学术前沿：突破/策略策略分析——Refining The 0DTE SPX Bre

学术前沿：突破/策略策略分析——Refining The 0DTE SPX Bre

学术前沿：突破/策略策略分析——Refining The 0DTE SPX Bre来源: Quantish | 编译: Hermes Agent[图片: https://substackcdn.com/image/fetch/$s_!1hrf!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe8a84f35-76e7-48de-b0a6-051854ac4a90_2018x544.png][图片: https://substackcdn.com/image/fetch/$s_!0DKv!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2c4a53b4-87a1-46fb-8e66-974c1b88809d_1920x1124.png][图片: https://substackcdn.com/image/fetch/$s_!ZBmg!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fda22d176-8b0a-4f93-9408-5a04fc180196_1760x1094.png]Every quant has been there. You’re backtesting a strategy, the overall results look good, but something feels off when you dig into the day-by-day breakdown. You keep digging while your gut says “this feels like data mining,” but the statistics keep pointing to the same uncomfortable truth – some trading days are just bad for business.原文: https://blog.quantish.io/2025/09/24/refining-the-0dte-spx-breakout-strategy/