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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.
In this article, we will consider the main aspects of integration of neural networks and the trading terminal, with the purpose of creating a fully featured trading robot.
When communicating in various forums, I often used examples of my test results displayed as screenshots of Microsoft Excel charts. I have many times been asked to explain how such charts can be created. Finally, I now have some time to explain it all in this article.
The article deals with some issues arising when traders apply various money management systems to Forex trading. Experimental data obtained from performing trading deals using different money management (MM) methods is also described.
Updated MQL4 has the new format for storing historical data and provides the appropriate MqlRates structure for convenient storage of Time, Open, Low, High, Close and Volume values. For many years, traders have developed their MQL4 applications that collect and store their data in HST files for generating offline charts. We can assure you that all previously compiled EX4 files will work in the new MetaTrader 4 terminal the same way as before.
This indicator identifies short-term, medium-term and long-term highs and lows of the market according to the method described by Larry Williams in the book "Long-term secrets to short-term trading". Brief description of the principle of identifying the market highs and lows A short-term high is a high of a bar with lower highs on either side of it, and, conversely, a short-term low of a bar is a low with higher lows on either side of it. Medium-term highs and lows are determined similarly: a
This indicator identifies short-term, medium-term and long-term highs and lows of the market according to the method described by Larry Williams in the book "Long-term secrets to short-term trading". Brief description of the principle of identifying the market highs and lows A short-term high is a high of a bar with lower highs on either side of it, and, conversely, a short-term low of a bar is a low with higher lows on either side of it. Medium-term highs and lows are determined similarly: a
We all are aware of that "No profit obtained in the past will guarantee any success in future". However, it is still very actual to be able to estimate trading systems. This article deals with some simple and convenient methods that will help to estimate trade results.
This article is a quick guide to MQL4 language functions, it will help you to migrate your programs from MQL4 to MQL5. For each MQL4 function (except trading functions) the description and MQL5 implementation are presented, it allows you to reduce the conversion time significantly. For convenience, the MQL4 functions are divided into groups, similar to MQL4 Reference.
The article delves into the trading methods ensuring the security of trading operations at the stock and low-liquidity markets through the example of Moscow Exchange's Derivatives Market. It brings practical approach to the trading theory described in the article "Principles of Exchange Pricing through the Example of Moscow Exchange's Derivatives Market".
This article describes the theory of exchange pricing and clearing specifics of Moscow Exchange's Derivatives Market. This is a comprehensive article for beginners who want to get their first exchange experience on derivatives trading, as well as for experienced forex traders who are considering trading on a centralized exchange platform.
The MetaTrader 5 platform allows developing and testing trading robots that simultaneously trade multiple financial instruments. The built-in Strategy Tester automatically downloads required tick history from the broker's server taking into account contract specifications, so the developer does not need to do anything manually. This makes it possible to easily and reliably reproduce trading environment conditions, including even millisecond intervals between the arrival of ticks on different symbols. In this article we will demonstrate the development and testing of a spread strategy on two Moscow Exchange futures.
Many traders on Moscow Exchange would like to automate their trading algorithms, but they do not know where to start. The MQL5 language offers a huge range of trading functions, and it additionally provides ready classes that help users to make their first steps in algo trading.
Most developers need to have their code secured. This article will present a few different ways to protect MQL5 software - it presents methods to provide licensing capabilities to MQL5 Scripts, Expert Advisors and Indicators. It covers password protection, key generators, account license, time-limit evaluation and remote protection using MQL5-RPC calls.
The number of trading robots used on the currency markets has significantly increased recently. They employ various concepts and strategies, however, none of them has yet succeeded to create a win-win sample of artificial intelligence. Therefore, many traders remain committed to manual trading. But even for such specialists, robotic assistants or, so called, trading panels, are created. This article is yet another example of creating a trading panel from scratch.
If specific neural network programs for trading seem expensive and complex or, on the contrary, too simple, try NeuroPro. It is free and contains the optimal set of functionalities for amateurs. This article will tell you how to use it in conjunction with MetaTrader 5.