tune xauusd atr breakout defaults

templates/xauusd-atr-breakout/README.md

@@ -3,3 +3,10 @@
 Custom Python breakout baseline for XAUUSD.
 
 This project avoids ML on purpose. It is useful as a transparent baseline to compare against heavier gold models like XGBoost or LightGBM.
+
+The default gate is intentionally responsive so PPE produces more events than a strict long-range breakout filter:
+
+- `breakout_window`: `12`
+- `atr_mult`: `0.05`
+
+If it overtrades, raise `atr_mult` first. If it is still too quiet, shorten `breakout_window`.

templates/xauusd-atr-breakout/quant.config.json

@@ -7,8 +7,8 @@
   "parameters": {
     "lookback": 64,
     "atr_window": 14,
-    "breakout_window": 24,
-    "atr_mult": 0.25
+    "breakout_window": 12,
+    "atr_mult": 0.05
   },
   "training_requirements": [
     "numpy",

templates/xauusd-atr-breakout/strategy.py

@@ -24,8 +24,8 @@ def predict(model, market_data, config):
     params = {**model.get("params", {}), **config.get("parameters", {})}
     lookback = int(params.get("lookback", 64))
     atr_window = int(params.get("atr_window", 14))
-    breakout_window = int(params.get("breakout_window", 24))
-    atr_mult = float(params.get("atr_mult", 0.25))
+    breakout_window = int(params.get("breakout_window", 12))
+    atr_mult = float(params.get("atr_mult", 0.05))
     candles = market_data.get("candles", [])
     if len(candles) < lookback:
         return {"signal": "HOLD", "confidence": 0.0, "metadata": {"reason": "not_enough_candles"}}