Feature Iteration Run #710: zz_sylvain
Status: completed | Started: 2026-07-18 13:34:52 | Ended: 2026-07-18 13:36:53
⭐ Best Accepted Iteration
Iteration 1: k_high.pct_change(12) * i_macd(k_close, 12, 26, 9) / (1 + a…
baseline PF: 1.286 → modified PF: 1.461 | Cohen's d: 0.000 | p-value: 1.000
📊 Iterations
| Iter | Y Label | Model | Warm | Proxy | Parent FS | Feature | Baseline PF | Modified PF | Scalar Score | Result |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_1_17703b | 1.286 | 1.461 | 1.0286 | ✅ ACCEPT |
| 2 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_2_301c87 | 1.286 | 2.113 | 3.7086 | ✅ ACCEPT |
| 3 | — |
gradient_boosting |
— | — | #7 | k_loop_iter_3_4e9c71 | 1.286 | 1.286 | 0.0000 | ❌ REJECT |
📄 Report Markdown
# AUTOLOOP: zz_sylvain (3 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**: 120.92s
> **Total accepted**: 2
> **Total rejected**: 1
## Iterations 詳情
### Iteration 1
- DSL: `k_high.pct_change(12) * i_macd(k_close, 12, 26, 9) / (1 + atr_norm)` (feature=k_loop_iter_1_17703b)
- DSL valid: True
- FeatureSet candidate id: 913
- baseline PF: 1.286 → modified PF: 1.461
- t_stat: 0.000, p_value: 1.000, cohens_d: 0.000
- scalar_score: 1.0286
- accepted: True, reason: accepted
**Metrics summary:**
- profit_factor: baseline=1.286, modified=1.461, diff=0.175
- sharpe_ratio: baseline=7.879, modified=11.792, diff=3.912
- win_rate: baseline=0.553, modified=0.560, diff=0.007
- max_drawdown: baseline=0.075, modified=0.051, diff=-0.023
- test_accuracy: baseline=0.986, modified=0.987, diff=0.001
### Iteration 2
- DSL: `k_high.pct_change(12) / (1 + atr_norm) * (1 - price_position) * (1 - dist_to_high)` (feature=k_loop_iter_2_301c87)
- DSL valid: True
- FeatureSet candidate id: 914
- baseline PF: 1.286 → modified PF: 2.113
- t_stat: 0.000, p_value: 1.000, cohens_d: 0.000
- scalar_score: 3.7086
- 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: `k_high.pct_change(12) / (1 + atr_norm) * (1 - price_position) * (1 - dist_to_high) * vol_ratio` (feature=k_loop_iter_3_4e9c71)
- DSL valid: True
- FeatureSet candidate id: 915
- baseline PF: 1.286 → modified PF: 1.286
- t_stat: 0.000, p_value: 1.000, cohens_d: 0.000
- scalar_score: 0.0000
- accepted: False, reason: p=1.000 ≥ 0.05, cohens_d=0.000 ≤ 0.3
**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
📊 Multi-Objective Metrics
Iteration 1: k_loop_iter_1_17703b
Y Label: — | Parent FS: #7
Objective mode: scalarize
Scalar score: 1.0286
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.553 | 0.560 | 0.007 |
| max_drawdown | 0.075 | 0.051 | -0.023 |
| sharpe_ratio | 7.879 | 11.792 | 3.912 |
| profit_factor | 1.286 | 1.461 | 0.175 |
| test_accuracy | 0.986 | 0.987 | 0.001 |
Iteration 2: k_loop_iter_2_301c87
Y Label: — | Parent FS: #7
Objective mode: scalarize
Scalar score: 3.7086
| 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_4e9c71
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 |
📁 Offline Report
Markdown backup: reports/autoloop/zz_sylvain/20260718_213653.md