Discussing the article: "The Group Method of Data Handling: Implementing the Multilayered Iterative Algorithm in MQL5"
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Check out the new article: The Group Method of Data Handling: Implementing the Multilayered Iterative Algorithm in MQL5.
In this article we describe the implementation of the Multilayered Iterative Algorithm of the Group Method of Data Handling in MQL5.
The Group Method of Data Handling is a type of algorithm used for data analysis and prediction. It is a machine learning technique that aims to find the best mathematical model to describe a given dataset. GMDH was developed by the Soviet mathematician Alexey Ivakhnenko in the 1960s. It was developed to address the challenges associated with modeling complex systems based on empirical data. GMDH algorithms employ a data-driven approach to modeling, where models are generated and refined based on observed data rather than preconceived notions or theoretical assumptions.
One of the main advantages of GMDH is that it automates the process of model building by iteratively generating and evaluating candidate models. Selecting the best-performing models and refining them based on feedback from the data. This automation reduces the need for manual intervention and expertise in the construction of the model.
The key idea behind GMDH is to build a series of models of increasing complexity and accuracy by iteratively selecting and combining variables. The algorithm starts with a set of simple models (usually linear models) and gradually increases their complexity by adding additional variables and terms. At each step, the algorithm evaluates the performance of the models and selects the best-performing ones to form the basis for the next iteration. This process continues until a satisfactory model is obtained or until a stopping criteria is met.
Author: Francis Dube