Articles, Library comments - page 10

HLPeak_Trend : High/Low Peak Trend Author: Elmo Ferrera

ExMachina SafeScalping : ExMachina Safe Scalping is a professional-grade Expert Advisor built for conservative breakout scalping on Gold (XAUUSD), Silver (XAGUSD), and Forex majors. Author: William Jefferson Mukam Tatsinke

Check out the new article: Creating a Traditional Renko Overlay Indicator in MQL5 . Create a traditional Renko indicator in MQL5 that converts candlestick closing prices into fixed-size blocks displayed on the main chart. We calculate the movement from the closing price of the last block, create new

Check out the new article: Markov Chain-Based Matrix Forecasting Model . We are going to create a matrix forecasting model based on a Markov chain. What are Markov chains, and how can we use a Markov chain for Forex trading? Andrey Markov, a prominent mathematician of the early 20th century, while

Check out the new article: How to Detect Round-Number Liquidity in MQL5 . The article presents an MQL5 method for detecting psychological round numbers by converting prices to strings and counting trailing zeros (ZeroSize). It outlines the theory of institutional liquidity at integers, explains the

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

Check out the new article: Larry Williams Market Secrets (Part 11): Detecting Smash Day Reversals with a Custom Indicator . We convert Larry Williams’ Smash Day reversal rules into a practical MQL5 indicator that flags confirmed setups with arrows. Step by step, the text shows buffer binding, plot

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: MQL5 Trading Tools (Part 27): Rendering Parametric Butterfly Curve on Canvas . In this article, we explore the butterfly curve, a parametric mathematical equation, and render it visually on a MQL5 canvas. We build an interactive display with a draggable, resizable canvas

Check out the new article: Applying L1 Trend Filtering in MetaTrader 5 . This article explores the practical application of L1 trend filtering in MetaTrader 5, covering both its mathematical foundations and usage in MQL5 programs. The L1 filter enables extraction of piecewise-linear trends that

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