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High Return Trading Strategy Using Leverage Effect Backtest
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Algorithmic Trading With Python - High Return Trading Strategy Using Leverage Effect Backtest

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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Here we Backtest an Algorithmic Trading Strategy using Python on a Leverage Account. The leverage can be a variable depending on the strategy you are intending to use. Trading Algorithmic Strategies can be easily backtested in python and the results are shown in the returns percentage. Trying to find the perfect Algorithmic Trading Strategy is not easy but some strategies can be surprisingly positive. #tradingbots #pythoncoding #forexanalysis 🍓 If you want to follow structured courses with more details and practice exercises check my "About" page for Discount Coupons on my Udemy courses covering: Python basics, Object Oriented Programming and Data Analysis with NumPy and Pandas, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck! The link for the python Jupyter notebook; https://drive.google.com/file/d/1x-EHXhjkO5hJVpOGsPHofvxmUNfOHTU3/view?usp=sharing 00:00 Introduction to leverage or margin in trading 03:37 Python code for algorithmic testing of the leveraged strategy 05:00 Backtesting results without leverage 07:28 Backtesting with leverage 10:00 Backtesting results with a modified strategy leverage

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