参数优化

Lesson Overview

In "MQL5 EA Programming Intro" → "回测与优化", this lesson "参数优化" builds knowledge you can apply immediately.

参数优化只是在既定模型下搜索，不能自动发现稳健优势。只读EA的参数可比较信号频率，但没有交易执行时不能计算真实策略收益。 记录参数网格与试验数→只在训练区选择→核邻域→冻结→未来区检查→标指标是信号还是成交。 本课作业：若对20组均线只统计日志上穿次数，能否挑最多的一组称最佳盈利参数？

Core Concepts

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

• ▸参数优化只是在既定模型下搜索，不能自动发现稳健优势。只读EA的参数可比较信号频率，但没有交易执行时不能计算真实策略收益。
• ▸记录参数网格与试验数→只在训练区选择→核邻域→冻结→未来区检查→标指标是信号还是成交。
• ▸本课作业：若对20组均线只统计日志上穿次数，能否挑最多的一组称最佳盈利参数？

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 "回测与优化"—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 参数优化 on your own.