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Automated Bollinger Bands Strategy Optimized For High Return
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Algorithmic Trading With Python - Automated Bollinger Bands Strategy Optimized For High Return

4.0 (1)
28 learners

What you'll learn

This course includes

  • 27.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

This video is a continuation of the previous 2 videos describing the Rayner Teo Bollinger Bands Strategy. Here we present an optimized version leading to high return for automated style trading using python. The parameters are explained in detail and their influence is shown on the trading system results. Automated trading can be carried out using similar approach and adding a money management system for less risk. Great exercise for algorithmic trading approaches, I hope you will like it, good luck! the previous 2 videos links: https://youtu.be/j9XdzsNvvSk https://youtu.be/wPOPRu8587s The python code link for this video: https://drive.google.com/file/d/17trdYOnI9GW715eDQxa6RUg1div6nY2h/view?usp=sharing The codes for the previous videos are shared as well, visit the videos links. #forexanalysis #trading #tradingbot #forex #stockmarket #stocktrading #stocktradingstrategies #algotrading #python #pythonforbeginners 00:00 Introduction High Return Trading Results 00:47 Rayner Teo Background Strategy 01:25 Python Code Explanation Loading The Data 02:15 Technical Indicators And Strategy Rules 03:05 Bollinger Bands Modifications 05:40 Candlesticks And Signal Visualization 06:15 Strategy Backtesting 09:10 Backtest Results Positive Returns 12:18 Extreme High Returns Parameters

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