mirror of
https://github.com/freqtrade/freqtrade.git
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161 lines
5.7 KiB
Python
161 lines
5.7 KiB
Python
from copy import deepcopy
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from unittest.mock import MagicMock
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import pytest
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from freqtrade.data.history.history_utils import get_timerange
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from freqtrade.optimize.backtesting import Backtesting
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from freqtrade.persistence import Trade, disable_database_use, enable_database_use
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from freqtrade.persistence.custom_data import CustomDataWrapper
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from tests.conftest import (EXMS, create_mock_trades_usdt, generate_test_data,
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get_patched_freqtradebot, patch_exchange)
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@pytest.mark.usefixtures("init_persistence")
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@pytest.mark.parametrize("use_db", [True, False])
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def test_trade_custom_data(fee, use_db):
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if not use_db:
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disable_database_use('5m')
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Trade.reset_trades()
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CustomDataWrapper.reset_custom_data()
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create_mock_trades_usdt(fee, use_db=use_db)
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trade1 = Trade.get_trades_proxy()[0]
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if not use_db:
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trade1.id = 1
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assert trade1.get_all_custom_data() == []
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trade1.set_custom_data('test_str', 'test_value')
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trade1.set_custom_data('test_int', 1)
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trade1.set_custom_data('test_float', 1.55)
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trade1.set_custom_data('test_bool', True)
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trade1.set_custom_data('test_dict', {'test': 'dict'})
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assert len(trade1.get_all_custom_data()) == 5
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assert trade1.get_custom_data('test_str') == 'test_value'
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trade1.set_custom_data('test_str', 'test_value_updated')
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assert trade1.get_custom_data('test_str') == 'test_value_updated'
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assert trade1.get_custom_data('test_int') == 1
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assert isinstance(trade1.get_custom_data('test_int'), int)
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assert trade1.get_custom_data('test_float') == 1.55
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assert isinstance(trade1.get_custom_data('test_float'), float)
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assert trade1.get_custom_data('test_bool') is True
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assert isinstance(trade1.get_custom_data('test_bool'), bool)
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assert trade1.get_custom_data('test_dict') == {'test': 'dict'}
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assert isinstance(trade1.get_custom_data('test_dict'), dict)
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if not use_db:
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enable_database_use()
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def test_trade_custom_data_strategy_compat(mocker, default_conf_usdt, fee):
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mocker.patch(f'{EXMS}.get_rate', return_value=0.50)
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mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount', return_value=None)
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default_conf_usdt["minimal_roi"] = {"0": 100}
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freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
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create_mock_trades_usdt(fee)
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trade1 = Trade.get_trades_proxy(pair='ADA/USDT')[0]
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trade1.set_custom_data('test_str', 'test_value')
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trade1.set_custom_data('test_int', 1)
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def custom_exit(pair, trade, **kwargs):
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if pair == 'ADA/USDT':
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custom_val = trade.get_custom_data('test_str')
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custom_val_i = trade.get_custom_data('test_int')
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return f"{custom_val}_{custom_val_i}"
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freqtrade.strategy.custom_exit = custom_exit
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ff_spy = mocker.spy(freqtrade.strategy, 'custom_exit')
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trades = Trade.get_open_trades()
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freqtrade.exit_positions(trades)
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Trade.commit()
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trade_after = Trade.get_trades_proxy(pair='ADA/USDT')[0]
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assert trade_after.get_custom_data('test_str') == 'test_value'
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assert trade_after.get_custom_data('test_int') == 1
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# 2 open pairs eligible for exit
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assert ff_spy.call_count == 2
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assert trade_after.exit_reason == 'test_value_1'
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def test_trade_custom_data_strategy_backtest_compat(mocker, default_conf_usdt, fee):
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mocker.patch(f'{EXMS}.get_fee', fee)
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mocker.patch(f"{EXMS}.get_min_pair_stake_amount", return_value=10)
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mocker.patch(f"{EXMS}.get_max_pair_stake_amount", return_value=float('inf'))
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mocker.patch(f"{EXMS}.get_max_leverage", return_value=10)
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mocker.patch(f"{EXMS}.get_maintenance_ratio_and_amt", return_value=(0.1, 0.1))
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mocker.patch('freqtrade.optimize.backtesting.Backtesting._run_funding_fees')
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patch_exchange(mocker)
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default_conf_usdt.update({
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"stake_amount": 100.0,
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"max_open_trades": 2,
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"dry_run_wallet": 1000.0,
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"strategy": "StrategyTestV3",
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"trading_mode": "futures",
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"margin_mode": "isolated",
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"stoploss": -2,
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"minimal_roi": {"0": 100},
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})
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default_conf_usdt['pairlists'] = [{'method': 'StaticPairList', 'allow_inactive': True}]
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backtesting = Backtesting(default_conf_usdt)
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df = generate_test_data(default_conf_usdt['timeframe'], 100, '2022-01-01 00:00:00+00:00')
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pair_exp = 'XRP/USDT:USDT'
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def custom_exit(pair, trade, **kwargs):
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custom_val = trade.get_custom_data('test_str')
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custom_val_i = trade.get_custom_data('test_int', 0)
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if pair == pair_exp:
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trade.set_custom_data('test_str', 'test_value')
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trade.set_custom_data('test_int', custom_val_i + 1)
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if custom_val_i >= 2:
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return f"{custom_val}_{custom_val_i}"
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backtesting._set_strategy(backtesting.strategylist[0])
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processed = backtesting.strategy.advise_all_indicators({
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pair_exp: df,
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'BTC/USDT:USDT': df,
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})
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def fun(dataframe, *args, **kwargs):
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dataframe.loc[dataframe.index == 50, 'enter_long'] = 1
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return dataframe
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backtesting.strategy.advise_entry = fun
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backtesting.strategy.leverage = MagicMock(return_value=1)
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backtesting.strategy.custom_exit = custom_exit
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ff_spy = mocker.spy(backtesting.strategy, 'custom_exit')
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min_date, max_date = get_timerange(processed)
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result = backtesting.backtest(
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processed=deepcopy(processed),
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start_date=min_date,
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end_date=max_date,
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)
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results = result['results']
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assert not results.empty
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assert len(results) == 2
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assert results['pair'][0] == pair_exp
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assert results['pair'][1] == 'BTC/USDT:USDT'
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assert results['exit_reason'][0] == 'test_value_2'
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assert results['exit_reason'][1] == 'exit_signal'
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assert ff_spy.call_count == 7
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Backtesting.cleanup()
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