2020-12-19 16:59:49 +00:00
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from datetime import datetime
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2020-12-20 10:17:50 +00:00
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2018-01-15 08:35:11 +00:00
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from pandas import DataFrame
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2018-03-17 21:44:47 +00:00
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2020-12-20 10:17:50 +00:00
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from freqtrade.persistence.models import Trade
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2020-02-18 19:12:10 +00:00
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from .strats.default_strategy import DefaultStrategy
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2018-01-15 08:35:11 +00:00
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def test_default_strategy_structure():
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assert hasattr(DefaultStrategy, 'minimal_roi')
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assert hasattr(DefaultStrategy, 'stoploss')
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2020-06-02 08:02:55 +00:00
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assert hasattr(DefaultStrategy, 'timeframe')
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2018-01-15 08:35:11 +00:00
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assert hasattr(DefaultStrategy, 'populate_indicators')
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assert hasattr(DefaultStrategy, 'populate_buy_trend')
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assert hasattr(DefaultStrategy, 'populate_sell_trend')
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2018-01-18 05:50:12 +00:00
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2020-12-19 16:59:49 +00:00
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def test_default_strategy(result, fee):
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2018-07-16 05:11:17 +00:00
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strategy = DefaultStrategy({})
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2018-01-15 08:35:11 +00:00
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2018-07-29 19:07:21 +00:00
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metadata = {'pair': 'ETH/BTC'}
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2018-01-15 08:35:11 +00:00
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assert type(strategy.minimal_roi) is dict
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assert type(strategy.stoploss) is float
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2020-06-02 07:36:04 +00:00
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assert type(strategy.timeframe) is str
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2018-07-29 19:07:21 +00:00
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indicators = strategy.populate_indicators(result, metadata)
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2018-01-15 08:35:11 +00:00
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assert type(indicators) is DataFrame
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2018-07-29 19:07:21 +00:00
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assert type(strategy.populate_buy_trend(indicators, metadata)) is DataFrame
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assert type(strategy.populate_sell_trend(indicators, metadata)) is DataFrame
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2020-12-19 16:59:49 +00:00
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trade = Trade(
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open_rate=19_000,
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amount=0.1,
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pair='ETH/BTC',
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fee_open=fee.return_value
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)
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assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1,
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rate=20000, time_in_force='gtc') is True
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assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1,
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rate=20000, time_in_force='gtc', sell_reason='roi') is True
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2020-12-20 10:17:50 +00:00
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assert strategy.custom_stoploss(pair='ETH/BTC', trade=trade, current_time=datetime.now(),
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2021-04-25 06:15:56 +00:00
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current_rate=20_000, current_profit=0.05, dataframe=None
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) == strategy.stoploss
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