Feature Iteration Run #1010: zz_sylvain
Status: completed | Started: 2026-07-26 11:41:27 | Ended: 2026-07-26 11:47:33
⭐ Best Accepted Iteration
Iteration 9: k_high.pct_change(12) * (1 - price_position) * (1 + hl_rang…
baseline PF: 1.947 → modified PF: 2.466 | Cohen's d: 0.388 | p-value: 0.012
📊 Iterations
| Iter | Y Label | Model | Warm | Proxy | Parent FS | Feature | Baseline PF | Modified PF | Scalar Score | Result |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | C8 |
gradient_boosting |
— | — | #7 | k_iter1_k_momentum_pct_chang_price_position_atr_norm | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 2 | C8 |
gradient_boosting |
— | — | #7 | k_iter2_k_high_pct_change_price_position_atr_norm | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 3 | C8 |
gradient_boosting |
— | — | #7 | k_iter3_k_high_pct_change_12_price_position_atr_norm | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 4 | C8 |
gradient_boosting |
— | — | #7 | k_iter4_k_high_pct_change_hl_range_price_position | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 5 | C8 |
gradient_boosting |
— | — | #7 | k_iter5_k_momentum_pct_chang_price_position_i_atr_k_high | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 6 | C8 |
gradient_boosting |
— | — | #7 | k_iter6_k_momentum_pct_chang_price_position_i_rsi_k_close | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 7 | C8 |
gradient_boosting |
— | — | #7 | k_loop_iter_7_ef5c80 | 1.947 | 1.138 | -0.4196 | ❌ REJECT |
| 8 | C8 |
gradient_boosting |
— | — | #7 | k_iter8_pct_change_price_position_return_5_atr_norm | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 9 | C8 |
gradient_boosting |
— | — | #7 | k_loop_iter_9_156336 | 1.947 | 2.466 | 1.4881 | ✅ ACCEPT |
| 10 | C8 |
gradient_boosting |
— | — | #1327 | k_iter10_k_high_pct_change_price_position_hl_range | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 11 | C8 |
gradient_boosting |
— | — | #1327 | k_loop_iter_11_198654 | 2.466 | 1.110 | -4.5400 | ❌ REJECT |
| 12 | C8 |
gradient_boosting |
— | — | #1327 | k_iter12_k_high_pct_change_price_position_hl_range | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
| 13 | C8 |
gradient_boosting |
— | — | #1327 | k_loop_iter_13_7a3248 | 2.466 | 1.512 | -3.7887 | ❌ REJECT |
| 14 | C8 |
gradient_boosting |
— | — | #1327 | k_loop_iter_14_976ee7 | 2.466 | 1.108 | -6.2495 | ❌ REJECT |
| 15 | C8 |
gradient_boosting |
— | — | #1327 | k_iter15_pct_change_price_position_hl_range_atr_norm | 0.000 | 0.000 | 0.0000 | ❌ REJECT |
📄 Report Markdown
# AUTOLOOP: zz_sylvain (15 iterations)
> **Phase**: Y4.7 Option B (DSL → Python code → FeatureSet candidate)
> **Target indicator**: zz_sylvain
> **Base feature_set_id**: 1327
> **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**: 365.69s
> **Total accepted**: 1
> **Total rejected**: 14
## Iterations 詳情
### Iteration 1
- DSL: `(k_momentum_pct_change - o_div_amplitude_12) * (1 - price_position) / (1 + atr_norm)` (feature=k_iter1_k_momentum_pct_chang_price_position_atr_norm)
- 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: quality_gate: canonical duplicate: (k_momentum_pct_change - o_div_amplitude_12) * (1 - price_position) / (1 + atr_norm)
### Iteration 2
- DSL: `k_high.pct_change(12) * (1 - price_position) / (1 + atr_norm) * (1 - dist_to_high)` (feature=k_iter2_k_high_pct_change_price_position_atr_norm)
- 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: quality_gate: C8 leakage: ['dist_to_high']
### Iteration 3
- DSL: `k_high_pct_change_12 * (1 - price_position) * obv_ensemble_3 / (1 + atr_norm)` (feature=k_iter3_k_high_pct_change_12_price_position_atr_norm)
- 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: k_high_pct_change_12
### Iteration 4
- DSL: `k_high.pct_change(12) * (1 + hl_range) * (1 - price_position) / (1 + atr_norm) * (1 - dist_to_low)` (feature=k_iter4_k_high_pct_change_hl_range_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: quality_gate: C8 leakage: ['dist_to_low']
### Iteration 5
- DSL: `(k_momentum_pct_change - o_div_amplitude(12)) * (1 - price_position) / (1 + i_atr(k_high, k_low, k_close, 14) / k_close)` (feature=k_iter5_k_momentum_pct_chang_price_position_i_atr_k_high)
- 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: DSL hallucinated function call: Call(func=Name(id='o_div_amplitude', ctx=Load()), args=[Constant(value=12)], keywords=[]) — 'Series' object is not callable
### Iteration 6
- DSL: `k_momentum_pct_change * (1 - price_position) * (i_rsi(k_close, 14) - 50) / 100 / (1 + atr_norm)` (feature=k_iter6_k_momentum_pct_chang_price_position_i_rsi_k_close)
- 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: quality_gate: NaN ratio 1.000 exceeds 0.3
### Iteration 7
- DSL: `k_momentum_pct_change * (1 - price_position) * vol_ratio / (1 + i_atr(k_high, k_low, k_close, 14) / k_close)` (feature=k_loop_iter_7_ef5c80)
- DSL valid: True
- FeatureSet candidate id: 1326
- baseline PF: 1.947 → modified PF: 1.138
- t_stat: 0.000, p_value: 0.512, cohens_d: 0.261
- scalar_score: -0.4196
- accepted: False, reason: scalar_score -0.4196 <= 0.0, sharpe_delta -14.6732 < -0.3, hypothesis test not confirmed
**Metrics summary:**
- profit_factor: baseline=1.947, modified=1.138, diff=-0.810
- sharpe_ratio: baseline=19.162, modified=4.489, diff=-14.673
- win_rate: baseline=0.600, modified=0.466, diff=-0.134
- max_drawdown: baseline=0.056, modified=0.166, diff=0.110
- test_accuracy: baseline=0.992, modified=0.981, diff=-0.012
### Iteration 8
- DSL: `obv_rebased.pct_change(12) * (1 - price_position) * (1 - return_5) / (1 + atr_norm * 10)` (feature=k_iter8_pct_change_price_position_return_5_atr_norm)
- 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 produced inf values; likely division by zero
### Iteration 9
- DSL: `k_high.pct_change(12) * (1 - price_position) * (1 + hl_range) / (1 + atr_norm)` (feature=k_loop_iter_9_156336)
- DSL valid: True
- FeatureSet candidate id: 1327
- baseline PF: 1.947 → modified PF: 2.466
- t_stat: 0.000, p_value: 0.012, cohens_d: 0.388
- scalar_score: 1.4881
- accepted: True, reason: accepted
**Metrics summary:**
- profit_factor: baseline=1.947, modified=2.466, diff=0.519
- sharpe_ratio: baseline=19.162, modified=24.727, diff=5.565
- win_rate: baseline=0.600, modified=0.636, diff=0.036
- max_drawdown: baseline=0.056, modified=0.050, diff=-0.006
- test_accuracy: baseline=0.992, modified=0.992, diff=-0.000
### Iteration 10
- DSL: `k_high.pct_change(12) * (1 - price_position) * (1 + hl_range) * (i_rsi(k_close, 14) - 50) / (50 * (1 + atr_norm))` (feature=k_iter10_k_high_pct_change_price_position_hl_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: quality_gate: NaN ratio 1.000 exceeds 0.3
### Iteration 11
- DSL: `o_pct_change_12 * (1 - price_position) * (1 + hl_range) / (1 + atr_norm)` (feature=k_loop_iter_11_198654)
- DSL valid: True
- FeatureSet candidate id: 1328
- baseline PF: 2.466 → modified PF: 1.110
- t_stat: 0.000, p_value: 0.142, cohens_d: 0.676
- scalar_score: -4.5400
- accepted: False, reason: scalar_score -4.5400 <= 0.0, sharpe_delta -21.7399 < -0.3, hypothesis test not confirmed
**Metrics summary:**
- profit_factor: baseline=2.466, modified=1.110, diff=-1.356
- sharpe_ratio: baseline=24.727, modified=2.987, diff=-21.740
- win_rate: baseline=0.636, modified=0.513, diff=-0.124
- max_drawdown: baseline=0.050, modified=0.161, diff=0.111
- test_accuracy: baseline=0.992, modified=0.992, diff=0.000
### Iteration 12
- DSL: `k_high.pct_change(12) * (1 - price_position) * (1 + hl_range) / (1 + i_atr(k_high, k_low, k_close, 14) / k_close) * (1 + i_rsi(k_close, 14) / 100)` (feature=k_iter12_k_high_pct_change_price_position_hl_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: quality_gate: NaN ratio 1.000 exceeds 0.3
### Iteration 13
- DSL: `k_high.pct_change(12) * (1 - price_position) * (1 + hl_range) / (1 + atr_norm) * (1 - return_20)` (feature=k_loop_iter_13_7a3248)
- DSL valid: True
- FeatureSet candidate id: 1329
- baseline PF: 2.466 → modified PF: 1.512
- t_stat: 0.000, p_value: 0.001, cohens_d: 0.646
- scalar_score: -3.7887
- accepted: False, reason: scalar_score -3.7887 <= 0.0, sharpe_delta -13.0368 < -0.3, hypothesis test not confirmed
**Metrics summary:**
- profit_factor: baseline=2.466, modified=1.512, diff=-0.954
- sharpe_ratio: baseline=24.727, modified=11.690, diff=-13.037
- win_rate: baseline=0.636, modified=0.538, diff=-0.098
- max_drawdown: baseline=0.050, modified=0.135, diff=0.085
- test_accuracy: baseline=0.992, modified=0.992, diff=-0.000
### Iteration 14
- DSL: `k_high.pct_change(12) * (1 - price_position) * (1 + hl_range) / (1 + atr_norm) * (1 + i_ema(k_close, 20) / k_close - 1)` (feature=k_loop_iter_14_976ee7)
- DSL valid: True
- FeatureSet candidate id: 1330
- baseline PF: 2.466 → modified PF: 1.108
- t_stat: 0.000, p_value: 0.012, cohens_d: 0.754
- scalar_score: -6.2495
- accepted: False, reason: scalar_score -6.2495 <= 0.0, sharpe_delta -21.8677 < -0.3, hypothesis test not confirmed
**Metrics summary:**
- profit_factor: baseline=2.466, modified=1.108, diff=-1.358
- sharpe_ratio: baseline=24.727, modified=2.860, diff=-21.868
- win_rate: baseline=0.636, modified=0.543, diff=-0.093
- max_drawdown: baseline=0.050, modified=0.139, diff=0.089
- test_accuracy: baseline=0.992, modified=0.986, diff=-0.006
### Iteration 15
- DSL: `obv_rebased.pct_change * (1 - price_position) * (1 + hl_range) / (1 + atr_norm)` (feature=k_iter15_pct_change_price_position_hl_range_atr_norm)
- 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 triggered unexpected TypeError: unsupported operand type(s) for *: 'method' and 'float'
📊 Multi-Objective Metrics
Iteration 1: k_iter1_k_momentum_pct_chang_price_position_atr_norm
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 2: k_iter2_k_high_pct_change_price_position_atr_norm
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 3: k_iter3_k_high_pct_change_12_price_position_atr_norm
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 4: k_iter4_k_high_pct_change_hl_range_price_position
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 5: k_iter5_k_momentum_pct_chang_price_position_i_atr_k_high
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 6: k_iter6_k_momentum_pct_chang_price_position_i_rsi_k_close
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 7: k_loop_iter_7_ef5c80
Y Label: C8 | Parent FS: #7
Objective mode: scalarize
Scalar score: -0.4196
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.600 | 0.466 | -0.134 |
| max_drawdown | 0.056 | 0.166 | 0.110 |
| sharpe_ratio | 19.162 | 4.489 | -14.673 |
| profit_factor | 1.947 | 1.138 | -0.810 |
| test_accuracy | 0.992 | 0.981 | -0.012 |
Iteration 8: k_iter8_pct_change_price_position_return_5_atr_norm
Y Label: C8 | Parent FS: #7
Objective mode: single
Scalar score: 0.0000
Iteration 9: k_loop_iter_9_156336
Y Label: C8 | Parent FS: #7
Objective mode: scalarize
Scalar score: 1.4881
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.600 | 0.636 | 0.036 |
| max_drawdown | 0.056 | 0.050 | -0.006 |
| sharpe_ratio | 19.162 | 24.727 | 5.565 |
| profit_factor | 1.947 | 2.466 | 0.519 |
| test_accuracy | 0.992 | 0.992 | 0.000 |
Iteration 10: k_iter10_k_high_pct_change_price_position_hl_range
Y Label: C8 | Parent FS: #1327
Objective mode: single
Scalar score: 0.0000
Iteration 11: k_loop_iter_11_198654
Y Label: C8 | Parent FS: #1327
Objective mode: scalarize
Scalar score: -4.5400
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.636 | 0.513 | -0.124 |
| max_drawdown | 0.050 | 0.161 | 0.111 |
| sharpe_ratio | 24.727 | 2.987 | -21.740 |
| profit_factor | 2.466 | 1.110 | -1.356 |
| test_accuracy | 0.992 | 0.992 | 0.000 |
Iteration 12: k_iter12_k_high_pct_change_price_position_hl_range
Y Label: C8 | Parent FS: #1327
Objective mode: single
Scalar score: 0.0000
Iteration 13: k_loop_iter_13_7a3248
Y Label: C8 | Parent FS: #1327
Objective mode: scalarize
Scalar score: -3.7887
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.636 | 0.538 | -0.098 |
| max_drawdown | 0.050 | 0.135 | 0.085 |
| sharpe_ratio | 24.727 | 11.690 | -13.037 |
| profit_factor | 2.466 | 1.512 | -0.954 |
| test_accuracy | 0.992 | 0.992 | 0.000 |
Iteration 14: k_loop_iter_14_976ee7
Y Label: C8 | Parent FS: #1327
Objective mode: scalarize
Scalar score: -6.2495
| Metric | Baseline | Modified | Diff |
|---|---|---|---|
| win_rate | 0.636 | 0.543 | -0.093 |
| max_drawdown | 0.050 | 0.139 | 0.089 |
| sharpe_ratio | 24.727 | 2.860 | -21.868 |
| profit_factor | 2.466 | 1.108 | -1.358 |
| test_accuracy | 0.992 | 0.986 | -0.006 |
Iteration 15: k_iter15_pct_change_price_position_hl_range_atr_norm
Y Label: C8 | Parent FS: #1327
Objective mode: single
Scalar score: 0.0000
📁 Offline Report
Markdown backup: reports/autoloop/zz_sylvain/20260726_194733.md