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mql5

  1. Deep Learning GRU model with Python to ONNX with EA, and GRU vs LSTM models

    by , 03-09-2024 at 04:07 PM
    This is the continuation of Deep Learning Forecast and Order Placement using Python, the MetaTrader5 Python package and an ONNX model file, but you continue this one without the previous one. All will be explained. Everything we will use is included in this article. In this section, we will guide you through the entire process, culminating in the creation of an Expert Advisor (EA) for trading and subsequent testing.

    Machine learning is a subset of artificial intelligence (AI)
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  2. How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 6): Two RSI indicators cross each other's lines

    by , 03-01-2024 at 06:39 AM
    Multi-currency Expert Advisor is an Expert Advisor or trading robot that can trade (open orders, close orders and manage orders, for example: Trailing Stop Loss and Trailing Profit) for more than 1 symbol pair from only one symbol chart, where in this article Expert Advisor will trade for 30 pairs. In this article we will use two RSI indicators with crossing signals, Fast RSI crossing with Slow RSI.

    As has been proven in previous articles, we all know that multi-currency trading
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  3. Ready-made templates for including indicators to Expert Advisors (Part 3): Trend indicators

    by , 02-15-2024 at 02:34 AM
    The article continues the topic of ready-made templates for using indicators in EAs. We have already considered the templates for connecting oscillators and volume and Bill Williams' indicators to EAs.

    Here we will look at connecting to EAs and using trend indicators. As in the previous articles, we will display the data received from indicators on the dashboard created in the first article of this series.


    The article will not differ in any way from
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  4. ALGLIB numerical analysis library in MQL5

    by , 01-27-2024 at 05:40 PM
    Financial markets generate data with a huge amount of complex relationships. To analyze them, we need to use the most modern methods of applied mathematics. Successfully combining the high complexity of financial data with the simplicity and efficiency of analysis is a challenging task. ALGLIB is a high-performance library designed specifically for working with numerical methods and data analysis algorithms. It is a reliable assistant in the analysis of financial markets.
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  5. Wrapping ONNX models in classes

    by , 01-26-2024 at 02:49 AM
    In the previous article, we used two ONNX models to arrange the voting classifier. The entire source text was organized as a single MQ5 file. The entire code was divided into functions. But what if we try to swap models? Or add another model? The original text will become even bigger. Let's try the object-oriented approach.
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