implement backtest subcommand
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@@ -3,6 +3,7 @@ import json
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from datetime import datetime
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from unittest.mock import MagicMock
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import os
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import pytest
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from jsonschema import validate
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from telegram import Message, Chat, Update
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@@ -67,11 +68,12 @@ def backtest_conf():
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@pytest.fixture(scope="module")
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def backdata():
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path = os.path.abspath(os.path.dirname(__file__))
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result = {}
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for pair in ['btc-neo', 'btc-eth', 'btc-omg', 'btc-edg', 'btc-pay',
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'btc-pivx', 'btc-qtum', 'btc-mtl', 'btc-etc', 'btc-ltc']:
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with open('freqtrade/tests/testdata/' + pair + '.json') as data_file:
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result[pair] = json.load(data_file)
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with open('{abspath}/testdata/{pair}.json'.format(abspath=path, pair=pair)) as fp:
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result[pair] = json.load(fp)
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return result
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@@ -1,10 +1,13 @@
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# pragma pylint: disable=missing-docstring
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from typing import Dict
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import json
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import logging
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import os
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from typing import Tuple, Dict
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import pytest
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import arrow
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import pytest
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from arrow import Arrow
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from pandas import DataFrame
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from freqtrade import exchange
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@@ -14,15 +17,20 @@ from freqtrade.exchange import Bittrex
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from freqtrade.main import min_roi_reached
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from freqtrade.persistence import Trade
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logging.disable(logging.DEBUG) # disable debug logs that slow backtesting a lot
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logger = logging.getLogger(__name__)
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def format_results(results):
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return 'Made {} buys. Average profit {:.2f}%. Total profit was {:.3f}. Average duration {:.1f} mins.'.format(
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len(results.index), results.profit.mean() * 100.0, results.profit.sum(), results.duration.mean() * 5)
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def format_results(results: DataFrame):
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return 'Made {} buys. Average profit {:.2f}%. ' \
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'Total profit was {:.3f}. Average duration {:.1f} mins.'.format(
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len(results.index),
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results.profit.mean() * 100.0,
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results.profit.sum(),
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results.duration.mean() * 5,
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)
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def print_pair_results(pair, results):
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def print_pair_results(pair: str, results: DataFrame):
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print('For currency {}:'.format(pair))
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print(format_results(results[results.currency == pair]))
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@@ -34,11 +42,21 @@ def preprocess(backdata) -> Dict[str, DataFrame]:
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return processed
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def get_timeframe(backdata: Dict[str, Dict]) -> Tuple[Arrow, Arrow]:
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min_date, max_date = None, None
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for values in backdata.values():
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values = sorted(values, key=lambda d: arrow.get(d['T']))
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if not min_date or values[0]['T'] < min_date:
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min_date = values[0]['T']
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if not max_date or values[-1]['T'] > max_date:
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max_date = values[-1]['T']
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return arrow.get(min_date), arrow.get(max_date)
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def backtest(backtest_conf, processed, mocker):
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trades = []
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exchange._API = Bittrex({'key': '', 'secret': ''})
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mocker.patch.dict('freqtrade.main._CONF', backtest_conf)
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mocker.patch('arrow.utcnow', return_value=arrow.get('2017-08-20T14:50:00'))
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for pair, pair_data in processed.items():
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pair_data['buy'] = 0
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pair_data['sell'] = 0
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@@ -62,12 +80,35 @@ def backtest(backtest_conf, processed, mocker):
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return DataFrame.from_records(trades, columns=labels)
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@pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
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def test_backtest(backtest_conf, backdata, mocker, report=True):
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results = backtest(backtest_conf, preprocess(backdata), mocker)
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@pytest.mark.skipif(not os.environ.get('BACKTEST'), reason="BACKTEST not set")
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def test_backtest(backtest_conf, backdata, mocker):
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print('')
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config = None
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conf_path = os.environ.get('BACKTEST_CONFIG')
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if conf_path:
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print('Using config: {} ...'.format(conf_path))
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with open(conf_path, 'r') as fp:
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config = json.load(fp)
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livedata = {}
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if os.environ.get('BACKTEST_LIVE'):
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print('Downloading data for all pairs in whitelist ...'.format(conf_path))
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exchange._API = Bittrex({'key': '', 'secret': ''})
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for pair in config['exchange']['pair_whitelist']:
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livedata[pair] = exchange.get_ticker_history(pair)
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config = config or backtest_conf
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data = livedata or backdata
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min_date, max_date = get_timeframe(data)
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print('Measuring data from {} up to {} ...'.format(
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min_date.isoformat(), max_date.isoformat()
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))
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results = backtest(config, preprocess(data), mocker)
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print('====================== BACKTESTING REPORT ================================')
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for pair in backdata:
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for pair in data:
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print_pair_results(pair, results)
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print('TOTAL OVER ALL TRADES:')
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print(format_results(results))
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