Disable TP tightening: tuned pre-spread, halves total R under real fills

A/B on M15 2025-03-30→2026-05-31 with $0.30 spread + gap-through fills
(511 identical entries, only exits differ):
  factor 0.8 / min_rr 0.4: +36.1R (avg +0.071R, SELL +1.2R)
  factor 1.0 / min_rr 0.5: +66.8R (avg +0.131R, SELL +9.6R)
Worse in both train and validation halves and both directions. The 20%
tighter targets buy +1.8pt win rate but shrink every win while the fixed
spread stays constant. The knob remains for re-tuning with costs included.

config.py

@@ -117,8 +117,12 @@ class SignalConfig:
     default_risk_pct: float = 1.0
     default_rr_ratio: float = 2.0
     atr_sl_multiplier: float = 1.5
-    min_rr_ratio: float = 0.4
+    min_rr_ratio: float = 0.5
-    tp_tightening_factor: float = 0.8
+    # TP tightening (May 2026) was tuned on the pre-spread backtester.
+    # Re-tested 2026-07-08 with $0.30 spread + gap fills: 0.8 nearly
+    # halves total R (+36.1R vs +66.8R, worse in both train/val halves)
+    # — smaller wins make the fixed spread a larger share of every TP.
+    tp_tightening_factor: float = 1.0
 
 
 @dataclass

test_all.py

@@ -167,8 +167,8 @@ def _():
 def _():
     sc = SignalConfig()
     assert sc.min_confidence == 55.0
-    assert sc.min_rr_ratio == 0.4
+    assert sc.min_rr_ratio == 0.5
-    assert sc.tp_tightening_factor == 0.8
+    assert sc.tp_tightening_factor == 1.0
     assert sc.atr_sl_multiplier == 1.5
     assert sc.default_rr_ratio == 2.0
     assert sc.cooldown_bars == 5