Vladimir Skorina
Vladimir Skorina
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8+ years
experience
2
products
109
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0
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Интерес программирования на mt4.
Большой интерес к работе с тиками и нейронными сетями(в часности третьего поколения).
shared author's Victor article
Introduction to the Empirical Mode Decomposition Method
Introduction to the Empirical Mode Decomposition Method

This article serves to familiarize the reader with the empirical mode decomposition (EMD) method. It is the fundamental part of the Hilbert–Huang transform and is intended for analyzing data from nonstationary and nonlinear processes. This article also features a possible software implementation of this method along with a brief consideration of its peculiarities and gives some simple examples of its use.

shared author's eatree article
Creating MQL5 Expert Advisors in minutes using EA Tree: Part One
Creating MQL5 Expert Advisors in minutes using EA Tree: Part One

EA Tree is the first drag and drop MetaTrader MQL5 Expert Advisor builder. You can create complex MQL5 using a very easy to use graphical user interface. In EA Tree, Expert Advisors are created by connecting boxes together. Boxes may contain MQL5 functions, technical indicators, custom indicators, or values. Using the "tree of boxes", EA Tree generates the MQL5 code of the Expert Advisor.

shared author's ArtemGaleev article
Multiple Regression Analysis. Strategy Generator and Tester in One
Multiple Regression Analysis. Strategy Generator and Tester in One

The article gives a description of ways of use of the multiple regression analysis for development of trading systems. It demonstrates the use of the regression analysis for strategy search automation. A regression equation generated and integrated in an EA without requiring high proficiency in programming is given as an example.

shared author's Victor article
Time Series Forecasting Using Exponential Smoothing
Time Series Forecasting Using Exponential Smoothing

The article familiarizes the reader with exponential smoothing models used for short-term forecasting of time series. In addition, it touches upon the issues related to optimization and estimation of the forecast results and provides a few examples of scripts and indicators. This article will be useful as a first acquaintance with principles of forecasting on the basis of exponential smoothing models.

shared author's Victor article
Time Series Forecasting Using Exponential Smoothing (continued)
Time Series Forecasting Using Exponential Smoothing (continued)

This article seeks to upgrade the indicator created earlier on and briefly deals with a method for estimating forecast confidence intervals using bootstrapping and quantiles. As a result, we will get the forecast indicator and scripts to be used for estimation of the forecast accuracy.

shared author's investeo article
Applying The Fisher Transform and Inverse Fisher Transform to Markets Analysis in MetaTrader 5
Applying The Fisher Transform and Inverse Fisher Transform to Markets Analysis in MetaTrader 5

We now know that probability density function (PDF) of a market cycle does not remind a Gaussian but rather a PDF of a sine wave and most of the indicators assume that the market cycle PDF is Gaussian we need a way to "correct" that. The solution is to use Fisher Transform. The Fisher transform changes PDF of any waveform to approximately Gaussian. This article describes the mathematics behind the Fisher Transform and the Inverse Fisher Transform and their application to trading. A proprietary trading signal module based on the Inverse Fisher Transform is presented and evaluated.

shared author's Victor article
Statistical Estimations
Statistical Estimations

Estimation of statistical parameters of a sequence is very important, since most of mathematical models and methods are based on different assumptions. For example, normality of distribution law or dispersion value, or other parameters. Thus, when analyzing and forecasting of time series we need a simple and convenient tool that allows quickly and clearly estimating the main statistical parameters. The article shortly describes the simplest statistical parameters of a random sequence and several methods of its visual analysis. It offers the implementation of these methods in MQL5 and the methods of visualization of the result of calculations using the Gnuplot application.

shared author's MRoVas article
The Implementation of Automatic Analysis of the Elliott Waves in MQL5
The Implementation of Automatic Analysis of the Elliott Waves in MQL5

One of the most popular methods of market analysis is the Elliott Wave Principle. However, this process is quite complicated, which leads us to the use of additional tools. One of such instruments is the automatic marker. This article describes the creation of an automatic analyzer of Elliott Waves in MQL5 language.

shared author's Victor article
Analysis of the Main Characteristics of Time Series
Analysis of the Main Characteristics of Time Series

This article introduces a class designed to give a quick preliminary estimate of characteristics of various time series. As this takes place, statistical parameters and autocorrelation function are estimated, a spectral estimation of time series is carried out and a histogram is built.

shared author's investeo article
Advanced Adaptive Indicators Theory and Implementation in MQL5
Advanced Adaptive Indicators Theory and Implementation in MQL5

This article will describe advanced adaptive indicators and their implementation in MQL5: Adaptive Cyber Cycle, Adaptive Center of Gravity and Adaptive RVI. All indicators were originally presented in "Cybernetic Analysis for Stocks and Futures" by John F. Ehlers.

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 Alexey Klenov article
Expert Advisor based on the "New Trading Dimensions" by Bill Williams
Expert Advisor based on the "New Trading Dimensions" by Bill Williams

In this article I will discuss the development of Expert Advisor, based on the book "New Trading Dimensions: How to Profit from Chaos in Stocks, Bonds, and Commodities" by Bill Williams. The strategy itself is well known and its use is still controversial among traders. The article considers trading signals of the system, the specifics of its implementation, and the results of testing on historical data.

shared author's Yousufkhodja Sultonov article
Universal Regression Model for Market Price Prediction
Universal Regression Model for Market Price Prediction

The market price is formed out of a stable balance between demand and supply which, in turn, depend on a variety of economic, political and psychological factors. Differences in nature as well as causes of influence of these factors make it difficult to directly consider all the components. This article sets forth an attempt to predict the market price on the basis of an elaborated regression model.

shared author's Denis Kirichenko article
The Role of Statistical Distributions in Trader's Work
The Role of Statistical Distributions in Trader's Work

This article is a logical continuation of my article Statistical Probability Distributions in MQL5 which set forth the classes for working with some theoretical statistical distributions. Now that we have a theoretical base, I suggest that we should directly proceed to real data sets and try to make some informational use of this base.

shared author's investeo article
Moving Mini-Max: a New Indicator for Technical Analysis and Its Implementation in MQL5
Moving Mini-Max: a New Indicator for Technical Analysis and Its Implementation in MQL5

In the following article I am describing a process of implementing Moving Mini-Max indicator based on a paper by Z.G.Silagadze 'Moving Mini-max: a new indicator for technical analysis'. The idea of the indicator is based on simulation of quantum tunneling phenomena, proposed by G. Gamov in the theory of alpha decay.

shared author's ds2 article
Connecting NeuroSolutions Neuronets
Connecting NeuroSolutions Neuronets

In addition to creation of neuronets, the NeuroSolutions software suite allows exporting them as DLLs. This article describes the process of creating a neuronet, generating a DLL and connecting it to an Expert Advisor for trading in MetaTrader 5.

shared author's Denis Kirichenko article
Econometric Approach to Analysis of Charts
Econometric Approach to Analysis of Charts

This article describes the econometric methods of analysis, the autocorrelation analysis and the analysis of conditional variance in particular. What is the benefit of the approach described here? Use of the non-linear GARCH models allows representing the analyzed series formally from the mathematical point of view and creating a forecast for a specified number of steps.

shared author's Denis Kirichenko article
Statistical Probability Distributions in MQL5
Statistical Probability Distributions in MQL5

The article addresses probability distributions (normal, log-normal, binomial, logistic, exponential, Cauchy distribution, Student's t-distribution, Laplace distribution, Poisson distribution, Hyperbolic Secant distribution, Beta and Gamma distribution) of random variables used in Applied Statistics. It also features classes for handling these distributions.

shared author's Dmitriy Skub article
The Indicators of the Micro, Middle and Main Trends
The Indicators of the Micro, Middle and Main Trends

The aim of this article is to investigate the possibilities of trade automation and the analysis, on the basis of some ideas from a book by James Hyerczyk "Pattern, Price & Time: Using Gann Theory in Trading Systems" in the form of indicators and Expert Advisor. Without claiming to be exhaustive, here we investigate only the Model - the first part of the Gann theory.

shared author's Denis Kirichenko article
MQL5 Programming Basics: Lists
MQL5 Programming Basics: Lists

The new version of the programming language for trading strategy development, MQL [MQL5], provides more powerful and effective features as compared with the previous version [MQL4]. The advantage essentially lies in the object-oriented programming features. This article looks into the possibility of using complex custom data types, such as nodes and lists. It also provides an example of using lists in practical programming in MQL5.