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Can I read Python for Finance and Algorithmic trading: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTraderTM5 Live Trading on EtoBox?
Python for Finance and Algorithmic trading: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTraderTM5 Live Trading by Inglese, Lucas is a nonfiction available to read on EtoBox.
What is Python for Finance and Algorithmic trading: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTraderTM5 Live Trading about?
The book presents the benefits of portfolio management, statistics and machine learning applied to live trading with MetaTraderTM 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
Who reads Python for Finance and Algorithmic trading: Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTraderTM5 Live Trading?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Inglese, Lucas
- Publisher
- Quantreo
- Published
- 2022
- Language
- EN
- ISBN
- 9798844126222
- Category
- nonfiction
- Subjects
- Computer Science, Applications & Software, Stem
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