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The indicator analyzes the volume scale and splits it into two components - seller volumes and buyer volumes, and also calculates the delta and cumulative delta. The indicator does not flicker or redraw, its calculation and plotting are performed fairly quickly, while using the data from the smaller (relative to the current) periods. The indicator operation modes can be switched using the Mode input variable: Buy - display only the buyer volumes. Sell - display only the seller volumes. BuySell -
This article contains the description of writing a simple and convenient indicator displaying in a working area the main economic events from external Internet resources.
Mind Wave Trading Simulator is a training/trading utility for MetaTrader 4 that runs in both tester and real trade modes. It extends MetaTrader 4 functionality and makes trading easier in both tester and real trade modes. When used in the MetaTrader 4 tester, it offers traders an opportunity to practice and train their manual trading skills in accelerated speed. No need to wait for hours and days in real time demo trading to evaluate some manual trading strategy. Features that extend MetaTrader
In this article, we will consider the emission of indicators - a new approach to the market research. The calculation of emission is based on the intersection of different indicators: more and more points with different colors and shapes appear after each tick. They form numerous clusters like nebulae, clouds, tracks, lines, arcs, etc. These shapes help to detect the invisible springs and forces that affect the movement of market prices.
The article deals with the simultaneous launch of Expert Advisor testing on four different trading instruments. The final comparison of four testing reports is provided in a table similar to how goods are represented in online stores. An additional bonus is that distribution charts will be automatically created for each symbol.
This series of articles continues exploring deep neural networks (DNN), which are used in many application areas including trading. Here new dimensions of this theme will be explored along with testing of new methods and ideas using practical experiments. The first article of the series is dedicated to preparing data for DNN.
The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model.
It's not just simple; it's super simple. Testing Expert Advisors on non-standard time frames is possible! All we need to do is to replace standard time frame data with non-standard time frame data. Furthermore, we can even test Expert Advisors that use data from several non-standard time frames.
The article describes how currency pairs can be divided into groups (baskets), as well as how to obtain data about their status (for example, overbought and oversold) using certain indicators and how to apply this data in trading.
This article shows you how to easily use Neural Networks in your MQL4 code taking advantage of best freely available artificial neural network library (FANN) employing multiple neural networks in your code.