Chao Lei
Chao Lei
shared author's Andrey Dibrov article
Practical application of neural networks in trading. It's time to practice
Practical application of neural networks in trading. It's time to practice

The article provides a description and instructions for the practical use of neural network modules on the Matlab platform. It also covers the main aspects of creation of a trading system using the neural network module. In order to be able to introduce the complex within one article, I had to modify it so as to combine several neural network module functions in one program.

TANG CHIE
[Deleted] 2022.11.09
[Deleted]
shared author's MetaQuotes article
Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrader 5
Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrader 5

One of the most interesting aspects of Self-Organizing Feature Maps (Kohonen maps) is that they learn to classify data without supervision. In its basic form it produces a similarity map of input data (clustering). The SOM maps can be used for classification and visualizing of high-dimensional data. In this article we will consider several simple applications of Kohonen maps.

shared author's Anddy Cabrera article
Programming a Deep Neural Network from Scratch using MQL Language
Programming a Deep Neural Network from Scratch using MQL Language

This article aims to teach the reader how to make a Deep Neural Network from scratch using the MQL4/5 language.

shared author's Максим Востров article
The Simple Example of Creating an Indicator Using Fuzzy Logic
The Simple Example of Creating an Indicator Using Fuzzy Logic

The article is devoted to the practical application of the fuzzy logic concept for financial markets analysis. We propose the example of the indicator generating signals based on two fuzzy rules based on Envelopes indicator. The developed indicator uses several indicator buffers: 7 buffers for calculations, 5 buffers for the charts display and 2 color buffers.

shared author's Maxim Romanov article
A scientific approach to the development of trading algorithms
A scientific approach to the development of trading algorithms

The article considers the methodology for developing trading algorithms, in which a consistent scientific approach is used to analyze possible price patterns and to build trading algorithms based on these patterns. Development ideals are demonstrated using examples.

shared author's Steven Brown article
Scraping bond yield data from the web
Scraping bond yield data from the web

Automate the collection of interest rate data to improve the performance of an Expert Advisor.

shared author's Carl Schreiber article
Cluster analysis (Part I): Mastering the slope of indicator lines
Cluster analysis (Part I): Mastering the slope of indicator lines

Cluster analysis is one of the most important elements of artificial intelligence. In this article, I attempt applying the cluster analysis of the indicator slope to get threshold values for determining whether a market is flat or following a trend.

shared author's Stanislav Korotky article
Forecasting Time Series (Part 2): Least-Square Support-Vector Machine (LS-SVM)
Forecasting Time Series (Part 2): Least-Square Support-Vector Machine (LS-SVM)

This article deals with the theory and practical application of the algorithm for forecasting time series, based on support-vector method. It also proposes its implementation in MQL and provides test indicators and Expert Advisors. This technology has not been implemented in MQL yet. But first, we have to get to know math for it.

Chao Lei
Registered at MQL5.community