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  1. Integrating ML models with the Strategy Tester (Conclusion): Implementing a regression model for price prediction

    by , 05-12-2024 at 04:41 AM
    In the previous article, we completed the implementation of a CSV file management class for storing and retrieving data related to financial markets. Having created the infrastructure, we are now ready to use this data to build and train a machine learning model.


    Our task in this article is to implement a regression model that can predict the closing price of a financial asset within a week. This forecast will allow us to analyze market behavior and make informed decisions
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  2. Alternative risk return metrics in MQL5

    by , 05-07-2024 at 02:45 AM
    All traders hope to maximize the percentage return on their investment by as much as possible, however higher returns usually come at a higher risk. This is the reason why risk adjusted returns are the main measure of performance in the investment industry. There are many different measures of risk adjusted return, each one with its own set of advantages and disadvantages. The Sharpe ratio is a popular risk return measure famous for imposing unrealistic preconditions on the distribution of returns
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  3. Implementing the Generalized Hurst Exponent and the Variance Ratio test in MQL5

    by , 04-10-2024 at 08:13 AM
    In the article Calculating the Hurst Exponent , we were introduced to the concept of fractal analysis and how it can be applied to financial markets. In that article the author described the rescaled range method (R/S) of estimating the Hurst Exponent. In this article we take a different approach by demonstrating the implementation of the Generalized Hurst Exponet (GHE) to classify the nature of a series. We will focus on using the GHE to identify forex symbols that exhibit a tendency to
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  4. Introduction to MQL5 (Part 2): Navigating Predefined Variables, Common Functions, and Control Flow Statements

    by , 01-13-2024 at 04:50 PM
    Welcome back to our MQL5 journey! In Part One, we embarked on the adventure of algorithmic trading, breaking down the complexities of MQL5 for beginners without prior programming experience. As we step into Part Two, the excitement continues as we delve even deeper into the essential building blocks of MQL5. Our goal is simple yet profound: to ensure everyone, regardless of their programming background, feels the embrace of understanding. Feel free to ask any questions, and let's unravel
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  5. Introduction to MQL5 (Part 1): A Beginner's Guide into Algorithmic Trading

    by , 12-08-2023 at 04:45 PM
    Without any prior programming experience, learning MQL5 can be difficult but not impossible. Understanding MQL5, a specialized language created for algorithmic trading, necessitates having both programming and financial market expertise.

    In this article, we will cover the following topics:
    • Introduction to Programming
    • Types of MQL5 Programs
    • MetaEditor IDE
    • MQL5 Language Basics

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