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Feature Iteration Run #367: zz_sylvain

Status: completed | Started: 2026-07-16 15:35:35 | Ended: 2026-07-16 15:35:36

📊 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_iter_1_k_open k_open.pct_change(8) - k_close.pct_chan… ✅ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT persist_to_db failed: 'DSLFeaturePromptBuilder' object has no attribute 'persist_to_db'

📄 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) 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**: 1.59s
> **Total accepted**: 0
> **Total rejected**: 1

## Iterations 詳情

### Iteration 1
- DSL: `k_open.pct_change(8) - k_close.pct_change(8)` (feature=k_iter_1_k_open)
- DSL valid: True
- 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: persist_to_db failed: 'DSLFeaturePromptBuilder' object has no attribute 'persist_to_db'

📊 Multi-Objective Metrics

Iteration 1: k_iter_1_k_open

Y Label: — | Parent FS: #—

Objective mode: single

Scalar score: 0.0000

📁 Offline Report

Markdown backup: reports/autoloop/zz_sylvain/20260716_233536.md