Upload Nemotron optimization response

optimization_cpu_nemotron/20260822T220051Z/nemotron_cycle_03.json

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+{
+  "pure": {
+    "params": {
+      "lookback": 18,
+      "confirm_buffer": 0.0056,
+      "min_sweep_fraction": 0.0162
+    },
+    "reason": "Validation sample small (240 opps) but shows 49.2% WR at 1.5R. Slightly increase confirm_buffer and min_sweep_fraction to filter marginal signals; keep lookback stable. Changes bounded within 2-3% of current."
+  },
+  "deep": {
+    "params": {
+      "min_sweep_depth": 0.035,
+      "max_sweep_depth": 0.5469594155911383,
+      "min_close_back": 0.243668643355904,
+      "min_rejection_wick": 0.22,
+      "min_range_quality": 0.6420840128193207,
+      "max_range_quality": 3.0,
+      "max_c1_body_ratio": 0.8320481699691716,
+      "require_purity": true,
+      "require_m5_confirmation": false
+    },
+    "reason": "Validation sample robust (1140 opps) with 39.6% WR at 1.5R aligning with backtest (41.9%). Increase min_sweep_depth and min_rejection_wick to demand stronger sweeps/rejections; lower max_range_quality to exclude overly wide ranges. All changes within ~10% of current."
+  },
+  "overall_reason": "Deep strategy preferred for deployment due to larger opportunity counts (7.9k vs 4.6k backtest, 1.1k vs 0.24k validation) and tighter backtest-validation alignment. Pure strategy kept with minor noise reduction but flagged for monitoring given thin validation sample. No fronttest data used."
+}