Algorithmic Trading With Python - Backtested Returns Using This Simple Candle Pattern Strategy

Discover a powerful yet simple candle pattern trading strategy that delivered an impressive positive return with a positive win rate in backtesting. In this video, we break down a strategy inspired by Michael Harris’s work, which has proven successful across various assets, including stocks like QQQ, the S&P 500, and the German DAX. You'll see how this strategy thrives in bullish markets like Apple, Microsoft, and DAX, but that's not all! To ensure robustness, I also tested it in the Forex market, allowing both long and short trades, and it still returned positive results. This candle pattern is easy to implement with Python, and I’ll walk you through the exact code and backtest setup. We focus on a specific set of conditions involving increasing lows and highs contained within consecutive candles. Don’t worry, I’ll make it simple for you to understand and code along. Want to try this strategy for yourself? Download the Python code from the link and apply it to any asset or market. Watch the entire video to see how the backtest performed and how you can customize the strategy to fit your trading style! ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 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 ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ The code and the data files: https://drive.google.com/drive/folders/1I0Wvon_bAZUqVrwLYawcHOYNhrVwYeDa?usp=sharing