Price: $44.99
(as of Jun 11, 2026 11:38:44 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 : B0BB5DDB1Q
Publisher : Independently published
Publication date : August 18, 2022
Language : English
Print length : 325 pages
ISBN-13 : 979-8844126222
Item Weight : 1.21 pounds
Dimensions : 6.69 x 0.74 x 9.61 inches
Best Sellers Rank: #2,895,662 in Books (See Top 100 in Books) #500 in Financial Engineering (Books) #6,531 in Artificial Intelligence & 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); } }); });
