Feature Building Lab

Lesson Overview

In "Machine Learning for Trading" → "Feature Engineering", this lesson "Feature Building Lab" builds knowledge you can apply immediately.

Build 10 features + binary label (5-day forward return > 0). Output feature correlation matrix.

Core Concepts

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

• ▸Build 10 features + binary label (5-day forward return > 0).
• ▸Output feature correlation matrix.

Practical Application

After studying, complete the practice tasks below 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 "Feature Engineering"—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 Feature Building Lab on your own.