test_strategy_test_v2 for shorts
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@ -1,5 +1,6 @@
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from datetime import datetime
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import pytest
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from pandas import DataFrame
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from freqtrade.persistence.models import Trade
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@ -16,7 +17,11 @@ def test_strategy_test_v2_structure():
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assert hasattr(StrategyTestV3, 'populate_sell_trend')
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def test_strategy_test_v2(result, fee):
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@pytest.mark.parametrize('is_short,side', [
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(True, 'short'),
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(False, 'long'),
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])
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def test_strategy_test_v2(result, fee, is_short, side):
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strategy = StrategyTestV3({})
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metadata = {'pair': 'ETH/BTC'}
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@ -32,16 +37,18 @@ def test_strategy_test_v2(result, fee):
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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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fee_open=fee.return_value,
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is_short=is_short
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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',
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current_time=datetime.utcnow(), side='long') is True
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current_time=datetime.utcnow(),
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side=side) 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',
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current_time=datetime.utcnow()) is True
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current_time=datetime.utcnow(),
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side=side) is True
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# TODO-lev: Test for shorts?
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assert strategy.custom_stoploss(pair='ETH/BTC', trade=trade, current_time=datetime.now(),
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current_rate=20_000, current_profit=0.05) == strategy.stoploss
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