Algorithmic Trading With Python - I Tried a Simple Break-Out Indicator in Python - The Results Are In

How I Used Python to Backtest a simple Break-Out Indicator. In this video, I explore a simple break-out trading indicator from Robert Carver's books that's designed to catch early market breakouts. I'll show you how to implement this indicator using Python, calculating the rolling maximum and minimum over the last N days to find the rolling average. We'll then derive the scaled price indicator—which ranges between +0.5 and -0.5—to detect potential trend changes. I also code a straightforward trading strategy in Python to backtest the effectiveness of this indicator, including spread commission fees for realistic results. Using daily gold prices as our dataset, we'll analyze how well this indicator performs and discuss its potential as a tool for traders. If you're interested in backtesting, quantitative trading, Python coding, or simply want to see the results of this break-out indicator, this video is for you! ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 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 python code download link: https://drive.google.com/file/d/114qvNln1grk1YmHYnXYn0kIHTV0tZcz-/view?usp=sharing ...and the XAUUSD data file: https://drive.google.com/file/d/1BrDThddxbz38dmuPjZz7pCU87wfBZwUr/view?usp=sharing #algorithmictradingpython #trading #backtest #algotrading #algorithmictradingstrategies