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  1. Experiments with neural networks (Part 4): Templates

    by , 05-21-2024 at 02:45 AM
    In the previous articles (Part 1, Part 2, Part 3), we experimented with shapes and angles whose values were passed to the perceptron and the neural network built on the basis of the DeepNeuralNetwork.mqh library. We also conducted experiments on optimization methods in the strategy tester.
    An important task in the current experiments was to track the influence of the amount of transmitted data and the depth of history we take this data from. In addition, we needed to reveal patterns,
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  2. Modified Grid-Hedge EA in MQL5 (Part III): Optimizing Simple Hedge Strategy (I)

    by , 05-20-2024 at 06:39 PM
    Welcome to the third installment of our "Optimizing a Simple Hedging Strategy" series. In this segment, we'll begin with a brief review of our progress to date. So far, we have developed two key components: the Simple Hedge Expert Advisor (EA) and the Simple Grid EA. This article will focus on further refining the Simple Hedge EA. Our goal is to improve its performance through a combination of mathematical analysis and a brute force approach to find the most effective way to implement this
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  3. Master MQL5 from beginner to pro (Part I): Getting started with programming

    by , 05-17-2024 at 06:25 AM
    I sometimes receive private messages from those who want to learn how to create their own Expert Advisors or indicators. Although there is a lot of material on this site and on the Internet in general, including very good resources with examples, beginners still need help. Some users seek more consistency in presentation, others require clarity or something else. Sometimes users ask: "Add comments to the code of a working Expert Advisor, I will understand everything and make the same one myself!"
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  4. 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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  5. Data label for time series mining(Part 1)

    by , 04-30-2024 at 03:24 PM
    When we design artificial intelligence models, we often need to prepare data first. Good data quality will allow us to get twice the result with half the effort in model training and validation. But our foreign exchange or stock data is special, which contains complex market information and time information, and data labeling is difficult, but we can easily analyze the trend in historical data on the chart.

    This section introduces a method of making data sets with trend marks by EA
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