结构化计划生成

Lesson Overview

In "AI-Powered Trading Decisions" → "AI 交易计划", this lesson "结构化计划生成" builds knowledge you can apply immediately.

结构化计划把AI文字拆成输入、触发、失效、规模和拒绝条件。模型缺信息时应输出待补充，而不是自动补风险比例或价格。 用schema列必填字段→给明确的假设值→要求注明未知→人工复算→不连接下单接口。 本课作业：输入缺账户币、点值与费用，AI却给出手数。写审核结论和待补字段。

Core Concepts

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

• ▸结构化计划把AI文字拆成输入、触发、失效、规模和拒绝条件。模型缺信息时应输出待补充，而不是自动补风险比例或价格。
• ▸用schema列必填字段→给明确的假设值→要求注明未知→人工复算→不连接下单接口。
• ▸本课作业：输入缺账户币、点值与费用，AI却给出手数。写审核结论和待补字段。

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 "AI 交易计划"—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 结构化计划生成 on your own.