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


Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading
August 18, 2022
by Lucas Inglese
ASIN: B0BB5DDB1Q
Publisher finelybook 出版社: Independently published (August 18, 2022)
Language 语言: English
Print Length 页数: 325 pages
ISBN-13: 9798844126222


Book Description
By finelybook

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

相关文件下载地址

下载地址 Download
解决验证以访问链接!
打赏
未经允许不得转载:finelybook » Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading

评论 抢沙发

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫