Articles, Library comments - page 2

Check out the new article: From Novice to Expert: Developing a Liquidity Strategy . Liquidity zones are commonly traded by waiting for the price to return and retest the zone of interest, often through the placement of pending orders within these areas. In this article, we leverage MQL5 to bring

Check out the new article: Position Management: A Reusable Trade Journal with Live Maximum Adverse Excursion, Maximum Favorable Excursion, and R-Multiple Tracking in MQL5 . This article presents CTradeJournal, a self-contained MQL5 class for live tracking of open positions at tick frequency. It

Check out the new article: Quantum Neural Network in MQL5 (Part I): Creating the Include File . The article presents a new approach to creating trading systems based on quantum principles and artificial intelligence. The author describes the development of a unique neural network that goes beyond

Check out the new article: MQL5 Wizard Techniques you should know (Part 94): Using Reservoir Sampling and Linear Regression in a Custom Trailing Stop Class . For this article we rotate to a custom MQL5 Wizard class implementation that explores Trailing Stops. Our custom class is

Check out the new article: Step-by-Step Implementation of a Local Stop Loss System in MQL5 . This article shows how to build a local stop-loss system in an MQL5 Expert Advisor that keeps stop levels on the terminal side. It walks through the execution logic, event handlers, inputs, and an OOP design

Check out the new article: CSV Data Analysis (Part 2): Building a Production-Grade CSV Export and Parsing Pipeline for Quantitative Strategy Analysis . MQL5's file system operates within a strict sandbox. Understanding its access flags and path resolution rules is the foundation of any reliable

Check out the new article: CSV Data Analysis (Part 1): CSV Export Engine for MQL5 Multi-Core Optimizations . Multi-core optimization in MetaTrader 5 can silently drop results when parallel agents contend for the same CSV file. A reusable MQL5 export engine applies an iteration-based spin-lock to

Check out the new article: MQL5 Custom Symbols: Creating a 3D Bars Symbol . The article provides a detailed guide to creating the innovative 3DBarCustomSymbol.mq5 indicator, which generates custom symbols in MetaTrader 5 that combine price, time, volume, and volatility into a single

BestInterval : The library for calculating the best trading interval. Author: fxsaber

Check out the new article: Exploring Regression Models for Causal Inference and Trading . The article explores the possibility of using regression models in algorithmic trading. Regression models, unlike binary classification, allow for the creation of more flexible trading strategies by quantifying

Geometric signal validation for indicator signals : A state engine to provide geometric signal validation for indicator signals Author: Conor Mcnamara

Check out the new article: Recurrence Network Analysis (RNA) in MQL5: From Recurrence Matrices to Complex Networks . The article extends the MQL5 recurrence library to Recurrence Network Analysis (RNA) by treating recurrence matrices as adjacency matrices of undirected graphs. It implements core

Check out the new article: How to Detect and Normalize Chart Objects in MQL5 (Part 2): Collecting and Structuring Data from Complex Analytical Objects . Manually drawn analytical object tools like Fibonacci tools, and Andrews Pitchforks are invisible to automated trading logic. This article extends

Check out the new article: MQL5 Trading Tools (Part 35): Adding Channel, Pitchfork, Gann, and Fibonacci Tools to the Canvas Drawing Layer . We extend the canvas drawing layer from the previous part with seven new categories of multi-anchor analytical drawing tools, covering three channel variants

Check out the new article: Feature Engineering for ML (Part 5): Microstructural Features in Python . This article implements the Chapter 19 microstructure suite in afml.features.microstructure and explains a two-layer design for OHLCV-only and tick-augmented workflows. We cover Roll and

Stochastic Moving Average : This indicator is an implementation of Stochastic of Moving Average. This indicator can be used as a filter indicator. It can be associated with my free indicator "HLPeak_Trend". Author: Elmo Ferrera

Perfect Seconds Chart : Perfect Seconds chart indicator allows you to convert minute candles of live data into seconds. 1. Choose any number of seconds to close a bar with accurate time. 2. This is Live OHLC rates based data, It works even if ticks are not available. 3. No external DLL required, it

Multi Forex Scanner MT5 : Instead of having to analyze each pair individually, you can see at a glance what are the most promising pairs according to your own criteria. Author: Carlos Oliveira

MSNR v5.31Plus AEU EA : MSNR v5.31Plus AEU EA is an Expert Advisor for MetaTrader 5 based on Malaysian SNR body levels, Smart Money reaction logic, liquidity sweep, MISS, engulfing confirmation, trendline confluence, QML, CRT and DOL target projection. The EA is designed for XAUUSD and works best on

Check out the new article: Moving to MQL5 Algo Forge (Part 1): Creating the Main Repository . When working on projects in MetaEditor, developers often face the need to manage code versions. MetaQuotes recently announced migration to GIT and the launch of MQL5 Algo Forge with code versioning and

Check out the new article: Engineering Trading Discipline into Code (Part 7): Automating Equity Protection Through Governance Logic . Automated trading systems often focus heavily on signal generation while neglecting the mechanisms required to protect capital during periods of stress. This article

Check out the new article: Python-MetaTrader 5 Strategy Tester (Part 01): Trade Simulator . The MetaTrader 5 module offered in Python provides a convenient way of opening trades in the MetaTrader 5 app using Python, but it has a huge problem, it doesn't have the strategy tester capability present in

Check out the new article: Neural Networks in Trading: Hierarchical Skill Discovery for Adaptive Agent Behavior (HiSSD) . In this article, we explore the HiSSD framework, which combines hierarchical learning and multi-agent approaches to create adaptive systems. We examine in detail how this

Institutional Shannon Entropy (Predictability Index) : A quantitative Information Theory engine that calculates the Shannon Entropy of price distribution to mathematically measure market randomness and algorithmic predictability. Author: Amanda Vitoria De Paula Pereira

Check out the new article: Beyond GARCH (Part V): Fitting the Multifractal Spectrum in MQL5 . This article builds the Spectrum Fitter: from tau(q) we compute f(alpha) with a discrete Legendre transform, then fit Normal, Binomial, Poisson, and Gamma spectra under box constraints using BLEIC. The best

Check out the new article: Carry Trade Logic in MQL5: Building an EA That Factors Swap Rates Into Position Sizing and Holding Decisions . Most retail traders ignore overnight swap rates, but for long-term positions, these interest payments can make or break your strategy. This article shows you how

Check out the new article: Exchange Market Algorithm (EMA) . The article presents a detailed analysis of the Exchange Market Algorithm (EMA) inspired by the behavior of stock market traders. The algorithm simulates stock trading, where market participants with varying levels of success employ

Volume Average : Long known volume analysis method. In capital markets, volume, or trading volume, is the amount (total number) of a security (or a given set of securities, or an entire market) that was traded during a given period of time. In the context of a single stock trading on a stock

fair value gap/imbalance : Dynamic Fair Value Gap (FVG) is an MQL5 indicator for MetaTrader 5 that automatically detects market price imbalances. This indicator is perfectly suited for traders utilizing the Smart Money Concepts (SMC) strategy. Author: reza rahmad

Check out the new article: Developing a Multi-Currency Expert Advisor (Part 28): Adding a Position Closing Manager . When running multiple strategies in parallel, you may want to periodically close all open positions and start the strategies over again. The existing code only allows this behavior to