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针对使用 gplearn/DEAP 等遗传编程自动生成的 Alpha 因子代码，构建自动化的代码-逻辑一致性审查系统。解决量化团队的核心痛点：遗传算法生成的符号公式（如 ts_corr(volume, close, 10) / ts_std(high, 20)）经常出现逻辑冗余、未来函数泄露或数据透视偏差（look-ahead bias），但人工审查高维生成的代码极难发现。
AI for Social Good
