From 57d24e69b662ebee4ac38f3780744aae6451adb9 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Fri, 25 Apr 2025 11:19:27 +0200 Subject: [PATCH] perf(qav3): fine tune entry signal thresholds MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- .../user_data/freqaimodels/QuickAdapterRegressorV3.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py index 18f1751..d1b1a44 100644 --- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py +++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py @@ -382,11 +382,11 @@ class QuickAdapterRegressorV3(BaseRegressionModel): label_period_candles: int, ) -> tuple[float, float]: temperature = float( - self.freqai_info.get("prediction_thresholds_temperature", 125.0) + self.freqai_info.get("prediction_thresholds_temperature", 175.0) ) extrema = pred_df[EXTREMA_COLUMN].iloc[ -( - max(2, int((fit_live_predictions_candles / 2) / label_period_candles)) + max(2, int(fit_live_predictions_candles / label_period_candles)) * label_period_candles ) : ] @@ -972,7 +972,7 @@ def label_objective( df = df.iloc[ -( - int(fit_live_predictions_candles / label_period_candles) + max(2, int(fit_live_predictions_candles / label_period_candles)) * label_period_candles ) : ] -- 2.43.0