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Feature Iteration Run #1691: zz_sylvain

Status: completed | Started: 2026-10-01 18:42:34 | Ended: 2026-10-01 18:51:28

📊 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 C8 gradient_boosting — — #7 ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT propose A1: LLM 呼叫失敗 (All LLM models failed. Tried: ['ollama/Qwen3.8-27B-Instruct', 'csdn/deepseek-v4-flash', 'kimi/kimi-for-coding', 'ollama/Qwen3.8-27B-Instruct', 'minimax/MiniMax-M2.7']) — reject 該輪（不靜默落 stub）
2 C8 gradient_boosting — — #7 ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT propose A1: LLM 呼叫失敗 (All LLM models failed. Tried: ['ollama/Qwen3.8-27B-Instruct', 'csdn/deepseek-v4-flash', 'kimi/kimi-for-coding', 'ollama/Qwen3.8-27B-Instruct', 'minimax/MiniMax-M2.7']) — reject 該輪（不靜默落 stub）
3 C8 gradient_boosting — — #7 ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT propose A1: LLM 呼叫失敗 (All LLM models failed. Tried: ['ollama/Qwen3.8-27B-Instruct', 'csdn/deepseek-v4-flash', 'kimi/kimi-for-coding', 'ollama/Qwen3.8-27B-Instruct', 'minimax/MiniMax-M2.7']) — reject 該輪（不靜默落 stub）
4 C8 gradient_boosting — — #7 k_iter4_k_high_mom_atr_rsi_ppos ((high - high[12]) / high[12]) / (1 + t… ❌ 0.000 0.000 0.0000 0.000 1.000 0.000 ❌ REJECT safe_eval DSL: 求值失敗: '((high - high[12]) / high[12]) / (1 + ta.atr(high,low,close,5) / close) * (1 - ((high - low) != 0 ? (close - low) / (high - low) : 0.5)) * (1 - ta.rsi(close,14) / 100)' → ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

📊 Multi-Objective Metrics

Iteration 1:

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

Iteration 2:

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

Iteration 3:

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

Iteration 4: k_iter4_k_high_mom_atr_rsi_ppos

Y Label: C8 | Parent FS: #7

Objective mode: single

Scalar score: 0.0000

📁 Offline Report

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