ZigZag is one of the most popular indicators among the MetaTrader 5 users. The article analyzes the possibilities for creating various versions of the ZigZag. The result is a universal indicator with ample opportunities to extend its functionality, which is useful in the development of trading experts and other indicators.
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.
The article provides the analysis of the following patterns: Flag, Pennant, Wedge, Rectangle, Contracting Triangle, Expanding Triangle. In addition to analyzing their similarities and differences, we will create indicators for detecting these patterns on the chart, as well as a tester indicator for the fast evaluation of their effectiveness.
This article presents a visual strategy builder. It is shown how any user can create trading robots and utilities without programming. Created Expert Advisors are fully functional and can be tested in the strategy tester, optimized in the cloud or executed live on real time charts.
The indicator automatically identifies the 1-2-3 pattern on the chart. The indicator is able to monitor the formation of pattern in real time. It informs the trader when the pattern is completely formed (when the price breaks the line in point 2) and displays the completed patterns in history. The patterns are never redrawn. The indicator can identify patterns on any instruments (currency pairs, stock market, gold, etc.) without the need to adjust to each instrument. Simple and clear
The indicator automatically identifies the 1-2-3 pattern on the chart. The indicator is able to monitor the formation of pattern in real time. It informs the trader when the pattern is completely formed (when the price breaks the line in point 2) and displays the completed patterns in history. The patterns are never redrawn. The indicator can identify patterns on any instruments (currency pairs, stock market, gold, etc.) without the need to adjust to each instrument. Simple and clear
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.
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.
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
Start offering your trading applications to millions of MetaTrader users from around the world though the Market. The service provides a ready-made infrastructure: access to a large audience, licensing solutions, trial versions, publication of updates and acceptance of payments. You only need to complete a quick seller registration procedure and publish your product. Start generating additional profits from your programs using the ready-made technical base provided by the service.
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
MQL5.community Market provides Expert Advisors developers with the already formed market consisting of thousands of potential customers. This is the best place for selling trading robots and technical indicators!
In this article, I would like to give an example of what a trader's program can be like as well as what results can be achieved in 9 months, having started to learn MQL5 from scratch. This example will also show how multi-functional and informative such a program can be for a trader while taking minimum space on the price chart. And we will be able to see just how colorful, bright and intuitively clear to the user trade information panels can get. As well as many other features...
This article is dedicated to a new and perspective direction in machine learning - deep learning or, to be precise, deep neural networks. This is a brief review of second generation neural networks, the architecture of their connections and main types, methods and rules of learning and their main disadvantages followed by the history of the third generation neural network development, their main types, peculiarities and training methods. Conducted are practical experiments on building and training a deep neural network initiated by the weights of a stacked autoencoder with real data. All the stages from selecting input data to metric derivation are discussed in detail. The last part of the article contains a software implementation of a deep neural network in an Expert Advisor with a built-in indicator based on MQL4/R.