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Feature Iteration Run #153: zz_sylvain

Status: completed | Started: 2026-07-15 16:12:32 | Ended: 2026-07-15 15:06:41

📊 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 — gradient_boosting — — — K_loop_iter_1_563283 K_high.pct_change(12) ✅ 0.000 0.000 0.0000 -0.083 0.934 -0.022 ❌ REJECT p=0.934 ≥ 0.05, cohens_d=-0.022 ≤ 0.3

📄 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**: 7
> **Claim**: (default) Adding K_high_pct_change_12 improves Sharpe by 10%
> **Total duration**: 3.10s
> **Total accepted**: 0
> **Total rejected**: 1

## Iterations 詳情

### Iteration 1
- DSL: `K_high.pct_change(12)` (feature=K_loop_iter_1_563283)
- DSL valid: True
- FeatureSet candidate id: 41
- baseline PF: 0.000 → modified PF: 0.000
- t_stat: -0.083, p_value: 0.934, cohens_d: -0.022
- accepted: False, reason: p=0.934 ≥ 0.05, cohens_d=-0.022 ≤ 0.3

📊 Multi-Objective Metrics

Iteration 1: K_loop_iter_1_563283

Y Label: — | Parent FS: #—

Objective mode: single

Scalar score: 0.0000

📁 Offline Report

Markdown backup: reports/autoloop/zz_sylvain/20260715_230641.md