Articles, Library comments - page 26

Check out the new article: Population ADAM (Adaptive Moment Estimation) . The article presents the transformation of the well-known and popular ADAM gradient optimization method into a population algorithm and its modification with the introduction of hybrid individuals. The new approach allows

Check out the new article: MQL5 Wizard Techniques you should know (Part 76): Using Patterns of Awesome Oscillator and the Envelope Channels with Supervised Learning . We follow up on our last article, where we introduced the indicator couple of the Awesome-Oscillator and the Envelope Channel, by

Check out the new article: MQL5 Trading Tools (Part 5): Creating a Rolling Ticker Tape for Real-Time Symbol Monitoring . In this article, we develop a rolling ticker tape in MQL5 for real-time monitoring of multiple symbols, displaying bid prices, spreads, and daily percentage changes with scrolling

Check out the new article: Reimagining Classic Strategies (Part 14): Multiple Strategy Analysis . In this article, we continue our exploration of building an ensemble of trading strategies and using the MT5 genetic optimizer to tune the strategy parameters. Today, we analyzed the data in Python

Check out the new article: Developing a robot in Python and MQL5 (Part 1): Data preprocessing . Developing a trading robot based on machine learning: A detailed guide. The first article in the series deals with collecting and preparing data and features. The project is implemented using the Python

New article Learn how to design a trading system by ATR has been published: In this article, we will learn a new technical tool that can be used in trading, as a continuation within the series in which we learn how to design simple trading systems. This time we will work with another popular

Check out the new article: Neural Networks in Trading: Enhancing Transformer Efficiency by Reducing Sharpness (SAMformer) . Training Transformer models requires large amounts of data and is often difficult since the models are not good at generalizing to small datasets. The SAMformer framework helps

Check out the new article: Creating 3D bars based on time, price and volume . The article dwells on multivariate 3D price charts and their creation. We will also consider how 3D bars predict price reversals, and how Python and MetaTrader 5 allow us to plot these volume bars in real time. It all

Check out the new article: MQL5 Wizard Techniques you should know (Part 38): Bollinger Bands . Bollinger Bands are a very common Envelope Indicator used by a lot of traders to manually place and close trades. We examine this indicator by considering as many of the different possible signals it does

Check out the new article: Data Science and ML (Part 46): Stock Markets Forecasting Using N-BEATS in Python . N-BEATS is a revolutionary deep learning model designed for time series forecasting. It was released to surpass classical models for time series forecasting such as ARIMA, PROPHET, VAR, etc

Check out the new article: Neural Networks in Trading: Contrastive Pattern Transformer . The Contrastive Transformer is designed to analyze markets both at the level of individual candlesticks and based on entire patterns. This helps improve the quality of market trend modeling. Moreover, the use of

sSyncScroll : Script for the charts simultaneous scrolling. The script is launched on one chart. When scrolling any of the charts, the rest ones are also shifted. Such a position is marked by vertical lines. It is better to turn on the "Shift end of the chart from the right border" option when using

Simplified opening of stop orders : Brief description Author: Vladimir Khlystov

Creat Button Close BuySell On Chart : MQL5 script for MetaTrader 5 that adds two buttons to close all buy or sell positions for the current symbol. Author: Duy Van Nguy

Check out the new article: Cycles and trading . This article is about using cycles in trading. We will consider building a trading strategy based on cyclical models. The main task facing a trader is to predict price movements. Traders build their forecasts based on one model or another. One of the

LotSize Calculation : This is a simple script file to compute lot size either using risk percentage approach or the actual amount to risk. Author: Daniel Opoku

New article Measuring Indicator Information has been published: Machine learning has become a popular method for strategy development. Whilst there has been more emphasis on maximizing profitability and prediction accuracy , the importance of processing the data used to build predictive models has

New article MQL5 — You too can become a master of this language has been published: This article will be a kind of interview with myself, in which I will tell you how I took my first steps in the MQL5 language. I will show you how you can become a great MQL5 programmer. I will explain the necessary

Check out the new article: Price Action Analysis Toolkit Development (Part 32): Python Candlestick Recognition Engine (II) — Detection Using Ta-Lib . In this article, we’ve transitioned from manually coding candlestick‑pattern detection in Python to leveraging TA‑Lib, a library that recognizes over

Check out the new article: From Novice to Expert: Animated News Headline Using MQL5 (VI) — Pending Order Strategy for News Trading . In this article, we shift focus toward integrating news-driven order execution logic—enabling the EA to act, not just inform. Join us as we explore how to implement

Check out the new article: Self Optimizing Expert Advisors in MQL5 (Part 9): Double Moving Average Crossover . This article outlines the design of a double moving average crossover strategy that uses signals from a higher timeframe (D1) to guide entries on a lower timeframe (M15), with stop-loss

Check out the new article: MQL5 Trading Tools (Part 4): Improving the Multi-Timeframe Scanner Dashboard with Dynamic Positioning and Toggle Features . In this article, we upgrade the MQL5 Multi-Timeframe Scanner Dashboard with movable and toggle features. We enable dragging the dashboard and a

Check out the new article: Trend Prediction with LSTM for Trend-Following Strategies . Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) designed to model sequential data by effectively capturing long-term dependencies and addressing the vanishing gradient problem. In this

Quick Chart Setter: Instant Color Themes for MT5 Traders : A quick little script to make traders' lives easier. The one thing that always annoys me is resetting the properties like colors for a new chart, to make it look the way i like it. So Here is a script to make things smoother. Author: Kenneth

2 Moving Averages with Bollinger Bands : "2 Moving Averages with Bollinger Bands" is a custom MT5 indicator that combines two configurable moving averages and optional Bollinger Bands. It generates real-time Buy and Sell arrows when crossovers occur, with optional alerts, sound, and email

Check out the new article: Implementing Practical Modules from Other Languages in MQL5 (Part 02): Building the REQUESTS Library, Inspired by Python . In this article, we implement a module similar to requests offered in Python to make it easier to send and receive web requests in MetaTrader 5 using

VWAP bands : Volume weighted average bands. Author: Mladen Rakic

Check out the new article: From Basic to Intermediate: Recursion . In this article we will look at a very interesting and quite challenging programming concept, although it should be treated with great caution, as its misuse or misunderstanding can turn relatively simple programs into something

RRS Impulse : This EA scalps using the Relative Strength Index (RSI) Indicator, Stochastic Oscillator Indicator, and Bollinger Bands Indicator to identify trend or counter-trend opportunities. As a multi-pair EA, it scans multiple currency pairs for signals. This EA comes with a variety of features

New article Visualize this! MQL5 graphics library similar to 'plot' of R language has been published: When studying trading logic, visual representation in the form of graphs is of great importance. A number of programming languages popular among the scientific community (such as R and Python)