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A comprehensive guide on backtesting a price breakout strategy using Python and maximizing profits through dynamic trade management. We'll explore different approaches that can boost your profits from 10% to almost 100%. We'll be applying our strategy to both manual and algorithmic trading. Even if you're not into algorithmic trading, you can still utilize the insights from our backtest for your manual trading strategies. In this video, we'll revisit an indicator presented in a previous video, looking for key support or resistance levels where the price has bounced three times before breaking through. We'll use the moving average to determine the trend direction. We'll also discuss various trade management rules, including stop loss (SL) and target profit (TP) conditions. We'll explore a dynamic approach using the Relative Strength Index (RSI) and a method that uses a stop loss value as a percentage of the price value. ╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦ 📘 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 ☕ ╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩ 🔥Download the Python notebook used in this video from the link below. https://drive.google.com/file/d/1MndKFY-dRCaMdJF6-06yFN1mLmzNieZi/view?usp=sharing The Data file in case needed: https://drive.google.com/file/d/17fPDxJcErhdhVTTuSsR_pm-lIjDZsERD/view?usp=sharing Remember, the goal here is to highlight the power of trade management while backtesting our breakout indicator. You can apply these results to your manual or algorithmic trading. #python #backtesting #technicalanalysis BreakoutStrategy #trademanagement #algorithmictrading #breakouttrading #rsi
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