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Feature Iteration Run #1775: zz_sylvain

Status: completed | Started: 2026-10-03 07:44:51 | Ended: 2026-10-03 07:45:28

📊 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 — — #1748 k_iter1_k_trend_atr_volratio trend_atr = (close - ta.sma(close, 20))… ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT translator_verify: 3 輪修復仍未通過 — max_diff=0.006539 (tol=0.001), nan_mismatch=0

📄 Report Markdown

# AUTOLOOP: zz_sylvain (1 iterations)

> **Phase**: Y4.7 Option B (DSL → Python code → FeatureSet candidate)
> **Target indicator**: zz_sylvain
> **Base feature_set_id**: 1748
> **Claim**: (default) Propose a new k_* feature that improves risk-adjusted returns
> **Objective mode**: scalarize
> **Metrics**: ['profit_factor', 'sharpe_ratio', 'win_rate', 'max_drawdown', 'test_accuracy']
> **Total duration**: 36.29s
> **Total accepted**: 0
> **Total rejected**: 1

## Iterations 詳情

### Iteration 1
- DSL: `trend_atr = (close - ta.sma(close, 20)) / (ta.atr(high, low, close, 14) + 1e-10)
result = trend_atr * (volume / (ta.sma(volume, 20) + 1e-10))` (feature=k_iter1_k_trend_atr_volratio)
- DSL valid: False
- FeatureSet candidate id: None
- baseline PF: 0.000 → modified PF: 0.000
- t_stat: 0.000, p_value: 1.000, cohens_d: 0.000
- scalar_score: 0.0000
- accepted: False, reason: translator_verify: 3 輪修復仍未通過 — max_diff=0.006539 (tol=0.001), nan_mismatch=0

📊 Multi-Objective Metrics

Iteration 1: k_iter1_k_trend_atr_volratio

Y Label: C8 | Parent FS: #1748

Objective mode: single

Scalar score: 0.0000

📁 Offline Report

Markdown backup: reports/autoloop/zz_sylvain/20261003_154528.md