Simplify timerange handling
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@@ -432,9 +432,7 @@ class FreqaiDataKitchen:
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timerange_train.stopts = timerange_train.startts + train_period_days
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first = False
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start = timerange_train.startdt
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stop = timerange_train.stopdt
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tr_training_list.append(start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d"))
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tr_training_list.append(timerange_train.timerange_str)
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tr_training_list_timerange.append(copy.deepcopy(timerange_train))
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# associated backtest period
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@@ -446,9 +444,7 @@ class FreqaiDataKitchen:
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if timerange_backtest.stopts > config_timerange.stopts:
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timerange_backtest.stopts = config_timerange.stopts
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start = timerange_backtest.startdt
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stop = timerange_backtest.stopdt
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tr_backtesting_list.append(start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d"))
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tr_backtesting_list.append(timerange_backtest.timerange_str)
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tr_backtesting_list_timerange.append(copy.deepcopy(timerange_backtest))
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# ensure we are predicting on exactly same amount of data as requested by user defined
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@@ -1055,9 +1051,7 @@ class FreqaiDataKitchen:
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backtest_timerange.startts = (
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backtest_timerange.startts - backtest_period_days * SECONDS_IN_DAY
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)
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start = backtest_timerange.startdt
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stop = backtest_timerange.stopdt
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full_timerange = start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d")
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full_timerange = backtest_timerange.timerange_str
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config_path = Path(self.config["config_files"][0])
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if not self.full_path.is_dir():
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