# GPT Pro 问题清单(2026-04-10)
chinext50_recalibrate_guidance_for_codex_2026-04-09.md 顺序落地:
backtest/frozen_walkforward.py(候选评分、硬约束、frontier fallback、违规距离诊断)config/regime.yaml(candidate_selection 默认参数 + window success 配置)pipelines/real_walkforward_report.py(报告语义改为 stitched frozen OOS 主比较)default_strategy_full_sample_metricsstitched_frozen_oos_metricsbaseline_full_sample_metricscomparison.stitched_oos_vs_baselinecomparison.default_vs_baselineannual_return_deltaannual_return_delta_vs_baselinemax_drawdown_deltamax_drawdown_delta_vs_baselinedrawdown_ratio_vs_baselineutility_delta_vs_baselineprimary_window_count / partial_window_countprimary_window_success_ratio / partial_window_success_ratiowindow_success_rulestitched_frozen_oos_ledger.csvpy -m pytest -q tests/test_frozen_walkforward.py tests/test_real_walkforward_report_pipeline.py
11 passedpy -m pytest -q tests
81 passedoutputs/real_walkforward_recalibrated_20260409_v2/real_walkforward_summary.jsonannual_return_delta = -0.079631drawdown_ratio_vs_baseline = 0.481396utility_delta_vs_baseline = -0.134472upside_capture = 0.284889hard_pass_window_ratio = 0.8selection_mode_distribution = {'constraint_score': 4, 'utility_fallback_no_hard_pass': 1}outputs/real_walkforward_recalibrated_20260410_semantic_v1/real_walkforward_summary.jsoncomparison.stitched_oos_vs_baseline.annual_return_delta = -0.095134comparison.stitched_oos_vs_baseline.drawdown_ratio_vs_baseline = 0.552714comparison.stitched_oos_vs_baseline.utility_delta_vs_baseline = -0.098477comparison.stitched_oos_vs_baseline.upside_capture = 0.340925comparison.default_vs_baseline.annual_return_delta = -0.079631frozen_walkforward.primary_window_success_ratio = 0.5frozen_walkforward.partial_window_success_ratio = 0.0frozen_walkforward.hard_pass_window_ratio = 0.6frozen_walkforward.selection_mode_distribution = {'constraint_score': 3, 'frontier_fallback_no_hard_pass': 2}backtest/utility.py(重标定 turnover 惩罚),还是先做 policy mapping(trend/chop/repair/euphoric_late)?primary_window_success_ratio=0.5 刚达最低门槛,但 hard_pass_window_ratio=0.6 偏低,建议优先调整哪些约束/权重使 hard-pass 比例恢复到 >=0.8,同时避免再次回到单一候选。