Feature Iteration Run #1350: zz_sylvain

# 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**: 7.06s
> **Total accepted**: 0
> **Total rejected**: 1

## Iterations 詳情

### Iteration 1
- DSL: `// Compute ATR normalized by close (volatility regime), then amplify by (1 + intraday range %)
// Captures: how wide today's bar is relative to recent true-range volatility
tr_val = ta.tr(true)
atr_val = ta.rma(tr_val, 14)
atr_norm = atr_val / close
hl_range_val = (high - low) / close
result = atr_norm * (1 + hl_range_val)
result` (feature=k_iter1_k_vol_atr_amplified_range)
- 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: safe_eval DSL: 非原生呼叫 ['by', 'close'] (只准 Pine 原生函數, 對齊 _check_fd_align A10)