Articles, Library comments - page 26

XANDER Gold Recovery : Keltner Channel strategy for XAUUSD with optional Progressive Recovery System and basket level risk control. Source code for educational purposes. Author: Cristhian Alexander Gaibor Cuasquer

Check out the new article: Price Action Analysis Toolkit Development (Part 33): Candle Range Theory Tool . Upgrade your market reading with the Candle-Range Theory suite for MetaTrader 5, a fully MQL5-native solution that converts raw price bars into real-time volatility intelligence. The

Check out the new article: Price Action Analysis Toolkit Development (Part 66): Developing a Structured Head and Shoulders Scanner in MQL5 . Head and Shoulders patterns are difficult to identify consistently in live market data due to noise and structural ambiguity. This article presents a

Check out the new article: Building a Trade Analytics System (Part 1): Foundation and System Architecture . We design a simple external trade analytics pipeline for MetaTrader 5 and implement its backend in Python with Flask and SQLite. The article defines the architecture, data model, and versioned

CCI (mimic) : CCI (mimic) Author: Mladen Rakic

Check out the new article: Integrating Computer Vision into Trading in MQL5 (Part 2): Extending the Architecture to 2D RGB Image Analysis . Computer vision for trading: how it works and how to develop it step by step. We create an algorithm for recognition of RGB images of price charts using the

BGC Grid EA : Regime-adaptive grid EA with three operating modes (BGT/TGT/MGT), ATR-dynamic spacing, CUSUM change-point detection, equity-based cycle management, and a full CSV diagnostics pipeline. Based on the Bi-Directional Grid Constrained (BGC) stochastic process research by Taranto & Khan

Fibonacci Confluence Zone Finder - Multi-Swing Clusters : Draws Fibonacci from multiple swing points and finds overlap zones where multiple Fib levels cluster. Confluence zones are dramatically stronger than single levels. Author: Kestutis Balciunas

Check out the new article: Camel Algorithm (CA) . The Camel Algorithm, developed in 2016, simulates the behavior of camels in the desert to solve optimization problems, taking into account temperature, supply, and endurance. This article also presents a modified version of the algorithm (CAm) with

Daily Risk Monitor Lite : Daily Risk Monitor Lite is a lightweight MetaTrader 5 indicator that displays daily realized P/L, floating P/L, daily total, current drawdown, and color-based risk status directly on the chart. It is a read-only monitoring tool and does not close trades or block trading

Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 11): Kelly Criterion, Prop Firm Integration, and CPCV Dynamic Backtesting . The bet-sizing signal from Part 10 is concurrency-corrected but carries no payoff-ratio adjustment, no response to a hard drawdown budget, and no

Check out the new article: Hilbert-Schmidt Independence Criterion (HSIC) . The article discusses the non-parametric HSIC (Hilbert-Schmidt Independence Criterion) statistical test designed to identify linear and non-linear dependencies in data. Implementations of two algorithms for calculating HSIC

Check out the new article: Automating Market Entropy Indicator: Trading System Based on Information Theory . This article presents an EA that automates the previously introduced Market Entropy methodology. It computes fast and slow entropy, momentum, and compression states, validates signals, and

Check out the new article: Account Audit System in MQL5 (Part 1): Designing the User Interface . This article builds the user interface layer of an Account Audit System in MQL5 using CChartObject classes. We construct an on-chart dashboard that displays key metrics such as start/end balance, net

Check out the new article: Overcoming Accessibility Problems in MQL5 Trading Tools (Part III): Bidirectional Speech Communication Between a Trader and an Expert Advisor . Build a local, bidirectional voice interface for MetaTrader 5 using MQL5 WebRequest and two Python services. The article

Check out the new article: Hidden Markov Models in Machine Learning-Based Trading Systems . Hidden Markov Models (HMMs) are a powerful class of probabilistic models designed to analyze sequential data, where observed events depend on some sequence of unobserved (hidden) states that form a Markov

New article Creating Expert Advisors Using Expert Advisor Visual Wizard is published: Expert Advisor Visual Wizard for MetaTrader 5 provides a highly intuitive graphical environment with a comprehensive set of predefined trading blocks that let you design Expert Advisors in minutes. The click, drag

Check out the new article: Pair Trading: Algorithmic Trading with Auto Optimization Based on Z-Score Differences . In this article, we will explore what pair trading is and how correlation trading works. We will also create an EA for automating pair trading and add the ability to automatically

Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 1): Data Leakage and Timestamp Fixes . Before we can even begin to make use of ML in our trading on MetaTrader 5, it’s crucial to address one of the most overlooked pitfalls—data leakage. This article unpacks how data leakage

Check out the new article: Using the MQL5 Economic Calendar for News Filtering (Part 1): Implementing Pre- and Post-News Windows in MQL5 . We build a calendar‑driven news filter entirely in MQL5, avoiding web requests and external DLLs. Part 1 covers loading and caching events, mapping them to

Check out the new article: Using the MQL5 Economic Calendar for News Filtering (Part 2): Stop Management Positions During News Releases . In part 2, we extend the news filter to protect existing positions during news events. Instead of closing trades, we temporarily remove stop-loss and take-profit

Keltner Channel + Breakout Signal : Keltner Channel + Breakout Signal Author: namakulabu

Check out the new article: Unified Validation Pipeline Against Backtest Overfitting . This article explains why standard walkforward and k-fold CV inflate results on financial data, then shows how to fix it. V-in-V enforces strict data partitions and anchored walkforward across windows, CPCV purges

Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 2): Labeling Financial Data for Machine Learning . In this second installment of the MetaTrader 5 Machine Learning Blueprint series, you’ll discover why simple labels can lead your models astray—and how to apply advanced

Market Clock Pro : Candle countdown HUD with trading sessions (UTC), live spread and anomaly detection, daily range vs ADR, and market-closed state with reason (holiday / weekend / session). Holidays calendar included for seven major markets. Author: Marcelo Alejandro Borasi

ASQ Session Manager : Institutional-grade forex session detection and analysis library for MetaTrader 5. Author: Muharrem Rogova

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

Smart Trend Follower : This EA is designed to automatically follow market trends using signals from the Moving Average and Stochastic Oscillator indicators. The EA detects buy and sell signals by utilizing MA crossovers and confirms the trend with Stochastic. Additionally, the EA includes automatic

Check out the new article: Fractal-Based Algorithm (FBA) . The article presents a new metaheuristic method based on a fractal approach to partitioning the search space for solving optimization problems. The algorithm sequentially identifies and separates promising areas, creating a self-similar

Basket Manager EA : This EA is meant to impose a few rules to manage baskets. Author: Yashar Seyyedin