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

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/folder... Good luck Guys! Enjoy coding in Python :)