Python for Algorithmic Trading Cookbook
Recipes for designing, building, and deploying algorithmic trading strategies with Python
Created by Jason Strimpel
Learn how to design, test, and deploy algorithmic trading strategies using Python. Get hands-on with real market data, build your own research environment, and automate trades in a live setting. Gain practical experience with professional tools and techniques used by industry experts.
Packt | Aug 2024 | 406 min
What You Will Learn
You'll work through practical Python code examples to gather and analyze market data, engineer trading signals, and optimize strategies. By applying statistical and machine learning methods, you'll learn to manage risk and improve performance. Step by step, you'll build and test strategies, then automate them for live trading.
Key Features
- Acquire, visualize, and store market data for research using Python tools
- Design and backtest trading strategies with professional evaluation methods
- Deploy automated trading strategies in a live environment using API connections
Target Audience
Perfect for traders, investors, and Python developers with some experience in the stock market and Python basics. If you're looking to move beyond manual trading and want to automate your strategies, you'll find actionable skills here. Ideal for those ready to use Python to gain a systematic edge in the markets.
