QuantRocket - Data-Driven Trading with Python.
Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies: Pik, Jiri, Ghosh, Sourav: 9781838982881: Amazon.com: Books.
Algorithmic Trading Using Python - Full Course
Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Computer algorithms can make trades at a speed and frequency that is not possible by a human.
After learning the basics of algorithmic trading, you will learn how to build three algorithmic trading projects.
💻 Code: https://github.com/nickmccullum/algorithmic-trading-python
✏️ Course developed by Nick McCullum. Learn more about Nick here: https://nickmccullum.com/
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Algorithmic Trading Fundamentals & API Basics
⌨️ (0:17:20) Building An Equal-Weight S&P 500 Index Fund
⌨️ (1:38:44) Building A Quantitative Momentum Investing Strategy
⌨️ (2:54:02) Building A Quantitative Value Investing Strategy
Note that this course is meant for educational purposes only. The data and information presented in this video is not investment advice. One benefit of this course is that you get access to unlimited scrambled test data (rather than live production data), so that you can experiment as much as you want without risking any money or paying any fees.
This course is original content created by freeCodeCamp. This content was created using data and a grant provided by IEX Cloud. You can learn more about IEX Cloud here: https://iexcloud.io/
Any opinions or assertions contained herein do not represent the opinions or beliefs of IEX Cloud, its third-party data providers, or any of its affiliates or employees.