Backtrader Architecture

Lesson Overview

In "Python Quant Trading Lab" → "Backtrader Strategy Development", this lesson "Backtrader Architecture" builds knowledge you can apply immediately.

Understand Cerebro, Strategy, Indicator, Broker. Code SMA crossover: fast=10, slow=30 with commission and slippage.

Core Concepts

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

• ▸Understand Cerebro, Strategy, Indicator, Broker.
• ▸Code SMA crossover: fast=10, slow=30 with commission and slippage.

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 "Backtrader Strategy Development"—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 Backtrader Architecture on your own.