From: Jérôme Benoit Date: Fri, 13 Jun 2025 17:18:06 +0000 (+0200) Subject: perf(qav3): pivot labeling optimization adaptation to more market X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=98f84e4e400c48bfc8e15126fb269da1722e8892;p=freqai-strategies.git perf(qav3): pivot labeling optimization adaptation to more market conditions Signed-off-by: Jérôme Benoit --- diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 14c4a11..d6ae4e8 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -1541,10 +1541,10 @@ def label_objective( candles_step: int, ) -> tuple[float, int]: min_label_period_candles: int = round_to_nearest_int( - max(fit_live_predictions_candles // 18, candles_step), candles_step + max(fit_live_predictions_candles // 22, candles_step), candles_step ) max_label_period_candles: int = round_to_nearest_int( - max(fit_live_predictions_candles // 3, min_label_period_candles), + max(fit_live_predictions_candles // 2, min_label_period_candles), candles_step, ) label_period_candles = trial.suggest_int( @@ -1553,7 +1553,7 @@ def label_objective( max_label_period_candles, step=candles_step, ) - label_natr_ratio = trial.suggest_float("label_natr_ratio", 3.0, 18.0, step=0.01) + label_natr_ratio = trial.suggest_float("label_natr_ratio", 2.0, 22.0, step=0.01) df = df.iloc[ -(