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Python for finance and algorithmic trading (2nd edition)

📚Find the book:https://www.amazon.com/gp/product/B0BB5DDB1Q

This second version has allowed us to tweak some points of the existing chapters but especially to add 3 new chapters based on your feedbacks of the first version. So I am proud to offer you 3 new chapters: "Advanced backtest methods", ”Features and target engineering" and ”From nothing to a live trading bot". The book presents the benefits of portfolio management, statistics and machine learning applied to live trading with MetaTrader™ 5.

Capture d’écran 2022-08-25 à 09 51 47

  • Learn portfolio management technics and how to implement your optimization criterion
  • How to backtest a strategy using the most valuable metrics in trading
  • Import data from your broker to be as close as possible to the market
  • Learn statistical arbitrage through pairs trading strategy
  • Generate market predictions using machine learning, deep learning, and time series analysis
  • Learn how to find the best take profit, stop loss, and leverage for your strategies
  • Combine trading strategies using portfolio management to increase the robustness of the strategies
  • Connect your Python algorithm to your MetaTrader 5 and run it with a demo or live trading account
  • All codes in the book can be used for live trading or screener if you prefer manual trading

MetaTrader configuration explanation: https://www.youtube.com/watch?v=ZXrjwTds4vU&list=PLGaqkGqYH255Vt9EOhhLqFTDFo1Opnya2

Disclaimer: I am not authorized by any financial authority to give investment advice. This book is for educational purposes only. I disclaim all responsibility for any loss of capital on your part. Moreover, 78.18% of private investors lose money trading CFD. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technologies, this work contains or describes is subject to open-source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. This book is not intended as financial advice. Please consult a qualified professional if you require financial advice. Past performance is no indication of future performance.

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