Metric Interpretation

Lesson Overview

In "Trading Data Analysis" → "Performance Metrics", this lesson "Metric Interpretation" builds knowledge you can apply immediately.

Sharpe > 1 acceptable; > 2 good. Max DD < 20% preferred retail. Profit factor < 1.2 signals weak edge.

Core Concepts

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

• ▸Sharpe > 1 acceptable; > 2 good.
• ▸Max DD < 20% preferred retail.
• ▸Profit factor < 1.2 signals weak edge.

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 "Performance Metrics"—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 Metric Interpretation on your own.