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Python for Finance and Algorithmic trading (2nd edition) Machine Learning - ebooks1001 - 01-08-2024
![[Image: 8404b876c57796d6f04bad35150d2d47.jpeg]](https://i122.fastpic.org/big/2024/0107/47/8404b876c57796d6f04bad35150d2d47.jpeg)
Free Download Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading by Lucas Inglese
English | August 17, 2022 | ISBN: N/A | ASIN: B0BB4SB3FV | 327 pages | EPUB | 4.03 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 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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