Feature Iteration Run #832: zz_sylvain
Status: completed | Started: 2026-07-21 02:43:56 | Ended: 2026-07-21 02:46:18
⭐ Best Accepted Iteration
Iteration 2: k_high.pct_change(12) * (1 + hl_range) * (1 - dist_to_high)
baseline PF: 1.286 → modified PF: 2.113 | Cohen's d: 0.287 | p-value: 0.368
📊 Iterations
| Iter | Y Label | Model | Warm | Proxy | Parent FS | Feature | Baseline PF | Modified PF | Scalar Score | Result |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | — |
gradient_boosting |
— | — | #7 | k_iter1_k_momentum_pct_chang_atr_norm_price_position | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 2 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_3_3d40a1 | 1.286 | 2.113 | 1.0246 | ✅ ACCEPT |
| 3 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_3_3ca1fe | 1.286 | 1.286 | 0.0000 | ❌ REJECT |
| 4 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_2_4ec712 | 1.286 | 2.113 | 1.0246 | ✅ ACCEPT |
📄 Report Markdown
# AUTOLOOP: zz_sylvain (4 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**: 142.09s
> **Total accepted**: 2
> **Total rejected**: 2
## Iterations 詳情
### Iteration 1
- DSL: `k_momentum_pct_change - o_div_amplitude(12) * (1 + atr_norm) * (1 - price_position)` (feature=k_iter1_k_momentum_pct_chang_atr_norm_price_position)
- 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: 變數未定義: o_div_amplitude
### Iteration 2
- DSL: `k_high.pct_change(12) * (1 + hl_range) * (1 - dist_to_high)` (feature=k_loop_iter_3_3d40a1)
- DSL valid: True
- FeatureSet candidate id: 1147
- baseline PF: 1.286 → modified PF: 2.113
- t_stat: 0.000, p_value: 0.368, cohens_d: 0.287
- scalar_score: 1.0246
- accepted: True, reason: accepted
**Metrics summary:**
- profit_factor: baseline=1.286, modified=2.113, diff=0.827
- sharpe_ratio: baseline=7.879, modified=21.700, diff=13.821
- win_rate: baseline=0.553, modified=0.596, diff=0.043
- max_drawdown: baseline=0.075, modified=0.051, diff=-0.023
- test_accuracy: baseline=0.986, modified=0.986, diff=0.000
### Iteration 3
- DSL: `o_pct_change_12 / (1 + atr_norm) * (1 - price_position) * (1 - dist_to_high)` (feature=k_loop_iter_3_3ca1fe)
- DSL valid: True
- FeatureSet candidate id: 1148
- baseline PF: 1.286 → modified PF: 1.286
- t_stat: 0.000, p_value: 0.216, cohens_d: 0.272
- scalar_score: 0.0000
- accepted: False, reason: min_p=0.216 ≥ 0.05
**Metrics summary:**
- profit_factor: baseline=1.286, modified=1.286, diff=0.000
- sharpe_ratio: baseline=7.879, modified=7.879, diff=0.000
- win_rate: baseline=0.553, modified=0.553, diff=0.000
- max_drawdown: baseline=0.075, modified=0.075, diff=0.000
- test_accuracy: baseline=0.986, modified=0.986, diff=0.000
### Iteration 4
- DSL: `k_high.pct_change(12) / (1 + atr_norm) * (1 - price_position) * (1 - dist_to_high) * (1 + hl_range)` (feature=k_loop_iter_2_4ec712)
- DSL valid: True
- FeatureSet candidate id: 1149
- baseline PF: 1.286 → modified PF: 2.113
- t_stat: 0.000, p_value: 0.368, cohens_d: 0.287
- scalar_score: 1.0246
- accepted: True, reason: accepted
**Metrics summary:**
- profit_factor: baseline=1.286, modified=2.113, diff=0.827
- sharpe_ratio: baseline=7.879, modified=21.700, diff=13.821
- win_rate: baseline=0.553, modified=0.596, diff=0.043
- max_drawdown: baseline=0.075, modified=0.051, diff=-0.023
- test_accuracy: baseline=0.986, modified=0.986, diff=0.000
📊 Multi-Objective Metrics
Iteration 1: k_iter1_k_momentum_pct_chang_atr_norm_price_position
Y Label: — | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 2: k_loop_iter_3_3d40a1
Y Label: — | Parent FS: #7
Objective mode: scalarize
Scalar score: 1.0246
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.553 | 0.596 | 0.043 |
| max_drawdown | 0.075 | 0.051 | -0.023 |
| sharpe_ratio | 7.879 | 21.700 | 13.821 |
| profit_factor | 1.286 | 2.113 | 0.827 |
| test_accuracy | 0.986 | 0.986 | 0.000 |
Iteration 3: k_loop_iter_3_3ca1fe
Y Label: — | Parent FS: #7
Objective mode: scalarize
Scalar score: 0.0000
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.553 | 0.553 | 0.000 |
| max_drawdown | 0.075 | 0.075 | 0.000 |
| sharpe_ratio | 7.879 | 7.879 | 0.000 |
| profit_factor | 1.286 | 1.286 | 0.000 |
| test_accuracy | 0.986 | 0.986 | 0.000 |
Iteration 4: k_loop_iter_2_4ec712
Y Label: — | Parent FS: #7
Objective mode: scalarize
Scalar score: 1.0246
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.553 | 0.596 | 0.043 |
| max_drawdown | 0.075 | 0.051 | -0.023 |
| sharpe_ratio | 7.879 | 21.700 | 13.821 |
| profit_factor | 1.286 | 2.113 | 0.827 |
| test_accuracy | 0.986 | 0.986 | 0.000 |
📁 Offline Report
Markdown backup: reports/autoloop/zz_sylvain/20260721_104618.md