remove code duplicates
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@ -11,14 +11,14 @@ from typing import Dict, Optional, List
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import requests
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from cachetools import cached, TTLCache
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from jsonschema import validate
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from freqtrade import __version__, exchange, persistence
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from freqtrade.analyze import get_signal, SignalType
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from freqtrade.misc import CONF_SCHEMA, State, get_state, update_state, parse_args, throttle
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from freqtrade.misc import (
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FreqtradeException
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)
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from freqtrade.misc import State, get_state, update_state, parse_args, throttle, \
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load_config
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from freqtrade.persistence import Trade
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from freqtrade.rpc import telegram
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@ -335,12 +335,7 @@ def main():
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)
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# Load and validate configuration
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with open(args.config) as file:
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_CONF = json.load(file)
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if 'internals' not in _CONF:
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_CONF['internals'] = {}
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logger.info('Validating configuration ...')
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validate(_CONF, CONF_SCHEMA)
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_CONF = load_config(args.config)
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# Initialize all modules and start main loop
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if args.dynamic_whitelist:
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@ -1,10 +1,12 @@
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import argparse
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import enum
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import json
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import logging
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import os
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import time
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from typing import Any, Callable, List
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from typing import Any, Callable, List, Dict
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from jsonschema import validate
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from wrapt import synchronized
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from freqtrade import __version__
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@ -45,6 +47,21 @@ def get_state() -> State:
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return _STATE
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def load_config(path: str) -> Dict:
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"""
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Loads a config file from the given path
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:param path: path as str
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:return: configuration as dictionary
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"""
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with open(path) as file:
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conf = json.load(file)
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if 'internals' not in conf:
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conf['internals'] = {}
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logger.info('Validating configuration ...')
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validate(conf, CONF_SCHEMA)
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return conf
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def throttle(func: Callable[..., Any], min_secs: float, *args, **kwargs) -> Any:
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"""
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Throttles the given callable that it
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@ -1,13 +1,12 @@
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# pragma pylint: disable=missing-docstring
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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 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 tabulate import tabulate
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@ -16,6 +15,7 @@ from freqtrade.analyze import parse_ticker_dataframe, populate_indicators, \
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populate_buy_trend, populate_sell_trend
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from freqtrade.exchange import Bittrex
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from freqtrade.main import min_roi_reached
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from freqtrade.misc import load_config
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from freqtrade.persistence import Trade
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from freqtrade.tests import load_backtesting_data
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@ -32,11 +32,6 @@ def format_results(results: DataFrame):
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)
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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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def preprocess(backdata) -> Dict[str, DataFrame]:
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processed = {}
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for pair, pair_data in backdata.items():
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@ -44,7 +39,7 @@ def preprocess(backdata) -> Dict[str, DataFrame]:
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return processed
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def get_timeframe(data: Dict[str, Dict]) -> Tuple[Arrow, Arrow]:
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def get_timeframe(data: Dict[str, Dict]) -> Tuple[arrow.Arrow, arrow.Arrow]:
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"""
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Get the maximum timeframe for the given backtest data
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:param data: dictionary with backtesting data
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@ -118,38 +113,40 @@ def backtest(backtest_conf, processed, 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, mocker):
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print('')
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exchange._API = Bittrex({'key': '', 'secret': ''})
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config = None
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# Load configuration file based on env variable
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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 conf_file:
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config = json.load(conf_file)
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config = load_config(conf_path)
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else:
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config = backtest_conf
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# Parse ticker interval
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ticker_interval = int(os.environ.get('BACKTEST_TICKER_INTERVAL') or 5)
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print('Using ticker_interval: {} ...'.format(ticker_interval))
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data = {}
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if os.environ.get('BACKTEST_LIVE'):
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print('Downloading data for all pairs in whitelist ...')
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exchange._API = Bittrex({'key': '', 'secret': ''})
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for pair in config['exchange']['pair_whitelist']:
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data[pair] = exchange.get_ticker_history(pair, ticker_interval)
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else:
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print('Using local backtesting data (ignoring whitelist in given config)...')
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data = load_backtesting_data(ticker_interval)
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config = config or backtest_conf
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print('Using stake_currency: {} ...\nUsing stake_amount: {} ...'.format(
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config['stake_currency'], config['stake_amount']
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))
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# Print timeframe
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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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# Execute backtest and print results
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results = backtest(config, preprocess(data), mocker)
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print('====================== BACKTESTING REPORT ======================================\n\n'
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'NOTE: This Report doesn\'t respect the limits of max_open_trades, \n'
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@ -9,6 +9,8 @@ import pytest
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from hyperopt import fmin, tpe, hp, Trials, STATUS_OK
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from pandas import DataFrame
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from freqtrade import exchange
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from freqtrade.exchange import Bittrex
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from freqtrade.tests.test_backtesting import backtest, format_results
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from freqtrade.tests.test_backtesting import preprocess
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from freqtrade.vendor.qtpylib.indicators import crossed_above
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@ -70,6 +72,7 @@ def buy_strategy_generator(params):
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def test_hyperopt(backtest_conf, backdata, mocker):
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mocked_buy_trend = mocker.patch('freqtrade.tests.test_backtesting.populate_buy_trend')
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processed = preprocess(backdata)
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exchange._API = Bittrex({'key': '', 'secret': ''})
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def optimizer(params):
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mocked_buy_trend.side_effect = buy_strategy_generator(params)
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