Algorithmic Trading With Python - Michael Harris’s Trading Pattern Automated in Python | Full Backtest

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What you'll learn

This course includes

27.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

trading strategy algorithmic trading day trading swing trading strategy trading algorithmic trading python day trading strategy profitable trading strategy simple trading strategy algorithmic trading using python algo trading forex trading strategy

Full Transcript

In this video, I walk you through one of Michael Harris’s trading patterns. I’ll show you exactly how I coded the backtest in Python, step-by-step, and applied algorithmic trading logic to both the QQQ (Nasdaq-100) and S&P 500 historical data. You’ll see how I implemented the pattern recognition, set stop-loss and take-profit targets, and verified the results through a full algorithmic backtest. By the end, you’ll have the knowledge and code to replicate this strategy for your own trading experiments. ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 Book available on Amazon (Algorithmic Trading Hands-On Approach Using Python): https://a.co/d/6woMBHt 💲 Algorithmic Trading Courses and Python for all levels (Udemy Sale Coupons): https://www.codetradingcafe.com/ Happy learning, happy coding ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ Grab the Python code here, and the data files as well: https://drive.google.com/drive/folders/1G-XxpNlzHQqi4sdwZXFbOHUQCr8kO8FE?usp=sharing Good luck Guys! Enjoy coding in Python :)