本期播客揭示了量化研究中的两大戏剧性冲突。首先是工具之困：当Aaron尝试用Alphalens验证UBL因子时遭遇挫折，因为这个行业标准工具无法处理月度因子数据。面对这一障碍，他开发了Moonshot库，专门解决月度因子回测问题。更引人深思的是认知之困：复现结果显示威廉下影线因子与传统经验相悖——下影线均值越小，后市上涨概率反而越高。这一反直觉发现挑战了"长下影线代表买气强"的传统观点，揭示了主观记忆与统计规律之间的鸿沟。UBL因子不仅成功复现了研报结论，实际表现甚至超越原研报。这背后隐藏着量化研究的深层思考：我们的交易直觉可能只记住了少数印象深刻的案例，而忽略了大量平凡却统计显著的数据点。这期播客不仅展示了从理论到实践的完整链条，更揭示了量化投资的核心魅力：用数据和逻辑验证直觉，发现隐藏在市场噪音中的真正规律。
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Trump $82 Million Bond Spree, Brazil Tariffs 'Too High,' More
16 Nov 2025
Bloomberg News Now
Ex-Fed Gov Resigned After Rules Violations, Trump Buys $82 Mil of Bonds, More
16 Nov 2025
Bloomberg News Now
THIS TRUMP INTERVIEW WAS INSANE!
16 Nov 2025
HasanAbi
Epstein Emails and Trump's Alleged Involvement
15 Nov 2025
Conspiracy Theories Exploring The Unseen
New Epstein Emails Directly Implicate Trump - H3 Show #211
15 Nov 2025
H3 Podcast
Trump Humiliates Himself on FOX as They Call Him Out
15 Nov 2025
IHIP News