The main difference of the trading system proposed in the article is the use of mathematical tools for analyzing stock quotes. The system applies digital filtering and spectral estimation of discrete time series. The theoretical aspects of the strategy are described and a test Expert Advisor is created.
Risk Evaluation in the Sequence of Deals with One Asset
This article describes the use of methods of the theory of probability and mathematical statistics in the analysis of trading systems.
Universal Expert Advisor: CUnIndicator and Use of Pending Orders (Part 9)
The article describes the work with indicators through the universal CUnIndicator class. In addition, new methods of working with pending orders are considered. Please note: from this point on, the structure of the CStrategy project has undergone substantial changes. Now all its files are located in a single directory for the convenience of users.
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes
This article deals primarily with the classes CExpertAdvisor and CExpertAdvisors, which serve as the container for all the other components described in this article-series regarding cross-platform expert advisors.
In this article, we will create the basic functionality of a scalping Market Depth tool. Also, we will develop a tick chart based on the CGraphic library and integrate it with the order book. Using the described Market Depth, it will be possible to create a powerful assistant tool for short-term trading.
The article considers all kinds of divergence: simple, hidden, extended, triple, quadruple, convergence, as well as divergences of A, B and C classes. A universal indicator for their search and display on the chart is developed.
Deep Neural Networks (Part IV). Creating, training and testing a model of neural network
This article considers new capabilities of the darch package (v.0.12.0). It contains a description of training of a deep neural networks with different data types, different structure and training sequence. Training results are included.
We provide a special installer for the MetaTrader 4 trading platform on macOS. It is a full-fledged wizard that allows you to install the application natively. The installer performs all the required steps: it identifies your system, downloads and installs the latest Wine version, configures it, and then installs MetaTrader within it. All steps are completed in the automated mode, and you can start using the platform immediately after installation.
Creating and testing custom symbols in MetaTrader 5
Creating custom symbols pushes the boundaries in the development of trading systems and financial market analysis. Now traders are able to plot charts and test trading strategies on an unlimited number of financial instruments.
This article deals primarily with the classes CExpertAdvisor and CExpertAdvisors, which serve as the container for all the other components described in this article-series regarding cross-platform expert advisors.
Deep Neural Networks (Part IV). Creating, training and testing a model of neural network
This article considers new capabilities of the darch package (v.0.12.0). It contains a description of training of a deep neural networks with different data types, different structure and training sequence. Training results are included.
TradeObjects: Automation of trading based on MetaTrader graphical objects
The article deals with a simple approach to creating an automated trading system based on the chart linear markup and offers a ready-made Expert Advisor using the standard properties of the MetaTrader 4 and 5 objects and supporting the main trading operations.
Risk Evaluation in the Sequence of Deals with One Asset
This article describes the use of methods of the theory of probability and mathematical statistics in the analysis of trading systems.
The article describes the work with indicators through the universal CUnIndicator class. In addition, new methods of working with pending orders are considered. Please note: from this point on, the structure of the CStrategy project has undergone substantial changes. Now all its files are located in a single directory for the convenience of users.
