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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
