Discussing the article: "Integrating MQL5 with data processing packages (Part 2): Machine Learning and Predictive Analytics"
great article ! I followed your code I get an error : 2024.08.21 02:57:11.290 adas (XAUUSD,H1) array out of range in 'adas.mq5' (74,41)
hello
I also encountered the exact same error
Hi ...i read all your articles and looked at the code.....there are mistakes in all of them....I hope you revise all the codes u publish...|
I don't know but at least there should be some qc on the final code submitted
I don't know but at least there should be some qc on the final code submitted
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Check out the new article: Integrating MQL5 with data processing packages (Part 2): Machine Learning and Predictive Analytics.
In our series on integrating MQL5 with data processing packages, we delve in to the powerful combination of machine learning and predictive analysis. We will explore how to seamlessly connect MQL5 with popular machine learning libraries, to enable sophisticated predictive models for financial markets.
In this article we focus specifically on Machine Learning (ML) and Predictive Analytics. Data processing packages opens new frontiers for quantitative traders and financial analysts. By embedding machine learning capabilities within MQL5, traders can elevate their trading strategies from traditional rule-based systems to sophisticated, data-driven models that continuously adapt to evolving market conditions.
The process involves using Python’s powerful data processing and machine learning libraries like scikit-learn in conjunction with MQL5. This integration allows traders to train predictive models using historical data, test their effectiveness using back-testing techniques, and then deploy those models to make real-time trading decisions. The flexibility to blend these tools enables the creation of strategies that go beyond typical technical indicators, incorporating predictive analytics and pattern recognition that can significantly enhance trading outcomes.
Author: Hlomohang John Borotho