
result.append(message)
|
||||
return False, result
|
||||
return result
|
||||
|
||||
def rpc_status_table(self) -> Tuple[bool, Any]:
|
||||
def _rpc_status_table(self) -> DataFrame:
|
||||
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
|
||||
if self.freqtrade.state != State.RUNNING:
|
||||
return True, '*Status:* `trader is not running`'
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
raise RPCException('*Status:* `trader is not running`')
|
||||
elif not trades:
|
||||
return True, '*Status:* `no active order`'
|
||||
raise RPCException('*Status:* `no active order`')
|
||||
else:
|
||||
trades_list = []
|
||||
for trade in trades:
|
||||
@ -105,22 +127,18 @@ class RPC(object):
|
||||
columns = ['ID', 'Pair', 'Since', 'Profit']
|
||||
df_statuses = DataFrame.from_records(trades_list, columns=columns)
|
||||
df_statuses = df_statuses.set_index(columns[0])
|
||||
# The style used throughout is to return a tuple
|
||||
# consisting of (error_occured?, result)
|
||||
# Another approach would be to just return the
|
||||
# result, or raise error
|
||||
return False, df_statuses
|
||||
return df_statuses
|
||||
|
||||
def rpc_daily_profit(
|
||||
def _rpc_daily_profit(
|
||||
self, timescale: int,
|
||||
stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
|
||||
stake_currency: str, fiat_display_currency: str) -> List[List[Any]]:
|
||||
today = datetime.utcnow().date()
|
||||
profit_days: Dict[date, Dict] = {}
|
||||
|
||||
if not (isinstance(timescale, int) and timescale > 0):
|
||||
return True, '*Daily [n]:* `must be an integer greater than 0`'
|
||||
raise RPCException('*Daily [n]:* `must be an integer greater than 0`')
|
||||
|
||||
fiat = self.freqtrade.fiat_converter
|
||||
fiat = self._freqtrade.fiat_converter
|
||||
for day in range(0, timescale):
|
||||
profitday = today - timedelta(days=day)
|
||||
trades = Trade.query \
|
||||
@ -135,7 +153,7 @@ class RPC(object):
|
||||
'trades': len(trades)
|
||||
}
|
||||
|
||||
stats = [
|
||||
return [
|
||||
[
|
||||
key,
|
||||
'{value:.8f} {symbol}'.format(
|
||||
@ -157,13 +175,10 @@ class RPC(object):
|
||||
]
|
||||
for key, value in profit_days.items()
|
||||
]
|
||||
return False, stats
|
||||
|
||||
def rpc_trade_statistics(
|
||||
self, stake_currency: str, fiat_display_currency: str) -> Tuple[bool, Any]:
|
||||
"""
|
||||
:return: cumulative profit statistics.
|
||||
"""
|
||||
def _rpc_trade_statistics(
|
||||
self, stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
|
||||
""" Returns cumulative profit statistics """
|
||||
trades = Trade.query.order_by(Trade.id).all()
|
||||
|
||||
profit_all_coin = []
|
||||
@ -201,13 +216,13 @@ class RPC(object):
|
||||
.order_by(sql.text('profit_sum DESC')).first()
|
||||
|
||||
if not best_pair:
|
||||
return True, '*Status:* `no closed trade`'
|
||||
raise RPCException('*Status:* `no closed trade`')
|
||||
|
||||
bp_pair, bp_rate = best_pair
|
||||
|
||||
# FIX: we want to keep fiatconverter in a state/environment,
|
||||
# doing this will utilize its caching functionallity, instead we reinitialize it here
|
||||
fiat = self.freqtrade.fiat_converter
|
||||
fiat = self._freqtrade.fiat_converter
|
||||
# Prepare data to display
|
||||
profit_closed_coin = round(sum(profit_closed_coin), 8)
|
||||
profit_closed_percent = round(nan_to_num(mean(profit_closed_percent)) * 100, 2)
|
||||
@ -224,9 +239,7 @@ class RPC(object):
|
||||
fiat_display_currency
|
||||
)
|
||||
num = float(len(durations) or 1)
|
||||
return (
|
||||
False,
|
||||
{
|
||||
return {
|
||||
'profit_closed_coin': profit_closed_coin,
|
||||
'profit_closed_percent': profit_closed_percent,
|
||||
'profit_closed_fiat': profit_closed_fiat,
|
||||
@ -238,21 +251,17 @@ class RPC(object):
|
||||
'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
|
||||
'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
|
||||
'best_pair': bp_pair,
|
||||
'best_rate': round(bp_rate * 100, 2)
|
||||
'best_rate': round(bp_rate * 100, 2),
|
||||
}
|
||||
)
|
||||
|
||||
def rpc_balance(self, fiat_display_currency: str) -> Tuple[bool, Any]:
|
||||
"""
|
||||
:return: current account balance per crypto
|
||||
"""
|
||||
def _rpc_balance(self, fiat_display_currency: str) -> Tuple[List[Dict], float, str, float]:
|
||||
""" Returns current account balance per crypto """
|
||||
output = []
|
||||
total = 0.0
|
||||
for coin, balance in exchange.get_balances().items():
|
||||
if not balance['total']:
|
||||
continue
|
||||
|
||||
rate = None
|
||||
if coin == 'BTC':
|
||||
rate = 1.0
|
||||
else:
|
||||
@ -272,44 +281,39 @@ class RPC(object):
|
||||
}
|
||||
)
|
||||
if total == 0.0:
|
||||
return True, '`All balances are zero.`'
|
||||
raise RPCException('`All balances are zero.`')
|
||||
|
||||
fiat = self.freqtrade.fiat_converter
|
||||
fiat = self._freqtrade.fiat_converter
|
||||
symbol = fiat_display_currency
|
||||
value = fiat.convert_amount(total, 'BTC', symbol)
|
||||
return False, (output, total, symbol, value)
|
||||
return output, total, symbol, value
|
||||
|
||||
def rpc_start(self) -> Tuple[bool, str]:
|
||||
"""
|
||||
Handler for start.
|
||||
"""
|
||||
if self.freqtrade.state == State.RUNNING:
|
||||
return True, '*Status:* `already running`'
|
||||
def _rpc_start(self) -> str:
|
||||
""" Handler for start """
|
||||
if self._freqtrade.state == State.RUNNING:
|
||||
return '*Status:* `already running`'
|
||||
|
||||
self.freqtrade.state = State.RUNNING
|
||||
return False, '`Starting trader ...`'
|
||||
self._freqtrade.state = State.RUNNING
|
||||
return '`Starting trader ...`'
|
||||
|
||||
def rpc_stop(self) -> Tuple[bool, str]:
|
||||
"""
|
||||
Handler for stop.
|
||||
"""
|
||||
if self.freqtrade.state == State.RUNNING:
|
||||
self.freqtrade.state = State.STOPPED
|
||||
return False, '`Stopping trader ...`'
|
||||
def _rpc_stop(self) -> str:
|
||||
""" Handler for stop """
|
||||
if self._freqtrade.state == State.RUNNING:
|
||||
self._freqtrade.state = State.STOPPED
|
||||
return '`Stopping trader ...`'
|
||||
|
||||
return True, '*Status:* `already stopped`'
|
||||
return '*Status:* `already stopped`'
|
||||
|
||||
def rpc_reload_conf(self) -> str:
|
||||
def _rpc_reload_conf(self) -> str:
|
||||
""" Handler for reload_conf. """
|
||||
self.freqtrade.state = State.RELOAD_CONF
|
||||
self._freqtrade.state = State.RELOAD_CONF
|
||||
return '*Status:* `Reloading config ...`'
|
||||
|
||||
# FIX: no test for this!!!!
|
||||
def rpc_forcesell(self, trade_id) -> Tuple[bool, Any]:
|
||||
def _rpc_forcesell(self, trade_id) -> None:
|
||||
"""
|
||||
Handler for forcesell <id>.
|
||||
Sells the given trade at current price
|
||||
:return: error or None
|
||||
"""
|
||||
def _exec_forcesell(trade: Trade) -> None:
|
||||
# Check if there is there is an open order
|
||||
@ -335,17 +339,17 @@ class RPC(object):
|
||||
|
||||
# Get current rate and execute sell
|
||||
current_rate = exchange.get_ticker(trade.pair, False)['bid']
|
||||
self.freqtrade.execute_sell(trade, current_rate)
|
||||
self._freqtrade.execute_sell(trade, current_rate)
|
||||
# ---- EOF def _exec_forcesell ----
|
||||
|
||||
if self.freqtrade.state != State.RUNNING:
|
||||
return True, '`trader is not running`'
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
raise RPCException('`trader is not running`')
|
||||
|
||||
if trade_id == 'all':
|
||||
# Execute sell for all open orders
|
||||
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
|
||||
_exec_forcesell(trade)
|
||||
return False, ''
|
||||
return
|
||||
|
||||
# Query for trade
|
||||
trade = Trade.query.filter(
|
||||
@ -356,19 +360,18 @@ class RPC(object):
|
||||
).first()
|
||||
if not trade:
|
||||
logger.warning('forcesell: Invalid argument received')
|
||||
return True, 'Invalid argument.'
|
||||
raise RPCException('Invalid argument.')
|
||||
|
||||
_exec_forcesell(trade)
|
||||
Trade.session.flush()
|
||||
return False, ''
|
||||
|
||||
def rpc_performance(self) -> Tuple[bool, Any]:
|
||||
def _rpc_performance(self) -> List[Dict]:
|
||||
"""
|
||||
Handler for performance.
|
||||
Shows a performance statistic from finished trades
|
||||
"""
|
||||
if self.freqtrade.state != State.RUNNING:
|
||||
return True, '`trader is not running`'
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
raise RPCException('`trader is not running`')
|
||||
|
||||
pair_rates = Trade.session.query(Trade.pair,
|
||||
sql.func.sum(Trade.close_profit).label('profit_sum'),
|
||||
@ -377,19 +380,14 @@ class RPC(object):
|
||||
.group_by(Trade.pair) \
|
||||
.order_by(sql.text('profit_sum DESC')) \
|
||||
.all()
|
||||
trades = []
|
||||
for (pair, rate, count) in pair_rates:
|
||||
trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
|
||||
return [
|
||||
{'pair': pair, 'profit': round(rate * 100, 2), 'count': count}
|
||||
for pair, rate, count in pair_rates
|
||||
]
|
||||
|
||||
return False, trades
|
||||
def _rpc_count(self) -> List[Trade]:
|
||||
""" Returns the number of trades running """
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
raise RPCException('`trader is not running`')
|
||||
|
||||
def rpc_count(self) -> Tuple[bool, Any]:
|
||||
"""
|
||||
Returns the number of trades running
|
||||
:return: None
|
||||
"""
|
||||
if self.freqtrade.state != State.RUNNING:
|
||||
return True, '`trader is not running`'
|
||||
|
||||
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
|
||||
return False, trades
|
||||
return Trade.query.filter(Trade.is_open.is_(True)).all()
|
||||
|
@ -1,11 +1,10 @@
|
||||
"""
|
||||
This module contains class to manage RPC communications (Telegram, Slack, ...)
|
||||
"""
|
||||
from typing import Any, List
|
||||
import logging
|
||||
from typing import List
|
||||
|
||||
from freqtrade.rpc.telegram import Telegram
|
||||
|
||||
from freqtrade.rpc.rpc import RPC
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@ -15,36 +14,23 @@ class RPCManager(object):
|
||||
Class to manage RPC objects (Telegram, Slack, ...)
|
||||
"""
|
||||
def __init__(self, freqtrade) -> None:
|
||||
"""
|
||||
Initializes all enabled rpc modules
|
||||
:param config: config to use
|
||||
:return: None
|
||||
"""
|
||||
self.freqtrade = freqtrade
|
||||
""" Initializes all enabled rpc modules """
|
||||
self.registered_modules: List[RPC] = []
|
||||
|
||||
self.registered_modules: List[str] = []
|
||||
self.telegram: Any = None
|
||||
self._init()
|
||||
|
||||
def _init(self) -> None:
|
||||
"""
|
||||
Init RPC modules
|
||||
:return:
|
||||
"""
|
||||
if self.freqtrade.config['telegram'].get('enabled', False):
|
||||
# Enable telegram
|
||||
if freqtrade.config['telegram'].get('enabled', False):
|
||||
logger.info('Enabling rpc.telegram ...')
|
||||
self.registered_modules.append('telegram')
|
||||
self.telegram = Telegram(self.freqtrade)
|
||||
from freqtrade.rpc.telegram import Telegram
|
||||
self.registered_modules.append(Telegram(freqtrade))
|
||||
|
||||
def cleanup(self) -> None:
|
||||
"""
|
||||
Stops all enabled rpc modules
|
||||
:return: None
|
||||
"""
|
||||
if 'telegram' in self.registered_modules:
|
||||
logger.info('Cleaning up rpc.telegram ...')
|
||||
self.registered_modules.remove('telegram')
|
||||
self.telegram.cleanup()
|
||||
""" Stops all enabled rpc modules """
|
||||
logger.info('Cleaning up rpc modules ...')
|
||||
while self.registered_modules:
|
||||
mod = self.registered_modules.pop()
|
||||
logger.debug('Cleaning up rpc.%s ...', mod.name)
|
||||
mod.cleanup()
|
||||
del mod
|
||||
|
||||
def send_msg(self, msg: str) -> None:
|
||||
"""
|
||||
@ -52,6 +38,7 @@ class RPCManager(object):
|
||||
:param msg: message
|
||||
:return: None
|
||||
"""
|
||||
logger.info(msg)
|
||||
if 'telegram' in self.registered_modules:
|
||||
self.telegram.send_msg(msg)
|
||||
logger.info('Sending rpc message: %s', msg)
|
||||
for mod in self.registered_modules:
|
||||
logger.debug('Forwarding message to rpc.%s', mod.name)
|
||||
mod.send_msg(msg)
|
||||
|
@ -12,11 +12,12 @@ from telegram.error import NetworkError, TelegramError
|
||||
from telegram.ext import CommandHandler, Updater
|
||||
|
||||
from freqtrade.__init__ import __version__
|
||||
from freqtrade.rpc.rpc import RPC
|
||||
|
||||
from freqtrade.rpc.rpc import RPC, RPCException
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
logger.debug('Included module rpc.telegram ...')
|
||||
|
||||
|
||||
def authorized_only(command_handler: Callable[[Any, Bot, Update], None]) -> Callable[..., Any]:
|
||||
"""
|
||||
@ -25,9 +26,7 @@ def authorized_only(command_handler: Callable[[Any, Bot, Update], None]) -> Call
|
||||
:return: decorated function
|
||||
"""
|
||||
def wrapper(self, *args, **kwargs):
|
||||
"""
|
||||
Decorator logic
|
||||
"""
|
||||
""" Decorator logic """
|
||||
update = kwargs.get('update') or args[1]
|
||||
|
||||
# Reject unauthorized messages
|
||||
@ -54,9 +53,12 @@ def authorized_only(command_handler: Callable[[Any, Bot, Update], None]) -> Call
|
||||
|
||||
|
||||
class Telegram(RPC):
|
||||
"""
|
||||
Telegram, this class send messages to Telegram
|
||||
"""
|
||||
""" This class handles all telegram communication """
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
return "telegram"
|
||||
|
||||
def __init__(self, freqtrade) -> None:
|
||||
"""
|
||||
Init the Telegram call, and init the super class RPC
|
||||
@ -74,12 +76,7 @@ class Telegram(RPC):
|
||||
Initializes this module with the given config,
|
||||
registers all known command handlers
|
||||
and starts polling for message updates
|
||||
:param config: config to use
|
||||
:return: None
|
||||
"""
|
||||
if not self.is_enabled():
|
||||
return
|
||||
|
||||
self._updater = Updater(token=self._config['telegram']['token'], workers=0)
|
||||
|
||||
# Register command handler and start telegram message polling
|
||||
@ -115,16 +112,11 @@ class Telegram(RPC):
|
||||
Stops all running telegram threads.
|
||||
:return: None
|
||||
"""
|
||||
if not self.is_enabled():
|
||||
return
|
||||
|
||||
self._updater.stop()
|
||||
|
||||
def is_enabled(self) -> bool:
|
||||
"""
|
||||
Returns True if the telegram module is activated, False otherwise
|
||||
"""
|
||||
return bool(self._config.get('telegram', {}).get('enabled', False))
|
||||
def send_msg(self, msg: str) -> None:
|
||||
""" Send a message to telegram channel """
|
||||
self._send_msg(msg)
|
||||
|
||||
@authorized_only
|
||||
def _status(self, bot: Bot, update: Update) -> None:
|
||||
@ -143,13 +135,11 @@ class Telegram(RPC):
|
||||
self._status_table(bot, update)
|
||||
return
|
||||
|
||||
# Fetch open trade
|
||||
(error, trades) = self.rpc_trade_status()
|
||||
if error:
|
||||
self.send_msg(trades, bot=bot)
|
||||
else:
|
||||
for trademsg in trades:
|
||||
self.send_msg(trademsg, bot=bot)
|
||||
try:
|
||||
for trade_msg in self._rpc_trade_status():
|
||||
self._send_msg(trade_msg, bot=bot)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _status_table(self, bot: Bot, update: Update) -> None:
|
||||
@ -160,15 +150,12 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
# Fetch open trade
|
||||
(err, df_statuses) = self.rpc_status_table()
|
||||
if err:
|
||||
self.send_msg(df_statuses, bot=bot)
|
||||
else:
|
||||
try:
|
||||
df_statuses = self._rpc_status_table()
|
||||
message = tabulate(df_statuses, headers='keys', tablefmt='simple')
|
||||
message = "<pre>{}</pre>".format(message)
|
||||
|
||||
self.send_msg(message, parse_mode=ParseMode.HTML)
|
||||
self._send_msg("<pre>{}</pre>".format(message), parse_mode=ParseMode.HTML)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _daily(self, bot: Bot, update: Update) -> None:
|
||||
@ -183,14 +170,12 @@ class Telegram(RPC):
|
||||
timescale = int(update.message.text.replace('/daily', '').strip())
|
||||
except (TypeError, ValueError):
|
||||
timescale = 7
|
||||
(error, stats) = self.rpc_daily_profit(
|
||||
try:
|
||||
stats = self._rpc_daily_profit(
|
||||
timescale,
|
||||
self._config['stake_currency'],
|
||||
self._config['fiat_display_currency']
|
||||
)
|
||||
if error:
|
||||
self.send_msg(stats, bot=bot)
|
||||
else:
|
||||
stats = tabulate(stats,
|
||||
headers=[
|
||||
'Day',
|
||||
@ -199,11 +184,10 @@ class Telegram(RPC):
|
||||
],
|
||||
tablefmt='simple')
|
||||
message = '<b>Daily Profit over the last {} days</b>:\n<pre>{}</pre>'\
|
||||
.format(
|
||||
timescale,
|
||||
stats
|
||||
)
|
||||
self.send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
|
||||
.format(timescale, stats)
|
||||
self._send_msg(message, bot=bot, parse_mode=ParseMode.HTML)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _profit(self, bot: Bot, update: Update) -> None:
|
||||
@ -214,13 +198,10 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
(error, stats) = self.rpc_trade_statistics(
|
||||
try:
|
||||
stats = self._rpc_trade_statistics(
|
||||
self._config['stake_currency'],
|
||||
self._config['fiat_display_currency']
|
||||
)
|
||||
if error:
|
||||
self.send_msg(stats, bot=bot)
|
||||
return
|
||||
self._config['fiat_display_currency'])
|
||||
|
||||
# Message to display
|
||||
markdown_msg = "*ROI:* Close trades\n" \
|
||||
@ -250,19 +231,16 @@ class Telegram(RPC):
|
||||
best_pair=stats['best_pair'],
|
||||
best_rate=stats['best_rate']
|
||||
)
|
||||
self.send_msg(markdown_msg, bot=bot)
|
||||
self._send_msg(markdown_msg, bot=bot)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _balance(self, bot: Bot, update: Update) -> None:
|
||||
"""
|
||||
Handler for /balance
|
||||
"""
|
||||
(error, result) = self.rpc_balance(self._config['fiat_display_currency'])
|
||||
if error:
|
||||
self.send_msg('`All balances are zero.`')
|
||||
return
|
||||
|
||||
(currencys, total, symbol, value) = result
|
||||
""" Handler for /balance """
|
||||
try:
|
||||
currencys, total, symbol, value = \
|
||||
self._rpc_balance(self._config['fiat_display_currency'])
|
||||
output = ''
|
||||
for currency in currencys:
|
||||
output += "*{currency}:*\n" \
|
||||
@ -274,7 +252,9 @@ class Telegram(RPC):
|
||||
output += "\n*Estimated Value*:\n" \
|
||||
"\t`BTC: {0: .8f}`\n" \
|
||||
"\t`{1}: {2: .2f}`\n".format(total, symbol, value)
|
||||
self.send_msg(output)
|
||||
self._send_msg(output, bot=bot)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _start(self, bot: Bot, update: Update) -> None:
|
||||
@ -285,9 +265,8 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
(error, msg) = self.rpc_start()
|
||||
if error:
|
||||
self.send_msg(msg, bot=bot)
|
||||
msg = self._rpc_start()
|
||||
self._send_msg(msg, bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _stop(self, bot: Bot, update: Update) -> None:
|
||||
@ -298,8 +277,8 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
(error, msg) = self.rpc_stop()
|
||||
self.send_msg(msg, bot=bot)
|
||||
msg = self._rpc_stop()
|
||||
self._send_msg(msg, bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _reload_conf(self, bot: Bot, update: Update) -> None:
|
||||
@ -310,8 +289,8 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
msg = self.rpc_reload_conf()
|
||||
self.send_msg(msg, bot=bot)
|
||||
msg = self._rpc_reload_conf()
|
||||
self._send_msg(msg, bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _forcesell(self, bot: Bot, update: Update) -> None:
|
||||
@ -324,10 +303,10 @@ class Telegram(RPC):
|
||||
"""
|
||||
|
||||
trade_id = update.message.text.replace('/forcesell', '').strip()
|
||||
(error, message) = self.rpc_forcesell(trade_id)
|
||||
if error:
|
||||
self.send_msg(message, bot=bot)
|
||||
return
|
||||
try:
|
||||
self._rpc_forcesell(trade_id)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _performance(self, bot: Bot, update: Update) -> None:
|
||||
@ -338,11 +317,8 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
(error, trades) = self.rpc_performance()
|
||||
if error:
|
||||
self.send_msg(trades, bot=bot)
|
||||
return
|
||||
|
||||
try:
|
||||
trades = self._rpc_performance()
|
||||
stats = '\n'.join('{index}.\t<code>{pair}\t{profit:.2f}% ({count})</code>'.format(
|
||||
index=i + 1,
|
||||
pair=trade['pair'],
|
||||
@ -350,7 +326,9 @@ class Telegram(RPC):
|
||||
count=trade['count']
|
||||
) for i, trade in enumerate(trades))
|
||||
message = '<b>Performance:</b>\n{}'.format(stats)
|
||||
self.send_msg(message, parse_mode=ParseMode.HTML)
|
||||
self._send_msg(message, parse_mode=ParseMode.HTML)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _count(self, bot: Bot, update: Update) -> None:
|
||||
@ -361,11 +339,8 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
(error, trades) = self.rpc_count()
|
||||
if error:
|
||||
self.send_msg(trades, bot=bot)
|
||||
return
|
||||
|
||||
try:
|
||||
trades = self._rpc_count()
|
||||
message = tabulate({
|
||||
'current': [len(trades)],
|
||||
'max': [self._config['max_open_trades']],
|
||||
@ -373,7 +348,9 @@ class Telegram(RPC):
|
||||
}, headers=['current', 'max', 'total stake'], tablefmt='simple')
|
||||
message = "<pre>{}</pre>".format(message)
|
||||
logger.debug(message)
|
||||
self.send_msg(message, parse_mode=ParseMode.HTML)
|
||||
self._send_msg(message, parse_mode=ParseMode.HTML)
|
||||
except RPCException as e:
|
||||
self._send_msg(str(e), bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _help(self, bot: Bot, update: Update) -> None:
|
||||
@ -399,7 +376,7 @@ class Telegram(RPC):
|
||||
"*/help:* `This help message`\n" \
|
||||
"*/version:* `Show version`"
|
||||
|
||||
self.send_msg(message, bot=bot)
|
||||
self._send_msg(message, bot=bot)
|
||||
|
||||
@authorized_only
|
||||
def _version(self, bot: Bot, update: Update) -> None:
|
||||
@ -410,9 +387,9 @@ class Telegram(RPC):
|
||||
:param update: message update
|
||||
:return: None
|
||||
"""
|
||||
self.send_msg('*Version:* `{}`'.format(__version__), bot=bot)
|
||||
self._send_msg('*Version:* `{}`'.format(__version__), bot=bot)
|
||||
|
||||
def send_msg(self, msg: str, bot: Bot = None,
|
||||
def _send_msg(self, msg: str, bot: Bot = None,
|
||||
parse_mode: ParseMode = ParseMode.MARKDOWN) -> None:
|
||||
"""
|
||||
Send given markdown message
|
||||
@ -421,9 +398,6 @@ class Telegram(RPC):
|
||||
:param parse_mode: telegram parse mode
|
||||
:return: None
|
||||
"""
|
||||
if not self.is_enabled():
|
||||
return
|
||||
|
||||
bot = bot or self._updater.bot
|
||||
|
||||
keyboard = [['/daily', '/profit', '/balance'],
|
||||
|
@ -376,10 +376,10 @@ def test_generate_text_table(default_conf, mocker):
|
||||
|
||||
results = pd.DataFrame(
|
||||
{
|
||||
'currency': ['ETH/BTC', 'ETH/BTC'],
|
||||
'pair': ['ETH/BTC', 'ETH/BTC'],
|
||||
'profit_percent': [0.1, 0.2],
|
||||
'profit_BTC': [0.2, 0.4],
|
||||
'duration': [10, 30],
|
||||
'profit_abs': [0.2, 0.4],
|
||||
'trade_duration': [10, 30],
|
||||
'profit': [2, 0],
|
||||
'loss': [0, 0]
|
||||
}
|
||||
@ -439,6 +439,40 @@ def test_backtesting_start(default_conf, mocker, caplog) -> None:
|
||||
assert log_has(line, caplog.record_tuples)
|
||||
|
||||
|
||||
def test_backtesting_start_no_data(default_conf, mocker, caplog) -> None:
|
||||
"""
|
||||
Test Backtesting.start() method if no data is found
|
||||
"""
|
||||
|
||||
def get_timeframe(input1, input2):
|
||||
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
|
||||
|
||||
mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock())
|
||||
mocker.patch('freqtrade.optimize.load_data', MagicMock(return_value={}))
|
||||
mocker.patch('freqtrade.exchange.get_ticker_history')
|
||||
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.optimize.backtesting.Backtesting',
|
||||
backtest=MagicMock(),
|
||||
_generate_text_table=MagicMock(return_value='1'),
|
||||
get_timeframe=get_timeframe,
|
||||
)
|
||||
|
||||
conf = deepcopy(default_conf)
|
||||
conf['exchange']['pair_whitelist'] = ['UNITTEST/BTC']
|
||||
conf['ticker_interval'] = "1m"
|
||||
conf['live'] = False
|
||||
conf['datadir'] = None
|
||||
conf['export'] = None
|
||||
conf['timerange'] = '20180101-20180102'
|
||||
|
||||
backtesting = Backtesting(conf)
|
||||
backtesting.start()
|
||||
# check the logs, that will contain the backtest result
|
||||
|
||||
assert log_has('No data found. Terminating.', caplog.record_tuples)
|
||||
|
||||
|
||||
def test_backtest(default_conf, fee, mocker) -> None:
|
||||
"""
|
||||
Test Backtesting.backtest() method
|
||||
@ -458,6 +492,7 @@ def test_backtest(default_conf, fee, mocker) -> None:
|
||||
}
|
||||
)
|
||||
assert not results.empty
|
||||
assert len(results) == 2
|
||||
|
||||
|
||||
def test_backtest_1min_ticker_interval(default_conf, fee, mocker) -> None:
|
||||
@ -480,6 +515,7 @@ def test_backtest_1min_ticker_interval(default_conf, fee, mocker) -> None:
|
||||
}
|
||||
)
|
||||
assert not results.empty
|
||||
assert len(results) == 1
|
||||
|
||||
|
||||
def test_processed(default_conf, mocker) -> None:
|
||||
@ -501,7 +537,7 @@ def test_processed(default_conf, mocker) -> None:
|
||||
|
||||
def test_backtest_pricecontours(default_conf, fee, mocker) -> None:
|
||||
mocker.patch('freqtrade.optimize.backtesting.exchange.get_fee', fee)
|
||||
tests = [['raise', 17], ['lower', 0], ['sine', 16]]
|
||||
tests = [['raise', 18], ['lower', 0], ['sine', 16]]
|
||||
for [contour, numres] in tests:
|
||||
simple_backtest(default_conf, contour, numres, mocker)
|
||||
|
||||
@ -561,7 +597,10 @@ def test_backtest_alternate_buy_sell(default_conf, fee, mocker):
|
||||
backtesting.populate_buy_trend = _trend_alternate # Override
|
||||
backtesting.populate_sell_trend = _trend_alternate # Override
|
||||
results = backtesting.backtest(backtest_conf)
|
||||
assert len(results) == 3
|
||||
backtesting._store_backtest_result("test_.json", results)
|
||||
assert len(results) == 4
|
||||
# One trade was force-closed at the end
|
||||
assert len(results.loc[results.open_at_end]) == 1
|
||||
|
||||
|
||||
def test_backtest_record(default_conf, fee, mocker):
|
||||
@ -573,22 +612,30 @@ def test_backtest_record(default_conf, fee, mocker):
|
||||
'freqtrade.optimize.backtesting.file_dump_json',
|
||||
new=lambda n, r: (names.append(n), records.append(r))
|
||||
)
|
||||
backtest_conf = _make_backtest_conf(
|
||||
mocker,
|
||||
conf=default_conf,
|
||||
pair='UNITTEST/BTC',
|
||||
record="trades"
|
||||
)
|
||||
|
||||
backtesting = Backtesting(default_conf)
|
||||
backtesting.populate_buy_trend = _trend_alternate # Override
|
||||
backtesting.populate_sell_trend = _trend_alternate # Override
|
||||
results = backtesting.backtest(backtest_conf)
|
||||
assert len(results) == 3
|
||||
results = pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
|
||||
"UNITTEST/BTC", "UNITTEST/BTC"],
|
||||
"profit_percent": [0.003312, 0.010801, 0.013803, 0.002780],
|
||||
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
|
||||
"open_time": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
|
||||
Arrow(2017, 11, 14, 21, 36, 00).datetime,
|
||||
Arrow(2017, 11, 14, 22, 12, 00).datetime,
|
||||
Arrow(2017, 11, 14, 22, 44, 00).datetime],
|
||||
"close_time": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
|
||||
Arrow(2017, 11, 14, 22, 10, 00).datetime,
|
||||
Arrow(2017, 11, 14, 22, 43, 00).datetime,
|
||||
Arrow(2017, 11, 14, 22, 58, 00).datetime],
|
||||
"open_index": [1, 119, 153, 185],
|
||||
"close_index": [118, 151, 184, 199],
|
||||
"trade_duration": [123, 34, 31, 14]})
|
||||
backtesting._store_backtest_result("backtest-result.json", results)
|
||||
assert len(results) == 4
|
||||
# Assert file_dump_json was only called once
|
||||
assert names == ['backtest-result.json']
|
||||
records = records[0]
|
||||
# Ensure records are of correct type
|
||||
assert len(records) == 3
|
||||
assert len(records) == 4
|
||||
# ('UNITTEST/BTC', 0.00331158, '1510684320', '1510691700', 0, 117)
|
||||
# Below follows just a typecheck of the schema/type of trade-records
|
||||
oix = None
|
||||
|
@ -23,8 +23,6 @@ def init_hyperopt(default_conf, mocker):
|
||||
global _HYPEROPT_INITIALIZED, _HYPEROPT
|
||||
if not _HYPEROPT_INITIALIZED:
|
||||
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf',
|
||||
MagicMock(return_value=default_conf))
|
||||
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock())
|
||||
_HYPEROPT = Hyperopt(default_conf)
|
||||
_HYPEROPT_INITIALIZED = True
|
||||
@ -64,8 +62,6 @@ def test_start(mocker, default_conf, caplog) -> None:
|
||||
"""
|
||||
start_mock = MagicMock()
|
||||
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf',
|
||||
MagicMock(return_value=default_conf))
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
|
||||
args = [
|
||||
@ -182,7 +178,6 @@ def test_fmin_best_results(mocker, init_hyperopt, default_conf, caplog) -> None:
|
||||
|
||||
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
|
||||
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
|
||||
StrategyResolver({'strategy': 'DefaultStrategy'})
|
||||
@ -227,7 +222,6 @@ def test_fmin_throw_value_error(mocker, init_hyperopt, default_conf, caplog) ->
|
||||
conf.update({'epochs': 1})
|
||||
conf.update({'timerange': None})
|
||||
conf.update({'spaces': 'all'})
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
|
||||
StrategyResolver({'strategy': 'DefaultStrategy'})
|
||||
@ -253,7 +247,6 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker, init_hyperopt, defa
|
||||
conf = deepcopy(default_conf)
|
||||
conf.update({'config': 'config.json.example'})
|
||||
conf.update({'epochs': 1})
|
||||
conf.update({'mongodb': False})
|
||||
conf.update({'timerange': None})
|
||||
conf.update({'spaces': 'all'})
|
||||
|
||||
@ -270,7 +263,6 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker, init_hyperopt, defa
|
||||
mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
|
||||
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
|
||||
mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
|
||||
mocker.patch('freqtrade.exchange.validate_pairs', MagicMock())
|
||||
|
||||
StrategyResolver({'strategy': 'DefaultStrategy'})
|
||||
@ -348,7 +340,6 @@ def test_start_calls_fmin(mocker, init_hyperopt, default_conf) -> None:
|
||||
conf = deepcopy(default_conf)
|
||||
conf.update({'config': 'config.json.example'})
|
||||
conf.update({'epochs': 1})
|
||||
conf.update({'mongodb': False})
|
||||
conf.update({'timerange': None})
|
||||
conf.update({'spaces': 'all'})
|
||||
|
||||
@ -360,35 +351,6 @@ def test_start_calls_fmin(mocker, init_hyperopt, default_conf) -> None:
|
||||
mock_fmin.assert_called_once()
|
||||
|
||||
|
||||
def test_start_uses_mongotrials(mocker, init_hyperopt, default_conf) -> None:
|
||||
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
|
||||
mock_fmin = mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
|
||||
mock_mongotrials = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.MongoTrials',
|
||||
return_value=create_trials(mocker)
|
||||
)
|
||||
|
||||
conf = deepcopy(default_conf)
|
||||
conf.update({'config': 'config.json.example'})
|
||||
conf.update({'epochs': 1})
|
||||
conf.update({'mongodb': True})
|
||||
conf.update({'timerange': None})
|
||||
conf.update({'spaces': 'all'})
|
||||
mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
|
||||
hyperopt = Hyperopt(conf)
|
||||
hyperopt.tickerdata_to_dataframe = MagicMock()
|
||||
|
||||
hyperopt.start()
|
||||
mock_mongotrials.assert_called_once()
|
||||
mock_fmin.assert_called_once()
|
||||
|
||||
|
||||
# test log_trials_result
|
||||
# test buy_strategy_generator def populate_buy_trend
|
||||
# test optimizer if 'ro_t1' in params
|
||||
|
||||
def test_format_results(init_hyperopt):
|
||||
"""
|
||||
Test Hyperopt.format_results()
|
||||
@ -400,7 +362,7 @@ def test_format_results(init_hyperopt):
|
||||
('LTC/BTC', 1, 1, 123),
|
||||
('XPR/BTC', -1, -2, -246)
|
||||
]
|
||||
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
|
||||
labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
|
||||
df = pd.DataFrame.from_records(trades, columns=labels)
|
||||
|
||||
result = _HYPEROPT.format_results(df)
|
||||
@ -530,7 +492,7 @@ def test_generate_optimizer(mocker, init_hyperopt, default_conf) -> None:
|
||||
trades = [
|
||||
('POWR/BTC', 0.023117, 0.000233, 100)
|
||||
]
|
||||
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
|
||||
labels = ['currency', 'profit_percent', 'profit_abs', 'trade_duration']
|
||||
backtest_result = pd.DataFrame.from_records(trades, columns=labels)
|
||||
|
||||
mocker.patch(
|
||||
|
@ -1,16 +0,0 @@
|
||||
# pragma pylint: disable=missing-docstring,W0212
|
||||
|
||||
from user_data.hyperopt_conf import hyperopt_optimize_conf
|
||||
|
||||
|
||||
def test_hyperopt_optimize_conf():
|
||||
hyperopt_conf = hyperopt_optimize_conf()
|
||||
|
||||
assert "max_open_trades" in hyperopt_conf
|
||||
assert "stake_currency" in hyperopt_conf
|
||||
assert "stake_amount" in hyperopt_conf
|
||||
assert "minimal_roi" in hyperopt_conf
|
||||
assert "stoploss" in hyperopt_conf
|
||||
assert "bid_strategy" in hyperopt_conf
|
||||
assert "exchange" in hyperopt_conf
|
||||
assert "pair_whitelist" in hyperopt_conf['exchange']
|
@ -326,8 +326,6 @@ def test_load_tickerdata_file() -> None:
|
||||
|
||||
|
||||
def test_init(default_conf, mocker) -> None:
|
||||
conf = {'exchange': {'pair_whitelist': []}}
|
||||
mocker.patch('freqtrade.optimize.hyperopt_optimize_conf', return_value=conf)
|
||||
assert {} == optimize.load_data(
|
||||
'',
|
||||
pairs=[],
|
||||
|
@ -7,9 +7,11 @@ Unit test file for rpc/rpc.py
|
||||
from datetime import datetime
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
from freqtrade.freqtradebot import FreqtradeBot
|
||||
from freqtrade.persistence import Trade
|
||||
from freqtrade.rpc.rpc import RPC
|
||||
from freqtrade.rpc.rpc import RPC, RPCException
|
||||
from freqtrade.state import State
|
||||
from freqtrade.tests.test_freqtradebot import patch_get_signal, patch_coinmarketcap
|
||||
|
||||
@ -29,7 +31,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, markets, mocker) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -42,19 +44,16 @@ def test_rpc_trade_status(default_conf, ticker, fee, markets, mocker) -> None:
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
freqtradebot.state = State.STOPPED
|
||||
(error, result) = rpc.rpc_trade_status()
|
||||
assert error
|
||||
assert 'trader is not running' in result
|
||||
with pytest.raises(RPCException, match=r'.*trader is not running*'):
|
||||
rpc._rpc_trade_status()
|
||||
|
||||
freqtradebot.state = State.RUNNING
|
||||
(error, result) = rpc.rpc_trade_status()
|
||||
assert error
|
||||
assert 'no active trade' in result
|
||||
with pytest.raises(RPCException, match=r'.*no active trade*'):
|
||||
rpc._rpc_trade_status()
|
||||
|
||||
freqtradebot.create_trade()
|
||||
(error, result) = rpc.rpc_trade_status()
|
||||
assert not error
|
||||
trade = result[0]
|
||||
trades = rpc._rpc_trade_status()
|
||||
trade = trades[0]
|
||||
|
||||
result_message = [
|
||||
'*Trade ID:* `1`\n'
|
||||
@ -69,7 +68,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, markets, mocker) -> None:
|
||||
'*Current Profit:* `-0.59%`\n'
|
||||
'*Open Order:* `(limit buy rem=0.00000000)`'
|
||||
]
|
||||
assert result == result_message
|
||||
assert trades == result_message
|
||||
assert trade.find('[ETH/BTC]') >= 0
|
||||
|
||||
|
||||
@ -79,7 +78,7 @@ def test_rpc_status_table(default_conf, ticker, fee, markets, mocker) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -92,17 +91,15 @@ def test_rpc_status_table(default_conf, ticker, fee, markets, mocker) -> None:
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
freqtradebot.state = State.STOPPED
|
||||
(error, result) = rpc.rpc_status_table()
|
||||
assert error
|
||||
assert '*Status:* `trader is not running`' in result
|
||||
with pytest.raises(RPCException, match=r'.*\*Status:\* `trader is not running``*'):
|
||||
rpc._rpc_status_table()
|
||||
|
||||
freqtradebot.state = State.RUNNING
|
||||
(error, result) = rpc.rpc_status_table()
|
||||
assert error
|
||||
assert '*Status:* `no active order`' in result
|
||||
with pytest.raises(RPCException, match=r'.*\*Status:\* `no active order`*'):
|
||||
rpc._rpc_status_table()
|
||||
|
||||
freqtradebot.create_trade()
|
||||
(error, result) = rpc.rpc_status_table()
|
||||
result = rpc._rpc_status_table()
|
||||
assert 'just now' in result['Since'].all()
|
||||
assert 'ETH/BTC' in result['Pair'].all()
|
||||
assert '-0.59%' in result['Profit'].all()
|
||||
@ -115,7 +112,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -143,8 +140,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
|
||||
|
||||
# Try valid data
|
||||
update.message.text = '/daily 2'
|
||||
(error, days) = rpc.rpc_daily_profit(7, stake_currency, fiat_display_currency)
|
||||
assert not error
|
||||
days = rpc._rpc_daily_profit(7, stake_currency, fiat_display_currency)
|
||||
assert len(days) == 7
|
||||
for day in days:
|
||||
# [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
|
||||
@ -157,9 +153,8 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
|
||||
assert str(days[0][0]) == str(datetime.utcnow().date())
|
||||
|
||||
# Try invalid data
|
||||
(error, days) = rpc.rpc_daily_profit(0, stake_currency, fiat_display_currency)
|
||||
assert error
|
||||
assert days.find('must be an integer greater than 0') >= 0
|
||||
with pytest.raises(RPCException, match=r'.*must be an integer greater than 0*'):
|
||||
rpc._rpc_daily_profit(0, stake_currency, fiat_display_currency)
|
||||
|
||||
|
||||
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
@ -173,7 +168,7 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
)
|
||||
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -188,9 +183,8 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert error
|
||||
assert stats.find('no closed trade') >= 0
|
||||
with pytest.raises(RPCException, match=r'.*no closed trade*'):
|
||||
rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
|
||||
# Create some test data
|
||||
freqtradebot.create_trade()
|
||||
@ -223,8 +217,7 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
trade.close_date = datetime.utcnow()
|
||||
trade.is_open = False
|
||||
|
||||
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert not error
|
||||
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
|
||||
assert prec_satoshi(stats['profit_closed_percent'], 6.2)
|
||||
assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
|
||||
@ -252,7 +245,7 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee, markets,
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
)
|
||||
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -286,8 +279,7 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee, markets,
|
||||
for trade in Trade.query.order_by(Trade.id).all():
|
||||
trade.open_rate = None
|
||||
|
||||
(error, stats) = rpc.rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert not error
|
||||
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert prec_satoshi(stats['profit_closed_coin'], 0)
|
||||
assert prec_satoshi(stats['profit_closed_percent'], 0)
|
||||
assert prec_satoshi(stats['profit_closed_fiat'], 0)
|
||||
@ -325,7 +317,7 @@ def test_rpc_balance_handle(default_conf, mocker):
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
)
|
||||
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -335,18 +327,16 @@ def test_rpc_balance_handle(default_conf, mocker):
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
(error, res) = rpc.rpc_balance(default_conf['fiat_display_currency'])
|
||||
assert not error
|
||||
(trade, x, y, z) = res
|
||||
assert prec_satoshi(x, 12)
|
||||
assert prec_satoshi(z, 180000)
|
||||
assert 'USD' in y
|
||||
assert len(trade) == 1
|
||||
assert 'BTC' in trade[0]['currency']
|
||||
assert prec_satoshi(trade[0]['available'], 10)
|
||||
assert prec_satoshi(trade[0]['balance'], 12)
|
||||
assert prec_satoshi(trade[0]['pending'], 2)
|
||||
assert prec_satoshi(trade[0]['est_btc'], 12)
|
||||
output, total, symbol, value = rpc._rpc_balance(default_conf['fiat_display_currency'])
|
||||
assert prec_satoshi(total, 12)
|
||||
assert prec_satoshi(value, 180000)
|
||||
assert 'USD' in symbol
|
||||
assert len(output) == 1
|
||||
assert 'BTC' in output[0]['currency']
|
||||
assert prec_satoshi(output[0]['available'], 10)
|
||||
assert prec_satoshi(output[0]['balance'], 12)
|
||||
assert prec_satoshi(output[0]['pending'], 2)
|
||||
assert prec_satoshi(output[0]['est_btc'], 12)
|
||||
|
||||
|
||||
def test_rpc_start(mocker, default_conf) -> None:
|
||||
@ -355,7 +345,7 @@ def test_rpc_start(mocker, default_conf) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -366,13 +356,11 @@ def test_rpc_start(mocker, default_conf) -> None:
|
||||
rpc = RPC(freqtradebot)
|
||||
freqtradebot.state = State.STOPPED
|
||||
|
||||
(error, result) = rpc.rpc_start()
|
||||
assert not error
|
||||
result = rpc._rpc_start()
|
||||
assert '`Starting trader ...`' in result
|
||||
assert freqtradebot.state == State.RUNNING
|
||||
|
||||
(error, result) = rpc.rpc_start()
|
||||
assert error
|
||||
result = rpc._rpc_start()
|
||||
assert '*Status:* `already running`' in result
|
||||
assert freqtradebot.state == State.RUNNING
|
||||
|
||||
@ -383,7 +371,7 @@ def test_rpc_stop(mocker, default_conf) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -394,13 +382,11 @@ def test_rpc_stop(mocker, default_conf) -> None:
|
||||
rpc = RPC(freqtradebot)
|
||||
freqtradebot.state = State.RUNNING
|
||||
|
||||
(error, result) = rpc.rpc_stop()
|
||||
assert not error
|
||||
result = rpc._rpc_stop()
|
||||
assert '`Stopping trader ...`' in result
|
||||
assert freqtradebot.state == State.STOPPED
|
||||
|
||||
(error, result) = rpc.rpc_stop()
|
||||
assert error
|
||||
result = rpc._rpc_stop()
|
||||
assert '*Status:* `already stopped`' in result
|
||||
assert freqtradebot.state == State.STOPPED
|
||||
|
||||
@ -411,7 +397,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
|
||||
cancel_order_mock = MagicMock()
|
||||
mocker.patch.multiple(
|
||||
@ -434,36 +420,26 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
freqtradebot.state = State.STOPPED
|
||||
(error, res) = rpc.rpc_forcesell(None)
|
||||
assert error
|
||||
assert res == '`trader is not running`'
|
||||
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
|
||||
rpc._rpc_forcesell(None)
|
||||
|
||||
freqtradebot.state = State.RUNNING
|
||||
(error, res) = rpc.rpc_forcesell(None)
|
||||
assert error
|
||||
assert res == 'Invalid argument.'
|
||||
with pytest.raises(RPCException, match=r'.*Invalid argument.*'):
|
||||
rpc._rpc_forcesell(None)
|
||||
|
||||
(error, res) = rpc.rpc_forcesell('all')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('all')
|
||||
|
||||
freqtradebot.create_trade()
|
||||
(error, res) = rpc.rpc_forcesell('all')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('all')
|
||||
|
||||
(error, res) = rpc.rpc_forcesell('1')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('1')
|
||||
|
||||
freqtradebot.state = State.STOPPED
|
||||
(error, res) = rpc.rpc_forcesell(None)
|
||||
assert error
|
||||
assert res == '`trader is not running`'
|
||||
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
|
||||
rpc._rpc_forcesell(None)
|
||||
|
||||
(error, res) = rpc.rpc_forcesell('all')
|
||||
assert error
|
||||
assert res == '`trader is not running`'
|
||||
with pytest.raises(RPCException, match=r'.*`trader is not running`*'):
|
||||
rpc._rpc_forcesell('all')
|
||||
|
||||
freqtradebot.state = State.RUNNING
|
||||
assert cancel_order_mock.call_count == 0
|
||||
@ -481,9 +457,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
|
||||
)
|
||||
# check that the trade is called, which is done by ensuring exchange.cancel_order is called
|
||||
# and trade amount is updated
|
||||
(error, res) = rpc.rpc_forcesell('1')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('1')
|
||||
assert cancel_order_mock.call_count == 1
|
||||
assert trade.amount == filled_amount
|
||||
|
||||
@ -501,9 +475,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
|
||||
}
|
||||
)
|
||||
# check that the trade is called, which is done by ensuring exchange.cancel_order is called
|
||||
(error, res) = rpc.rpc_forcesell('2')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('2')
|
||||
assert cancel_order_mock.call_count == 2
|
||||
assert trade.amount == amount
|
||||
|
||||
@ -517,9 +489,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker, markets) -> None:
|
||||
'side': 'sell'
|
||||
}
|
||||
)
|
||||
(error, res) = rpc.rpc_forcesell('3')
|
||||
assert not error
|
||||
assert res == ''
|
||||
rpc._rpc_forcesell('3')
|
||||
# status quo, no exchange calls
|
||||
assert cancel_order_mock.call_count == 2
|
||||
|
||||
@ -531,7 +501,7 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -557,8 +527,7 @@ def test_performance_handle(default_conf, ticker, limit_buy_order, fee,
|
||||
|
||||
trade.close_date = datetime.utcnow()
|
||||
trade.is_open = False
|
||||
(error, res) = rpc.rpc_performance()
|
||||
assert not error
|
||||
res = rpc._rpc_performance()
|
||||
assert len(res) == 1
|
||||
assert res[0]['pair'] == 'ETH/BTC'
|
||||
assert res[0]['count'] == 1
|
||||
@ -571,7 +540,7 @@ def test_rpc_count(mocker, default_conf, ticker, fee, markets) -> None:
|
||||
"""
|
||||
patch_get_signal(mocker, (True, False))
|
||||
patch_coinmarketcap(mocker)
|
||||
mocker.patch('freqtrade.rpc.rpc_manager.Telegram', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
validate_pairs=MagicMock(),
|
||||
@ -584,14 +553,12 @@ def test_rpc_count(mocker, default_conf, ticker, fee, markets) -> None:
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
rpc = RPC(freqtradebot)
|
||||
|
||||
(error, trades) = rpc.rpc_count()
|
||||
trades = rpc._rpc_count()
|
||||
nb_trades = len(trades)
|
||||
assert not error
|
||||
assert nb_trades == 0
|
||||
|
||||
# Create some test data
|
||||
freqtradebot.create_trade()
|
||||
(error, trades) = rpc.rpc_count()
|
||||
trades = rpc._rpc_count()
|
||||
nb_trades = len(trades)
|
||||
assert not error
|
||||
assert nb_trades == 1
|
||||
|
@ -7,49 +7,35 @@ from copy import deepcopy
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
from freqtrade.rpc.rpc_manager import RPCManager
|
||||
from freqtrade.rpc.telegram import Telegram
|
||||
from freqtrade.tests.conftest import log_has, get_patched_freqtradebot
|
||||
|
||||
|
||||
def test_rpc_manager_object() -> None:
|
||||
"""
|
||||
Test the Arguments object has the mandatory methods
|
||||
:return: None
|
||||
"""
|
||||
assert hasattr(RPCManager, '_init')
|
||||
""" Test the Arguments object has the mandatory methods """
|
||||
assert hasattr(RPCManager, 'send_msg')
|
||||
assert hasattr(RPCManager, 'cleanup')
|
||||
|
||||
|
||||
def test__init__(mocker, default_conf) -> None:
|
||||
"""
|
||||
Test __init__() method
|
||||
"""
|
||||
init_mock = mocker.patch('freqtrade.rpc.rpc_manager.RPCManager._init', MagicMock())
|
||||
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
|
||||
""" Test __init__() method """
|
||||
conf = deepcopy(default_conf)
|
||||
conf['telegram']['enabled'] = False
|
||||
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
assert rpc_manager.freqtrade == freqtradebot
|
||||
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, conf))
|
||||
assert rpc_manager.registered_modules == []
|
||||
assert rpc_manager.telegram is None
|
||||
assert init_mock.call_count == 1
|
||||
|
||||
|
||||
def test_init_telegram_disabled(mocker, default_conf, caplog) -> None:
|
||||
"""
|
||||
Test _init() method with Telegram disabled
|
||||
"""
|
||||
""" Test _init() method with Telegram disabled """
|
||||
caplog.set_level(logging.DEBUG)
|
||||
|
||||
conf = deepcopy(default_conf)
|
||||
conf['telegram']['enabled'] = False
|
||||
|
||||
freqtradebot = get_patched_freqtradebot(mocker, conf)
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, conf))
|
||||
|
||||
assert not log_has('Enabling rpc.telegram ...', caplog.record_tuples)
|
||||
assert rpc_manager.registered_modules == []
|
||||
assert rpc_manager.telegram is None
|
||||
|
||||
|
||||
def test_init_telegram_enabled(mocker, default_conf, caplog) -> None:
|
||||
@ -59,14 +45,12 @@ def test_init_telegram_enabled(mocker, default_conf, caplog) -> None:
|
||||
caplog.set_level(logging.DEBUG)
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
|
||||
|
||||
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, default_conf))
|
||||
|
||||
assert log_has('Enabling rpc.telegram ...', caplog.record_tuples)
|
||||
len_modules = len(rpc_manager.registered_modules)
|
||||
assert len_modules == 1
|
||||
assert 'telegram' in rpc_manager.registered_modules
|
||||
assert isinstance(rpc_manager.telegram, Telegram)
|
||||
assert 'telegram' in [mod.name for mod in rpc_manager.registered_modules]
|
||||
|
||||
|
||||
def test_cleanup_telegram_disabled(mocker, default_conf, caplog) -> None:
|
||||
@ -99,11 +83,11 @@ def test_cleanup_telegram_enabled(mocker, default_conf, caplog) -> None:
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
|
||||
# Check we have Telegram as a registered modules
|
||||
assert 'telegram' in rpc_manager.registered_modules
|
||||
assert 'telegram' in [mod.name for mod in rpc_manager.registered_modules]
|
||||
|
||||
rpc_manager.cleanup()
|
||||
assert log_has('Cleaning up rpc.telegram ...', caplog.record_tuples)
|
||||
assert 'telegram' not in rpc_manager.registered_modules
|
||||
assert 'telegram' not in [mod.name for mod in rpc_manager.registered_modules]
|
||||
assert telegram_mock.call_count == 1
|
||||
|
||||
|
||||
@ -120,7 +104,7 @@ def test_send_msg_telegram_disabled(mocker, default_conf, caplog) -> None:
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
rpc_manager.send_msg('test')
|
||||
|
||||
assert log_has('test', caplog.record_tuples)
|
||||
assert log_has('Sending rpc message: test', caplog.record_tuples)
|
||||
assert telegram_mock.call_count == 0
|
||||
|
||||
|
||||
@ -135,5 +119,5 @@ def test_send_msg_telegram_enabled(mocker, default_conf, caplog) -> None:
|
||||
rpc_manager = RPCManager(freqtradebot)
|
||||
rpc_manager.send_msg('test')
|
||||
|
||||
assert log_has('test', caplog.record_tuples)
|
||||
assert log_has('Sending rpc message: test', caplog.record_tuples)
|
||||
assert telegram_mock.call_count == 1
|
||||
|
@ -32,6 +32,9 @@ class DummyCls(Telegram):
|
||||
super().__init__(freqtrade)
|
||||
self.state = {'called': False}
|
||||
|
||||
def _init(self):
|
||||
pass
|
||||
|
||||
@authorized_only
|
||||
def dummy_handler(self, *args, **kwargs) -> None:
|
||||
"""
|
||||
@ -60,9 +63,7 @@ def test__init__(default_conf, mocker) -> None:
|
||||
|
||||
|
||||
def test_init(default_conf, mocker, caplog) -> None:
|
||||
"""
|
||||
Test _init() method
|
||||
"""
|
||||
""" Test _init() method """
|
||||
start_polling = MagicMock()
|
||||
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock(return_value=start_polling))
|
||||
|
||||
@ -80,21 +81,6 @@ def test_init(default_conf, mocker, caplog) -> None:
|
||||
assert log_has(message_str, caplog.record_tuples)
|
||||
|
||||
|
||||
def test_init_disabled(default_conf, mocker, caplog) -> None:
|
||||
"""
|
||||
Test _init() method when Telegram is disabled
|
||||
"""
|
||||
conf = deepcopy(default_conf)
|
||||
conf['telegram']['enabled'] = False
|
||||
Telegram(get_patched_freqtradebot(mocker, conf))
|
||||
|
||||
message_str = "rpc.telegram is listening for following commands: [['status'], ['profit'], " \
|
||||
"['balance'], ['start'], ['stop'], ['forcesell'], ['performance'], ['daily'], " \
|
||||
"['count'], ['help'], ['version']]"
|
||||
|
||||
assert not log_has(message_str, caplog.record_tuples)
|
||||
|
||||
|
||||
def test_cleanup(default_conf, mocker) -> None:
|
||||
"""
|
||||
Test cleanup() method
|
||||
@ -103,44 +89,11 @@ def test_cleanup(default_conf, mocker) -> None:
|
||||
updater_mock.stop = MagicMock()
|
||||
mocker.patch('freqtrade.rpc.telegram.Updater', updater_mock)
|
||||
|
||||
# not enabled
|
||||
conf = deepcopy(default_conf)
|
||||
conf['telegram']['enabled'] = False
|
||||
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
|
||||
telegram.cleanup()
|
||||
assert telegram._updater is None
|
||||
assert updater_mock.call_count == 0
|
||||
assert not hasattr(telegram._updater, 'stop')
|
||||
assert updater_mock.stop.call_count == 0
|
||||
|
||||
# enabled
|
||||
conf['telegram']['enabled'] = True
|
||||
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
|
||||
telegram = Telegram(get_patched_freqtradebot(mocker, default_conf))
|
||||
telegram.cleanup()
|
||||
assert telegram._updater.stop.call_count == 1
|
||||
|
||||
|
||||
def test_is_enabled(default_conf, mocker) -> None:
|
||||
"""
|
||||
Test is_enabled() method
|
||||
"""
|
||||
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock())
|
||||
|
||||
telegram = Telegram(get_patched_freqtradebot(mocker, default_conf))
|
||||
assert telegram.is_enabled()
|
||||
|
||||
|
||||
def test_is_not_enabled(default_conf, mocker) -> None:
|
||||
"""
|
||||
Test is_enabled() method
|
||||
"""
|
||||
conf = deepcopy(default_conf)
|
||||
conf['telegram']['enabled'] = False
|
||||
telegram = Telegram(get_patched_freqtradebot(mocker, conf))
|
||||
|
||||
assert not telegram.is_enabled()
|
||||
|
||||
|
||||
def test_authorized_only(default_conf, mocker, caplog) -> None:
|
||||
"""
|
||||
Test authorized_only() method when we are authorized
|
||||
@ -257,9 +210,9 @@ def test_status(default_conf, update, mocker, fee, ticker, markets) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
rpc_trade_status=MagicMock(return_value=(False, [1, 2, 3])),
|
||||
_rpc_trade_status=MagicMock(return_value=[1, 2, 3]),
|
||||
_status_table=status_table,
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -298,7 +251,7 @@ def test_status_handle(default_conf, update, ticker, fee, markets, mocker) -> No
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
_status_table=status_table,
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -344,7 +297,7 @@ def test_status_table_handle(default_conf, update, ticker, fee, markets, mocker)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -401,7 +354,7 @@ def test_daily_handle(default_conf, update, ticker, limit_buy_order, fee,
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -469,7 +422,7 @@ def test_daily_wrong_input(default_conf, update, ticker, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -511,7 +464,7 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -609,7 +562,7 @@ def test_telegram_balance_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
@ -639,7 +592,7 @@ def test_zero_balance_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
@ -661,7 +614,7 @@ def test_start_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -672,7 +625,7 @@ def test_start_handle(default_conf, update, mocker) -> None:
|
||||
assert freqtradebot.state == State.STOPPED
|
||||
telegram._start(bot=MagicMock(), update=update)
|
||||
assert freqtradebot.state == State.RUNNING
|
||||
assert msg_mock.call_count == 0
|
||||
assert msg_mock.call_count == 1
|
||||
|
||||
|
||||
def test_start_handle_already_running(default_conf, update, mocker) -> None:
|
||||
@ -685,7 +638,7 @@ def test_start_handle_already_running(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -710,7 +663,7 @@ def test_stop_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -735,7 +688,7 @@ def test_stop_handle_already_stopped(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -758,7 +711,7 @@ def test_reload_conf_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
|
||||
|
||||
@ -908,7 +861,7 @@ def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
|
||||
@ -950,7 +903,7 @@ def test_performance_handle(default_conf, update, ticker, fee,
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
@ -992,7 +945,7 @@ def test_performance_handle_invalid(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
@ -1015,7 +968,7 @@ def test_count_handle(default_conf, update, ticker, fee, markets, mocker) -> Non
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.freqtradebot.exchange',
|
||||
@ -1059,7 +1012,7 @@ def test_help_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
telegram = Telegram(freqtradebot)
|
||||
@ -1079,7 +1032,7 @@ def test_version_handle(default_conf, update, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.telegram.Telegram',
|
||||
_init=MagicMock(),
|
||||
send_msg=msg_mock
|
||||
_send_msg=msg_mock
|
||||
)
|
||||
freqtradebot = FreqtradeBot(default_conf)
|
||||
telegram = Telegram(freqtradebot)
|
||||
@ -1101,13 +1054,8 @@ def test_send_msg(default_conf, mocker) -> None:
|
||||
freqtradebot = FreqtradeBot(conf)
|
||||
telegram = Telegram(freqtradebot)
|
||||
|
||||
telegram._config['telegram']['enabled'] = False
|
||||
telegram.send_msg('test', bot)
|
||||
assert not bot.method_calls
|
||||
bot.reset_mock()
|
||||
|
||||
telegram._config['telegram']['enabled'] = True
|
||||
telegram.send_msg('test', bot)
|
||||
telegram._send_msg('test', bot)
|
||||
assert len(bot.method_calls) == 1
|
||||
|
||||
|
||||
@ -1125,7 +1073,7 @@ def test_send_msg_network_error(default_conf, mocker, caplog) -> None:
|
||||
telegram = Telegram(freqtradebot)
|
||||
|
||||
telegram._config['telegram']['enabled'] = True
|
||||
telegram.send_msg('test', bot)
|
||||
telegram._send_msg('test', bot)
|
||||
|
||||
# Bot should've tried to send it twice
|
||||
assert len(bot.method_calls) == 2
|
||||
|
@ -322,7 +322,6 @@ def test_hyperopt_with_arguments(mocker, default_conf, caplog) -> None:
|
||||
arglist = [
|
||||
'hyperopt',
|
||||
'--epochs', '10',
|
||||
'--use-mongodb',
|
||||
'--spaces', 'all',
|
||||
]
|
||||
|
||||
@ -336,10 +335,6 @@ def test_hyperopt_with_arguments(mocker, default_conf, caplog) -> None:
|
||||
assert log_has('Parameter --epochs detected ...', caplog.record_tuples)
|
||||
assert log_has('Will run Hyperopt with for 10 epochs ...', caplog.record_tuples)
|
||||
|
||||
assert 'mongodb' in config
|
||||
assert config['mongodb'] is True
|
||||
assert log_has('Parameter --use-mongodb detected ...', caplog.record_tuples)
|
||||
|
||||
assert 'spaces' in config
|
||||
assert config['spaces'] == ['all']
|
||||
assert log_has('Parameter -s/--spaces detected: [\'all\']', caplog.record_tuples)
|
||||
|
@ -57,7 +57,7 @@ def patch_RPCManager(mocker) -> MagicMock:
|
||||
:param mocker: mocker to patch RPCManager class
|
||||
:return: RPCManager.send_msg MagicMock to track if this method is called
|
||||
"""
|
||||
mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
rpc_mock = mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
|
||||
return rpc_mock
|
||||
|
||||
|
25
freqtrade/vendor/qtpylib/indicators.py
vendored
25
freqtrade/vendor/qtpylib/indicators.py
vendored
@ -110,10 +110,13 @@ def heikinashi(bars):
|
||||
bars = bars.copy()
|
||||
bars['ha_close'] = (bars['open'] + bars['high'] +
|
||||
bars['low'] + bars['close']) / 4
|
||||
|
||||
bars['ha_open'] = (bars['open'].shift(1) + bars['close'].shift(1)) / 2
|
||||
bars.loc[:1, 'ha_open'] = bars['open'].values[0]
|
||||
for x in range(2):
|
||||
bars.loc[1:, 'ha_open'] = (
|
||||
(bars['ha_open'].shift(1) + bars['ha_close'].shift(1)) / 2)[1:]
|
||||
|
||||
bars['ha_high'] = bars.loc[:, ['high', 'ha_open', 'ha_close']].max(axis=1)
|
||||
bars['ha_low'] = bars.loc[:, ['low', 'ha_open', 'ha_close']].min(axis=1)
|
||||
|
||||
@ -248,58 +251,46 @@ def crossed_below(series1, series2):
|
||||
|
||||
def rolling_std(series, window=200, min_periods=None):
|
||||
min_periods = window if min_periods is None else min_periods
|
||||
try:
|
||||
if min_periods == window:
|
||||
if min_periods == window and len(series) > window:
|
||||
return numpy_rolling_std(series, window, True)
|
||||
else:
|
||||
try:
|
||||
return series.rolling(window=window, min_periods=min_periods).std()
|
||||
except BaseException:
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).std()
|
||||
except BaseException:
|
||||
return pd.rolling_std(series, window=window, min_periods=min_periods)
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
|
||||
|
||||
def rolling_mean(series, window=200, min_periods=None):
|
||||
min_periods = window if min_periods is None else min_periods
|
||||
try:
|
||||
if min_periods == window:
|
||||
if min_periods == window and len(series) > window:
|
||||
return numpy_rolling_mean(series, window, True)
|
||||
else:
|
||||
try:
|
||||
return series.rolling(window=window, min_periods=min_periods).mean()
|
||||
except BaseException:
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).mean()
|
||||
except BaseException:
|
||||
return pd.rolling_mean(series, window=window, min_periods=min_periods)
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
|
||||
|
||||
def rolling_min(series, window=14, min_periods=None):
|
||||
min_periods = window if min_periods is None else min_periods
|
||||
try:
|
||||
try:
|
||||
return series.rolling(window=window, min_periods=min_periods).min()
|
||||
except BaseException:
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).min()
|
||||
except BaseException:
|
||||
return pd.rolling_min(series, window=window, min_periods=min_periods)
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
|
||||
def rolling_max(series, window=14, min_periods=None):
|
||||
min_periods = window if min_periods is None else min_periods
|
||||
try:
|
||||
try:
|
||||
return series.rolling(window=window, min_periods=min_periods).min()
|
||||
except BaseException:
|
||||
return pd.Series(series).rolling(window=window, min_periods=min_periods).min()
|
||||
except BaseException:
|
||||
return pd.rolling_min(series, window=window, min_periods=min_periods)
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
@ -566,9 +557,9 @@ def stoch(df, window=14, d=3, k=3, fast=False):
|
||||
|
||||
return pd.DataFrame(index=df.index, data=data)
|
||||
|
||||
|
||||
# ---------------------------------------------
|
||||
|
||||
|
||||
def zscore(bars, window=20, stds=1, col='close'):
|
||||
""" get zscore of price """
|
||||
std = numpy_rolling_std(bars[col], window)
|
||||
|
@ -1,16 +1,16 @@
|
||||
ccxt==1.14.172
|
||||
ccxt==1.14.201
|
||||
SQLAlchemy==1.2.8
|
||||
python-telegram-bot==10.1.0
|
||||
arrow==0.12.1
|
||||
cachetools==2.1.0
|
||||
requests==2.18.4
|
||||
requests==2.19.1
|
||||
urllib3==1.22
|
||||
wrapt==1.10.11
|
||||
pandas==0.23.0
|
||||
pandas==0.23.1
|
||||
scikit-learn==0.19.1
|
||||
scipy==1.1.0
|
||||
jsonschema==2.6.0
|
||||
numpy==1.14.4
|
||||
numpy==1.14.5
|
||||
TA-Lib==0.4.17
|
||||
pytest==3.6.1
|
||||
pytest-mock==1.10.0
|
||||
|
@ -30,6 +30,8 @@ if not os.path.isfile(pairs_file):
|
||||
with open(pairs_file) as file:
|
||||
PAIRS = list(set(json.load(file)))
|
||||
|
||||
PAIRS.sort()
|
||||
|
||||
since_time = None
|
||||
if args.days:
|
||||
since_time = arrow.utcnow().shift(days=-args.days).timestamp * 1000
|
||||
@ -41,9 +43,15 @@ print(f'About to download pairs: {PAIRS} to {dl_path}')
|
||||
exchange._API = exchange.init_ccxt({'key': '',
|
||||
'secret': '',
|
||||
'name': args.exchange})
|
||||
|
||||
pairs_not_available = []
|
||||
# Make sure API markets is initialized
|
||||
exchange._API.load_markets()
|
||||
|
||||
for pair in PAIRS:
|
||||
if pair not in exchange._API.markets:
|
||||
pairs_not_available.append(pair)
|
||||
print(f"skipping pair {pair}")
|
||||
continue
|
||||
for tick_interval in timeframes:
|
||||
print(f'downloading pair {pair}, interval {tick_interval}')
|
||||
|
||||
@ -60,3 +68,7 @@ for pair in PAIRS:
|
||||
pair_print = pair.replace('/', '_')
|
||||
filename = f'{pair_print}-{tick_interval}.json'
|
||||
misc.file_dump_json(os.path.join(dl_path, filename), data)
|
||||
|
||||
|
||||
if pairs_not_available:
|
||||
print(f"Pairs [{','.join(pairs_not_available)}] not availble.")
|
||||
|
@ -91,7 +91,7 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
|
||||
tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
|
||||
else:
|
||||
tickers = optimize.load_data(
|
||||
datadir=args.datadir,
|
||||
datadir=_CONF.get("datadir"),
|
||||
pairs=[pair],
|
||||
ticker_interval=tick_interval,
|
||||
refresh_pairs=_CONF.get('refresh_pairs', False),
|
||||
|
@ -121,7 +121,7 @@ def plot_profit(args: Namespace) -> None:
|
||||
logger.info('Filter, keep pairs %s' % pairs)
|
||||
|
||||
tickers = optimize.load_data(
|
||||
datadir=args.datadir,
|
||||
datadir=config.get('datadir'),
|
||||
pairs=pairs,
|
||||
ticker_interval=tick_interval,
|
||||
refresh_pairs=False,
|
||||
|
@ -1,27 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
import multiprocessing
|
||||
import os
|
||||
import subprocess
|
||||
|
||||
PROC_COUNT = multiprocessing.cpu_count() - 1
|
||||
DB_NAME = 'freqtrade_hyperopt'
|
||||
WORK_DIR = os.path.join(
|
||||
os.path.sep,
|
||||
os.path.abspath(os.path.dirname(__file__)),
|
||||
'..', '.hyperopt', 'worker'
|
||||
)
|
||||
if not os.path.exists(WORK_DIR):
|
||||
os.makedirs(WORK_DIR)
|
||||
|
||||
# Spawn workers
|
||||
command = [
|
||||
'hyperopt-mongo-worker',
|
||||
'--mongo=127.0.0.1:1234/{}'.format(DB_NAME),
|
||||
'--poll-interval=0.1',
|
||||
'--workdir={}'.format(WORK_DIR),
|
||||
]
|
||||
processes = [subprocess.Popen(command) for i in range(PROC_COUNT)]
|
||||
|
||||
# Join all workers
|
||||
for proc in processes:
|
||||
proc.wait()
|
@ -1,21 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import os
|
||||
import subprocess
|
||||
|
||||
|
||||
DB_PATH = os.path.join(
|
||||
os.path.sep,
|
||||
os.path.abspath(os.path.dirname(__file__)),
|
||||
'..', '.hyperopt', 'mongodb'
|
||||
)
|
||||
if not os.path.exists(DB_PATH):
|
||||
os.makedirs(DB_PATH)
|
||||
|
||||
subprocess.Popen([
|
||||
'mongod',
|
||||
'--bind_ip=127.0.0.1',
|
||||
'--port=1234',
|
||||
'--nohttpinterface',
|
||||
'--dbpath={}'.format(DB_PATH),
|
||||
]).wait()
|
@ -1,42 +0,0 @@
|
||||
"""
|
||||
File that contains the configuration for Hyperopt
|
||||
"""
|
||||
|
||||
|
||||
def hyperopt_optimize_conf() -> dict:
|
||||
"""
|
||||
This function is used to define which parameters Hyperopt must used.
|
||||
The "pair_whitelist" is only used is your are using Hyperopt with MongoDB,
|
||||
without MongoDB, Hyperopt will use the pair your have set in your config file.
|
||||
:return:
|
||||
"""
|
||||
return {
|
||||
'max_open_trades': 3,
|
||||
'stake_currency': 'BTC',
|
||||
'stake_amount': 0.01,
|
||||
"minimal_roi": {
|
||||
'40': 0.0,
|
||||
'30': 0.01,
|
||||
'20': 0.02,
|
||||
'0': 0.04,
|
||||
},
|
||||
'stoploss': -0.10,
|
||||
"bid_strategy": {
|
||||
"ask_last_balance": 0.0
|
||||
},
|
||||
"exchange": {
|
||||
"name": "bittrex",
|
||||
"pair_whitelist": [
|
||||
"ETH/BTC",
|
||||
"LTC/BTC",
|
||||
"ETC/BTC",
|
||||
"DASH/BTC",
|
||||
"ZEC/BTC",
|
||||
"XLM/BTC",
|
||||
"NXT/BTC",
|
||||
"POWR/BTC",
|
||||
"ADA/BTC",
|
||||
"XMR/BTC"
|
||||
]
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue
Block a user