How I Achieved a 74% Profit Using Michael Harris’s Trading Pattern in Python | Full Backtest

In this video, I walk you through how I achieved a 74% profit using 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):
a.co/d/6woMBHt

Discount Vouchers for my Algorithmic Trading and Python courses:
💲 Algorithmic Trading: bit.ly/CouponAlgorithmicTrading
💲 Data Analysis with Numpy and Pandas: bit.ly/CouponDataAnalysis
💲 Machine Learning Methods In Algorithmic Trading: bit.ly/CouponMachineLearningTrading
💲 Python Beginner Course With Solved Exercises: bit.ly/CouponPythonBasics
💲 Object Oriented Programming in Python: bit.ly/CouponOOP

Grab the Python code here, and the data files as well:
drive.google.com/drive/folders/1G-XxpNlzHQqi4sdwZX…

Good luck Guys! Enjoy coding in Pyt