Articles, Library comments - page 3

Check out the new article: From Basic to Intermediate: Object Events (III) . In this article, we will prepare the foundation for what will be covered in the next publication. We will also look at how to make an OBJ_LABEL object fully interactive for editing and moving. In other words, we can change

Check out the new article: Detecting and Visualizing Outlier Bars in MQL5 Using Modified Z-Score on OHLCV Features . Abnormal bars inflate mean and standard deviation estimates, distorting ATR, Bollinger Bands, and moving averages. We implement a native MQL5 indicator that detects such bars with the

Check out the new article: Introduction to MQL5 (Part 23): Automating Opening Range Breakout Strategy . This article explores how to build an Opening Range Breakout (ORB) Expert Advisor in MQL5. It explains how the EA identifies breakouts from the market’s initial range and opens trades accordingly

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

Check out the new article: Engineering a Self-Healing Expert Advisor in MQL5 (Part 5): Real-Time Recovery Dashboard (Final Part) . This article implements a real-time monitoring dashboard for a self-healing MetaTrader 5 Expert Advisor. The dashboard displays the current EA state, virtual stop-loss

Check out the new article: Building Automated Daily Trading Reports with the SendMail Function . We build an MQL5 Expert Advisor that emails a structured daily trading report. The article shows how to configure SMTP in MetaTrader 5, collect and filter closed trades for the previous day, compute

Check out the new article: CSV Data Analysis (Part 6): Multi-Broker Result Normalization and Cross-Platform CSV Reconciliation . This article presents a multi‑broker CSV normalization framework. An MQL5 include file enriches exports with broker metadata. A Python module resolves schema divergences —

New article New Article Publishing System at the MQL5.community is published: We present you a new article publishing system at the MQL5.community. In the new system, we have tried to make the whole process of article writing clear and comfortable by breaking it into several steps. At each step we

New article How to Test a Trading Robot Before Buying it from MQL5 Market is published: MQL5 Market allows you to test a trading robot and its features before buying it. Every Expert Advisor offered in MQL5 Market comes with a demo version that can be tested in the Strategy Tester . It is quite

Simple EMA Cross EA with SL/TP and Magic Number : A simple Expert Advisor based on the crossover of two EMAs (fast and slow), with configurable Stop Loss, Take Profit, lot size, and Magic Number. Author: Edgar Alexis Benitez

Sample check pending order : Check exists pending order prevent duplicate create pending order Author: Mr Anucha Maneeyotin

Woodies CCI : Woodies CCI is a momentum indicator that was developed by Ken Woods. It's based on a 14 period Commodity Channel Index (CCI). It's a fully unbounded oscillator with a base value of 0 and has no lower or upper limit. Some traders use the indicator to spot a number of tradable CCI

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: Automating Classic Market Methods in MQL5 (Part 3): Stan Weinstein Stage Analysis . This article presents a complete Expert Advisor built around Stan Weinstein's Stage Analysis method. The EA classifies the market into one of four stages using the 30-week moving average

Check out the new article: Feature Engineering for ML (Part 10): Structural Break Tests in MQL5 . We port AFML Chapter 17 structural break tests to MQL5 as a single include, CStructuralBreaks, delivering six bar-indexed features for EAs: CSW statistic and critical value, Chow-Type DFC, SADF with a

High-Performance Time Functions (TimeUtils) : High-performmance functions for dealing with time. Author: amrali

Check out the new article: Launching MetaTrader VPS: A step-by-step guide for first-time users . Everyone who uses trading robots or signal subscriptions sooner or later recognizes the need to rent a reliable 24/7 hosting server for their trading platform. We recommend using MetaTrader VPS for

Stochastic Protector : This Expert Advisor monitors the Stochastic oscillator to automatically close positions based on user-selected conditions: crossovers above overbought or below oversold, entry into overbought/oversold zones, or exit from those zones. Positions are filtered for closure by

Check out the new article: 3D Visualization Without External Libraries: How MetaTrader 5 Reveals Optimization Results via MQL5 + DX11 . The article describes the practical application of DirectX 11 and built-in MQL5 tools for creating 3D visualizations and interactive interfaces in MetaTrader 5. The

XANDER Grid XAUUSD : Bidirectional grid EA for Gold (XAUUSD). Ideal for ProCent accounts. Includes Daily Profit Target and Max Drawdown protection. Author: Cristhian Alexander Gaibor Cuasquer

Cost and Slippage Sensitivity Analyzer : A pure-MQL5 script that measures how robust a strategy's edge is to execution costs. It reads a Date,Profit,Volume CSV of closing deals and models each deal's cost as a fixed part plus a per-lot part. It prints the breakeven cost per deal, the cushion (the

Check out the new article: Automating Trading Strategies in MQL5 (Part 49): The Quasimodo (QM) Reversal Pattern . In this article, we build an automated trading program in MQL5 that detects the Quasimodo reversal pattern from a zig-zag of confirmed swing pivots. We work through swing detection

BBandsPsar : BBandsPsar is a custom hybrid indicator that fuses Bollinger Bands’ volatility framework with the Parabolic SAR’s trend-following logic. By integrating these two methodologies, it effectively reconciles market volatility with emerging trend dynamics within a single, cohesive tool

KCI Standard: A Pure Kinematic Computing Engine for Market Singularity Detection : The Kinetic Compression Index (KCI) Standard is a high-performance, purely mathematical oscillator designed to detect extreme market exhaustion and volumetric compression points known as "Singularities." By abandoning

Previous Day highs and lows : Draws the previous day High, Low, and Close as horizontal reference lines on the chart for a configurable number of past days. Yesterday's levels extend into today as live support and resistance, with optional touch alerts. Author: 59848

Profit Concentration Analyzer : A native MQL5 script that measures how concentrated a strategy's profit is — whether the edge is broad or rests on a few lucky trades. It reads a per-trade CSV (Date,Profit) and reports the share of net profit from the largest trades, the Gini coefficient of the

Check out the new article: Training a nonlinear U-Transformer on the residuals of a linear autoregressive model . The article presents an innovative hybrid system for forecasting exchange rates that combines a linear autoregressive model with a U-Transformer architecture for residual analysis. The

Check out the new article: MQL5 Trading Tools (Part 31): Creating an Interactive Tools Palette in MQL5 . We turn the Tools Palette sidebar from a static shell into an interactive MQL5 system. The article implements flyout menus per category, a chart event handler, a multi-click drawing engine (one-

Check out the new article: Building a Viewport SnR Volume Profile Indicator in MQL5 . We build a Support and Resistance Volume Profile indicator that adapts to the current viewport in MetaTrader 5. You will learn viewport detection, dynamic SnR identification, zoom‑driven bin sizing, min‑max volume

Check out the new article: Feature Engineering for ML (Part 9): Structural Break Tests in Python . We present a production‑ready implementation of AFML Chapter 17 structural break tests. The module includes Chu-Stinchcombe-White (one-/two-sided), Chow-type DFC, SADF across six models (linear