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test: update pair_detail_simplified test
parallel analysis should cover more detailed cases to prevent intra-candle parallelism
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@@ -1772,15 +1772,18 @@ def test_backtest_multi_pair_detail_simplified(
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if use_detail:
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# Backtest loop is called once per candle per pair
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# Exact numbers depend on trade state - but should be around 3_800
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assert bl_spy.call_count > 3_350
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assert bl_spy.call_count < 3_800
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assert bl_spy.call_count > 2_250
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assert bl_spy.call_count < 2_800
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else:
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assert bl_spy.call_count < 995
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# Make sure we have parallel trades
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assert len(evaluate_result_multi(results["results"], "1h", 2)) > 0
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# make sure we don't have trades with more than configured max_open_trades
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# This must evaluate on detail timeframe - as we can have entries within the candle.
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assert len(evaluate_result_multi(results["results"], "1h", 3)) == 0
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assert len(evaluate_result_multi(results["results"], "5m", 3)) == 0
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assert len(evaluate_result_multi(results["results"], "1m", 3)) == 0
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# # Cached data correctly removed amounts
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offset = 1 if tres == 0 else 0
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@@ -1800,6 +1803,8 @@ def test_backtest_multi_pair_detail_simplified(
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}
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results = backtesting.backtest(**backtest_conf)
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assert len(evaluate_result_multi(results["results"], "1h", 1)) == 0
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assert len(evaluate_result_multi(results["results"], "5m", 1)) == 0
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assert len(evaluate_result_multi(results["results"], "1m", 1)) == 0
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@pytest.mark.parametrize("use_detail", [True, False])
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