From: Jérôme Benoit <jerome.benoit@piment-noir.org>
Date: Wed, 30 Apr 2025 10:44:08 +0000 (+0200)
Subject: perf(qav3): fine tune extrema thresholds
X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=60546cd74e9fd6bc4c24ac24d717a54f7eeb01f2;p=freqai-strategies.git

perf(qav3): fine tune extrema thresholds

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>
---

diff --git a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
index 5d0a570..b09f2f5 100644
--- a/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
+++ b/quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
@@ -45,7 +45,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
     https://github.com/sponsors/robcaulk
     """
 
-    version = "3.7.20"
+    version = "3.7.21"
 
     @cached_property
     def _optuna_config(self) -> dict:
@@ -383,7 +383,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
         label_period_candles: int,
     ) -> tuple[float, float]:
         temperature = float(
-            self.freqai_info.get("prediction_thresholds_temperature", 225.0)
+            self.freqai_info.get("prediction_thresholds_temperature", 250.0)
         )
         extrema = pred_df[EXTREMA_COLUMN].iloc[
             -(