14 new topics on forum:
- Questions from Beginners MQL4 MT4 MetaTrader 4
- stop loss order not being placed
- EA not recognizing its own orders if trading gold
Graphical Interfaces X: Updates for Easy And Fast Library (Build 3)
The next version of the Easy And Fast library (version 3) is presented in this article. Fixed certain flaws and added new features. More details further in the article.
Neural network: Self-optimizing Expert Advisor
Is it possible to develop an Expert Advisor able to optimize position open and close conditions at regular intervals according to the code commands? What happens if we implement a neural network (multilayer perceptron) in the form of a module to analyze history and provide strategy? We can make the EA optimize a neural network monthly (weekly, daily or hourly) and continue its work afterwards. Thus, we can develop a self-optimizing EA.
Apple products have become very popular. MetaQuotes Software Corp. attentively follows the progress of the IT industry and has already released the special mobile applications for iOS-based devices - MetaTrader 4 for iPhone and MetaTrader 5 for iPhone.There are many topics on the MQL4.community forum, where people are seeking a solution for running MetaTrader 4 under the Mac OS operating system. In this article, you will find out how to work in MetaTrader 4 via the Apple's popular operating system.
This practice-oriented article focuses on working with files in MQL5. It offers a number of simple tasks allowing you to grasp the basics and hone your skills.
The Easy Way to Evaluate a Signal: Trading Activity, Drawdown/Load and MFE/MAE Distribution Charts
Subscribers often search for an appropriate signal by analyzing the total growth on the signal provider's account, which is not a bad idea. However, it is also important to analyze potential risks of a particular trading strategy. In this article we will show a simple and efficient way to evaluate a Trading Signal based on its performance values.
Graphical Interfaces X: Updates for Easy And Fast Library (Build 3)
The next version of the Easy And Fast library (version 3) is presented in this article. Fixed certain flaws and added new features. More details further in the article.
Neural network: Self-optimizing Expert Advisor
Is it possible to develop an Expert Advisor able to optimize position open and close conditions at regular intervals according to the code commands? What happens if we implement a neural network (multilayer perceptron) in the form of a module to analyze history and provide strategy? We can make the EA optimize a neural network monthly (weekly, daily or hourly) and continue its work afterwards. Thus, we can develop a self-optimizing EA.
Graphical Interfaces X: Updates for Easy And Fast Library (Build 3)
The next version of the Easy And Fast library (version 3) is presented in this article. Fixed certain flaws and added new features. More details further in the article.
Neural network: Self-optimizing Expert Advisor
Is it possible to develop an Expert Advisor able to optimize position open and close conditions at regular intervals according to the code commands? What happens if we implement a neural network (multilayer perceptron) in the form of a module to analyze history and provide strategy? We can make the EA optimize a neural network monthly (weekly, daily or hourly) and continue its work afterwards. Thus, we can develop a self-optimizing EA.
Statistical Distributions in MQL5 - taking the best of R and making it faster
The functions for working with the basic statistical distributions implemented in the R language are considered. Those include the Cauchy, Weibull, normal, log-normal, logistic, exponential, uniform, gamma distributions, the central and noncentral beta, chi-squared, Fisher's F-distribution, Student's t-distribution, as well as the discrete binomial and negative binomial distributions, geometric, hypergeometric and Poisson distributions. There are functions for calculating theoretical moments of distributions, which allow to evaluate the degree of conformity of the real distribution to the modeled one.