From: Jérôme Benoit <jerome.benoit@piment-noir.org>
Date: Sat, 23 May 2026 23:55:34 +0000 (+0200)
Subject: fix(weights): persist label weights into <label>_weight column instead of rescaling... 
X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=3eaabfa5d4438a06ebe4e8d9cbbbfc8170053d9a;p=freqai-strategies.git

fix(weights): persist label weights into <label>_weight column instead of rescaling target

Removes statistically incorrect target rescaling (label = direction × weight). Persists raw direction labels and a separate <label>_weight column for downstream sample_weight composition. Validated locally with pytest (evidence: .omo/evidence/task-6-{red,green}.txt).
---

diff --git a/quickadapter/user_data/strategies/QuickAdapterV3.py b/quickadapter/user_data/strategies/QuickAdapterV3.py
index 7fc6a40..37b262e 100644
--- a/quickadapter/user_data/strategies/QuickAdapterV3.py
+++ b/quickadapter/user_data/strategies/QuickAdapterV3.py
@@ -826,14 +826,15 @@ class QuickAdapterV3(IStrategy):
                 label_col, label_weighting["default"], label_weighting["columns"]
             )
 
-            weighted_label, _ = apply_label_weighting(
+            _, label_weights = apply_label_weighting(
                 label=label_data.series,
                 indices=label_data.indices,
                 metrics=label_data.metrics,
                 weighting_config=col_weighting_config,
             )
 
-            dataframe[label_col] = weighted_label
+            dataframe[label_col] = label_data.series
+            dataframe[f"{label_col}_weight"] = label_weights
 
             if label_col == EXTREMA_COLUMN:
                 extrema = dataframe[label_col]