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Merge pull request #1002 from xmatthias/test/use_open_backtest
Use open-rates for backtesting
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b4be3c2499
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@ -134,7 +134,7 @@ class Backtesting(object):
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stake_amount = args['stake_amount']
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max_open_trades = args.get('max_open_trades', 0)
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trade = Trade(
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open_rate=buy_row.close,
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open_rate=buy_row.open,
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open_date=buy_row.date,
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stake_amount=stake_amount,
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amount=stake_amount / buy_row.open,
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@ -149,35 +149,35 @@ class Backtesting(object):
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trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1
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buy_signal = sell_row.buy
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if self.analyze.should_sell(trade, sell_row.close, sell_row.date, buy_signal,
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if self.analyze.should_sell(trade, sell_row.open, sell_row.date, buy_signal,
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sell_row.sell):
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return BacktestResult(pair=pair,
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profit_percent=trade.calc_profit_percent(rate=sell_row.close),
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profit_abs=trade.calc_profit(rate=sell_row.close),
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profit_percent=trade.calc_profit_percent(rate=sell_row.open),
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profit_abs=trade.calc_profit(rate=sell_row.open),
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open_time=buy_row.date,
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close_time=sell_row.date,
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trade_duration=(sell_row.date - buy_row.date).seconds // 60,
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open_index=buy_row.Index,
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close_index=sell_row.Index,
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open_at_end=False,
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open_rate=buy_row.close,
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close_rate=sell_row.close
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open_rate=buy_row.open,
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close_rate=sell_row.open
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)
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if partial_ticker:
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# no sell condition found - trade stil open at end of backtest period
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sell_row = partial_ticker[-1]
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btr = BacktestResult(pair=pair,
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profit_percent=trade.calc_profit_percent(rate=sell_row.close),
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profit_abs=trade.calc_profit(rate=sell_row.close),
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profit_percent=trade.calc_profit_percent(rate=sell_row.open),
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profit_abs=trade.calc_profit(rate=sell_row.open),
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open_time=buy_row.date,
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close_time=sell_row.date,
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trade_duration=(sell_row.date - buy_row.date).seconds // 60,
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open_index=buy_row.Index,
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close_index=sell_row.Index,
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open_at_end=True,
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open_rate=buy_row.close,
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close_rate=sell_row.close
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open_rate=buy_row.open,
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close_rate=sell_row.open
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)
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logger.debug('Force_selling still open trade %s with %s perc - %s', btr.pair,
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btr.profit_percent, btr.profit_abs)
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@ -502,28 +502,28 @@ def test_backtest(default_conf, fee, mocker) -> None:
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expected = pd.DataFrame(
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{'pair': [pair, pair],
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'profit_percent': [0.00148826, 0.00075313],
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'profit_percent': [0.00029975, 0.00056708],
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'profit_abs': [1.49e-06, 7.6e-07],
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'open_time': [Arrow(2018, 1, 29, 18, 40, 0).datetime,
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Arrow(2018, 1, 30, 3, 30, 0).datetime],
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'close_time': [Arrow(2018, 1, 29, 23, 15, 0).datetime,
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'close_time': [Arrow(2018, 1, 29, 22, 40, 0).datetime,
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Arrow(2018, 1, 30, 4, 20, 0).datetime],
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'open_index': [77, 183],
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'close_index': [132, 193],
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'trade_duration': [275, 50],
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'close_index': [125, 193],
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'trade_duration': [240, 50],
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'open_at_end': [False, False],
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'open_rate': [0.10432, 0.103364],
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'close_rate': [0.104999, 0.10396]})
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'open_rate': [0.104445, 0.10302485],
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'close_rate': [0.105, 0.10359999]})
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pd.testing.assert_frame_equal(results, expected)
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data_pair = data_processed[pair]
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for _, t in results.iterrows():
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ln = data_pair.loc[data_pair["date"] == t["open_time"]]
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# Check open trade
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# Check open trade rate alignes to open rate
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assert ln is not None
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assert round(ln.iloc[0]["close"], 6) == round(t["open_rate"], 6)
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# check close trade
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assert round(ln.iloc[0]["open"], 6) == round(t["open_rate"], 6)
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# check close trade rate alignes to close rate
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ln = data_pair.loc[data_pair["date"] == t["close_time"]]
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assert round(ln.iloc[0]["close"], 6) == round(t["close_rate"], 6)
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assert round(ln.iloc[0]["open"], 6) == round(t["close_rate"], 6)
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def test_backtest_1min_ticker_interval(default_conf, fee, mocker) -> None:
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