Articles, Library comments - page 10

Check out the new article: Creating Custom Indicators in MQL5 (Part 5): WaveTrend Crossover Evolution Using Canvas for Fog Gradients, Signal Bubbles, and Risk Management . In this article, we enhance the Smart WaveTrend Crossover indicator in MQL5 by integrating canvas-based drawing for fog gradient

MQL5 Programming for Traders – Source Codes from the Book. Part 6 : In Part 6 of the "MQL5 Programming for Traders", we will study a key component of the MQL5 language – trading automation. We will start with a description of the fundamental entities, such as financial instrument specifications and

Check out the new article: Introduction to MQL5 (Part 35): Mastering API and WebRequest Function in MQL5 (IX) . Welcome back to Part 35 of the Introduction to MQL5 series! In the last article we concentrated on developing the MetaTrader 5 chart's interactive control panel as the project's front

Check out the new article: DoEasy. Service functions (Part 1): Price patterns . In this article, we will start developing methods for searching for price patterns using timeseries data. A pattern has a certain set of parameters, common to any type of patterns. All data of this kind will be

Check out the new article: Market Simulation (Part 09): Sockets (III) . Today's article is a continuation of the previous one. We will look at the implementation of an Expert Advisor, focusing mainly on how the server code is executed. The code given in the previous article is not enough to make

Check out the new article: Forex arbitrage trading: Analyzing synthetic currencies movements and their mean reversion . In this article, we will examine the movements of synthetic currencies using Python and MQL5 and explore how feasible Forex arbitrage is today. We will also consider ready-made

Arbitrage Triangle EURGBP-EURUSD-GBPUSD by Peter Mueller : The EA identifies discrepancies between theoretical and actual currency exchange rates to execute risk-minimized trading opportunities. Author: Peter Mueller

Grid Master : Overview Grid Master EA is an automated trading system that implements a bidirectional grid strategy. It places multiple pending orders above and below the current market price, capturing profits from market oscillations in both directions. Author: Zbynek Liska

Check out the new article: MQL5 Trading Tools (Part 11): Correlation Matrix Dashboard (Pearson, Spearman, Kendall) with Heatmap and Standard Modes . In this article, we build a correlation matrix dashboard in MQL5 to compute asset relationships using Pearson, Spearman, and Kendall methods over a set

Check out the new article: Neural Networks in Trading: Two-Dimensional Connection Space Models (Final Part) . We continue to explore the innovative Chimera framework – a two-dimensional state-space model that uses neural network technologies to analyze multidimensional time series. This method

Raymond Cloudy Day For EA : Raymond Cloudy Day For EA, a revolutionary trading tool created by Raymond and expertly developed for the MT5 platform. This innovative indicator integrates a cutting-edge calculation method with advanced algorithms, surpassing traditional Pivot Points to enhance trading

Candlestick Body Range : Click on candlestick to see its body range value. Author: Rajesh Kumar Nait

iCrosshair - Real-Time Candle Metrics on Hover : Hover over any candle to see what MT5 doesn't show: Range size, Body percentage, Wick ratios. Smart, fast, and customizable. Author: awran5

Check out the new article: Neural Networks in Trading: Multi-Task Learning Based on the ResNeXt Model . A multi-task learning framework based on ResNeXt optimizes the analysis of financial data, taking into account its high dimensionality, nonlinearity, and time dependencies. The use of group

Viral (1M+ views) 4 Hour Range Strategy coded and tested : This EA is intended to test a popular trading strategy. My own backtest shows that this strategy does not work as it was intended Author: Peter Mueller

Check out the new article: The MQL5 Standard Library Explorer (Part 5): Multiple Signal Expert . In this session, we will build a sophisticated, multi-signal Expert Advisor using the MQL5 Standard Library. This approach allows us to seamlessly blend built-in signals with our own custom logic

Check out the new article: Reimagining Classic Strategies (Part 21): Bollinger Bands And RSI Ensemble Strategy Discovery . This article explores the development of an ensemble algorithmic trading strategy for the EURUSD market that combines the Bollinger Bands and the Relative Strength Indicator

Check out the new article: Price Action Analysis Toolkit Development (Part 54): Filtering Trends with EMA and Smoothed Price Action . This article explores a method that combines Heikin‑Ashi smoothing with EMA20 High and Low boundaries and an EMA50 trend filter to improve trade clarity and timing

Check out the new article: Python-MetaTrader 5 Strategy Tester (Part 02): Dealing with Bars, Ticks, and Overloading Built-in Functions in a Simulator . In this article, we introduce functions similar to those provided by the Python-MetaTrader 5 module, providing a simulator with a familiar interface

Price Channel Stop : A new variation of a well known price channel indicator. The indicator shows the current estimated trend based on channel period and desired risk. It also shows two levels of values that can be used as a stop loss for orders opened based on this indicator (using the trend color

Adaptive VWAP Institutional : Adaptive VWAP Institutional: Multi-Asset Auto-Detection & DST-Accurate Session Resets (Forex 5PM NY Standard). Author: awran5

Check out the new article: From Basic to Intermediate: Events (I) . Given everything that has been shown so far, I think we can now start implementing some kind of application to run some symbol directly on the chart. However, first we need to talk about a concept that can be rather confusing for

Check out the new article: Statistical Arbitrage Through Mean Reversion in Pairs Trading: Beating the Market by Math . This article describes the fundamentals of portfolio-level statistical arbitrage. Its goal is to facilitate the understanding of the principles of statistical arbitrage to readers

Check out the new article: Introduction to MQL5 (Part 34): Mastering API and WebRequest Function in MQL5 (VIII) . In this article, you will learn how to create an interactive control panel in MetaTrader 5. We cover the basics of adding input fields, action buttons, and labels to display text. Using

Check out the new article: Creating Custom Indicators in MQL5 (Part 4): Smart WaveTrend Crossover with Dual Oscillators . In this article, we develop a custom indicator in MQL5 called Smart WaveTrend Crossover, utilizing dual WaveTrend oscillators—one for generating crossover signals and another for

Check out the new article: Market Simulation (Part 08): Sockets (II) . How about creating something practical using sockets? In today's article, we'll start creating a mini-chat. Let's look together at how this is done - it will be very interesting. Please note that the code provided here is for

Check out the new article: Neural Networks in Trading: Two-Dimensional Connection Space Models (Chimera) . In this article, we will explore the innovative Chimera framework: a two-dimensional state-space model that uses neural networks to analyze multivariate time series. This method offers high

Check out the new article: Larry Williams Market Secrets (Part 3): Proving Non-Random Market Behavior with MQL5 . Explore whether financial markets are truly random by recreating Larry Williams’ market behavior experiments using MQL5. This article demonstrates how simple price-action tests can

Check out the new article: Sigma Score Indicator for MetaTrader 5: A Simple Statistical Anomaly Detector . Build a practical MetaTrader 5 “Sigma Score” indicator from scratch and learn what it really measures: The z-score of log returns (how many standard deviations the latest move is from the

Check out the new article: Neuroboids Optimization Algorithm (NOA) . A new bioinspired optimization metaheuristic, NOA (Neuroboids Optimization Algorithm), combines the principles of collective intelligence and neural networks. Unlike conventional methods, the algorithm uses a population of