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

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