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Feature Iteration Run #985: zz_sylvain

Status: stopped_by_budget | Started: 2026-07-26 04:41:28 | Ended: 2026-07-26 04:43:44

⭐ Best Accepted Iteration

Iteration 4: k_high.pct_change(12) / (1 + atr_norm) * (1 - price_positio…

baseline PF: 1.947 → modified PF: 2.466 | Cohen's d: 0.446 | p-value: 0.013

📊 Iterations

Iter Y Label Model Warm Proxy Parent FS Feature DSL DSL Valid Baseline PF Modified PF Scalar Score t-stat p-value Cohen's d Result Reason
1 C8 gradient_boosting — — #7 k_loop_iter_1_26e93e (k_momentum_pct_change - o_div_amplitud… ✅ 1.947 0.775 -3.6248 0.000 0.278 0.577 ❌ REJECT normalized_score -0.4195 <= 0.0, sharpe_delta -26.7167 < -0.1, hypothesis test not confirmed, constraints: ['sharpe_ratio >= 1.0: got -7.5544']
2 C8 gradient_boosting — — #7 k_iter2_k_high_pct_change_hl_range_dist_to_high k_high.pct_change(12) * (1 + hl_range) … ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT quality_gate: C8 leakage: ['dist_to_high']
3 C8 gradient_boosting — — #7 k_iter3_abs_k_volume_rolling_mean abs(o_div_binary(48)) * k_volume.rollin… ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT safe_eval DSL: 變數未定義: abs
4 C8 gradient_boosting — — #7 k_loop_iter_4_94adea k_high.pct_change(12) / (1 + atr_norm) … ✅ 1.947 2.466 1.4197 0.000 0.013 0.446 ✅ ACCEPT accepted

📊 Multi-Objective Metrics

Iteration 1: k_loop_iter_1_26e93e

Y Label: C8 | Parent FS: #7

Objective mode: scalarize

Scalar score: -3.6248

Failed constraints: sharpe_ratio >= 1.0: got -7.5544

MetricBaselineModifiedDiff
win_rate 0.600 0.424 -0.176
max_drawdown 0.056 0.131 0.075
sharpe_ratio 19.162 -7.554 -26.717
profit_factor 1.947 0.775 -1.172
test_accuracy 0.992 0.992 -0.001

Iteration 2: k_iter2_k_high_pct_change_hl_range_dist_to_high

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

Iteration 3: k_iter3_abs_k_volume_rolling_mean

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

Iteration 4: k_loop_iter_4_94adea

Y Label: C8 | Parent FS: #7

Objective mode: scalarize

Scalar score: 1.4197

MetricBaselineModifiedDiff
win_rate 0.600 0.636 0.036
max_drawdown 0.056 0.050 -0.006
sharpe_ratio 19.162 24.727 5.565
profit_factor 1.947 2.466 0.519
test_accuracy 0.992 0.992 0.000