In this article, we will consider the multi-population ESG algorithm that I created specifically for this article. We will look at the basic principles of such algorithms. In addition, we will consider the results of comparative studies that will allow us to evaluate the effectiveness of these algorithms in comparison with mono-population optimization methods. more...
A quick refresher for the previous article in the News Trading Made Easy series. In part 1, we went through the concept of DST(Daylight Savings Time) and the various versions for different countries that essentially change their time zones by an hour ahead and behind during a financial year. This will change trading schedules for the related brokers using DST. The reasons for creating a database and the benefits were addressed. A database was created to store the news events from the MQL5 Economic Calendar ...
In this installment of our ongoing series on the Modified Grid-Hedge EA in MQL5, we delve into the intricacies of the Grid EA. Building on our experience with the Simple Hedge EA, we now apply similar techniques to improve the performance of the Grid EA. Our journey begins with an existing Grid EA, which serves as our canvas for mathematical exploration. The goal? To dissect the underlying strategy, unravel its intricacies, and uncover the theoretical underpinnings that drive its behavior. ...
In the previous article "Neural networks made easy (Part 39): Go-Explore, a different approach to exploration", we familiarized ourselves with the Go-Explore algorithm and its ability to explore the environment. In this article, we will take a closer look at possible optimization methods for the Go-Explore algorithm to improve its efficiency over longer training periods. more...
The Decision Transformer and all its modifications, which we discussed in recent articles, belong to the methods of Behavior Cloning (BC). We train models to repeat actions from "expert" trajectories depending on the state of the environment and the target outcomes. Thus, we teach the model to imitate the behavior of an expert in the current state of the environment in order to achieve the target. more...
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