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backtest_live_models - fix issue with timerange BT and 2 trainings within same candle (no data)
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14b96aaa38
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@ -465,6 +465,11 @@ class FreqaiDataKitchen:
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tr_backtesting_list_timerange = []
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pair = self.pair.split("/")[0].split(":")[0]
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if pair not in self.backtest_live_models_data["pairs_end_dates"]:
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raise OperationalException(
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f"Model not available for pair {self.pair}. "
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"Please, try again after removing this pair from the configuration file."
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)
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pair_data = self.backtest_live_models_data["pairs_end_dates"][pair]
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model_end_dates = []
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backtesting_timerange = self.backtest_live_models_data["backtesting_timerange"]
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@ -257,6 +257,21 @@ class IFreqaiModel(ABC):
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dataframe_train = dk.slice_dataframe(tr_train, dataframe)
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dataframe_backtest = dk.slice_dataframe(tr_backtest, dataframe)
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if dk.backtest_live_models and len(dataframe_backtest) == 0:
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tr_backtest_startts_str = datetime.fromtimestamp(
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tr_backtest.startts,
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tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
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tr_backtest_stopts_str = datetime.fromtimestamp(
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tr_backtest.stopts,
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tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
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logger.info(
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f"No data found for pair {pair} "
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f" from {tr_backtest_startts_str} "
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f"to {tr_backtest_stopts_str}. "
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"Probably more than one training within the same candle period."
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)
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continue
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trained_timestamp = tr_train
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tr_train_startts_str = datetime.fromtimestamp(
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tr_train.startts,
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@ -264,6 +279,7 @@ class IFreqaiModel(ABC):
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tr_train_stopts_str = datetime.fromtimestamp(
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tr_train.stopts,
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tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
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if not dk.backtest_live_models:
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logger.info(
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f"Training {pair}, {self.pair_it}/{self.total_pairs} pairs"
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@ -2,7 +2,7 @@
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FreqAI generic functions
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"""
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import logging
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from datetime import datetime, timezone
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from typing import Any, Dict, Tuple
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@ -89,7 +89,17 @@ def get_timerange_from_ready_models(models_path: Path) -> Tuple[TimeRange, str,
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all_models_end_dates.sort()
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start = datetime.fromtimestamp(min(all_models_end_dates), tz=timezone.utc)
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stop = datetime.fromtimestamp(max(all_models_end_dates), tz=timezone.utc)
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backtesting_string_timerange = f"{start.strftime('%Y%m%d')}-{stop.strftime('%Y%m%d')}"
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end_date_string_timerange = stop
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if (
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finish_timestamp < int(datetime.now(tz=timezone.utc).timestamp()) and
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datetime.now(tz=timezone.utc).strftime('%Y%m%d') != stop.strftime('%Y%m%d')
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):
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# add 1 day to string timerange to ensure BT module will load all dataframe data
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end_date_string_timerange = stop + timedelta(days=1)
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backtesting_string_timerange = (
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f"{start.strftime('%Y%m%d')}-{end_date_string_timerange.strftime('%Y%m%d')}"
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)
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backtesting_timerange = TimeRange(
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'date', 'date', min(all_models_end_dates), max(all_models_end_dates)
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)
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