Price: $19.99 - $37.67
(as of May 19, 2026 08:17:29 UTC – Details)
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
ASIN : B0BB4SB3FV
Accessibility : Learn more
Publication date : August 17, 2022
Language : English
File size : 11.3 MB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 399 pages
Page Flip : Enabled
Best Sellers Rank: #509,153 in Kindle Store (See Top 100 in Kindle Store) #33 in Financial Engineering (Kindle Store) #81 in Financial Engineering (Books) #524 in AI & Semantics
Customer Reviews: 3.7 3.7 out of 5 stars (14) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
