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  },
  "nemotron_response": {
    "pure": {
      "params": {
        "lookback": 18,
        "confirm_buffer": 0.0055,
        "min_sweep_fraction": 0.016
      },
      "reason": "Validation sample only 240 trades (all 2026) \u2014 too small for confident optimization. Backtest shows 4,620 trades with stable ~41% win rate at 1.5R. Top-pure params marginally improve backtest score; adopt small bounded moves toward them (confirm_buffer -0.0005, min_sweep_fraction +0.001) while keeping lookback unchanged."
    },
    "deep": {
      "params": {
        "min_sweep_depth": 0.031,
        "max_sweep_depth": 0.526,
        "min_close_back": 0.23,
        "min_rejection_wick": 0.28,
        "min_range_quality": 0.7,
        "max_range_quality": 3.07,
        "max_c1_body_ratio": 0.78,
        "require_purity": true,
        "require_m5_confirmation": false
      },
      "reason": "Deep strategy has robust samples: 6,000 backtest and 840 validation trades. Validation win rates (39% at 1.5R) closely track backtest (42%), indicating parameter stability. Top-deep params improve backtest score; move current params toward top-deep values with bounded steps (e.g., min_sweep_depth -0.004, min_close_back -0.02, min_rejection_wick -0.02, min_range_quality -0.05, max_c1_body_ratio +0.03, require_m5_confirmation=false)."
    },
    "overall_reason": "Deep strategy preferred for parameter updates due to larger validation sample (840 vs 240) and consistent backtest/validation performance. Pure strategy changes kept minimal due to tiny validation sample; monitor for regime shift in 2026 before larger adjustments."
  }
}