Python for Finance and Algorithmic Trading, 2nd Edition

[LeeAndro]

Lucas Inglese | 2022 | ASIN: B0BB4SB3FV | English | 325 pages | ePUB | 5 MB

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 eeering" 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 strats
Generate market predictions using machine learning, deep learning, and series analysis
Learn how to find the best take profit, stop loss, and leverage for your strats
Combine trading strats using portfolio management to increase the robustness of the strats
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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