Python for Finance and Algorithmic trading, 2nd edition: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading Front Cover

Python for Finance and Algorithmic trading, 2nd edition: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading

  • Length: 327 pages
  • Edition: 1
  • Publication Date: 2022-08-17
  • ISBN-10: B0BB4SB3FV
  • Sales Rank: #826565 (See Top 100 Books)
Description

The book presents the benefits of portfolio management, statistics and machine learning applied to live trading with MetaTrader™ 5.

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”.

  • 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 pair trading strategies
  • 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
  • Use all codes in the book for live trading or screener if you prefer manual trading
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