回测偏差防范

Lesson Overview

In "Backtest & Live Deployment" → "回测框架", this lesson "回测偏差防范" builds knowledge you can apply immediately.

回测偏差包括未来信息、幸存者、样本选择、数据修订和不现实撮合。只有价格曲线与最终收益无法排除这些问题。 列数据版本→核可用时间→检查特征/标签隔离→验证收盘信号后执行→保留费用/失败订单。 本课作业：以当日收盘决定买入并假设按同一收盘价无延迟成交，指出偏差及可复现实验替代。

Core Concepts

These points align with the video walkthrough—take notes as you watch.

• ▸回测偏差包括未来信息、幸存者、样本选择、数据修订和不现实撮合。只有价格曲线与最终收益无法排除这些问题。
• ▸列数据版本→核可用时间→检查特征/标签隔离→验证收盘信号后执行→保留费用/失败订单。
• ▸本课作业：以当日收盘决定买入并假设按同一收盘价无延迟成交，指出偏差及可复现实验替代。

Practical Application

After studying, complete the companion practice lesson to move from understanding to doing.

• ▸Follow along in Jupyter or VS Code
• ▸Log how parameter changes affect backtest results
• ▸Submit a reproducible analysis notebook

FAQ

• ▸Q: How does this lesson fit the course? A: Part of "回测框架"—follow the curriculum order.
• ▸Q: What do I need? A: Demo account and notes; quant lessons need a Python environment.
• ▸Q: How do I know I've mastered it? A: Pass the quiz and explain three key points of 回测偏差防范 on your own.