Articles, Library comments - page 26

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 —

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

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

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

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

Check out the new article: Neural Networks in Trading: Time Series Forecasting Using Adaptive Modal Decomposition (ACEFormer) . We invite you to explore the ACEFormer architecture — a modern solution that combines the effectiveness of probabilistic attention with adaptive time series decomposition

Shved Supply and Demand - indicator for MetaTrader 5 - Multi Timeframe Version : This is MQL5 version of Shved Supply and Demand indicator written by Shved and upgraded by eevviill7 from this link. Subsequently Mr. Behzad Movaghar added other functionalities to this link. This version of the

Check out the new article: Beyond Maximum Drawdown: Building a Drawdown DNA Analyzer in MQL5 . Maximum drawdown is one number that hides what really matters: how often an equity curve declines, how long it stays below a previous peak, and how quickly it recovers. This article builds a native MQL5

Check out the new article: Building Volatility Models in MQL5 (Part IV): Implementing Long Memory Volatility Processes, FIGARCH, and HARCH . The article delivers MQL5 implementations of FIGARCH and HARCH and updates the volatility library for long‑memory processes. It provides code for Hurst and GPH

Check out the new article: The Power of MetaTrader 5: From Step-by-Step Debugging to EX5 Protection in a Unified Environment . This article examines a comprehensive approach to developing trading algorithms: from project setup and logic debugging to protecting the finished product. We will explore

Binary DOT Signal 60 second expired : Binary Option Signal Author: Denis Adha

Machine Learning Supertrend : A machine-learning inspired approach towards trending regimes. Providing accurate signals and backtest confidence built-in Author: Hammad Dilber

New article MQL5.community - User Memo is published: In this article we have prepared some hands-on tips that will help you to get accustomed in MQL5.community and to take full advantage of it's available features. Author: MetaQuotes Software Corp

Check out the new article: Dream Optimization Algorithm (DOA) . A population-based optimization algorithm inspired by a controversial and little-studied phenomenon - the mechanism of human dreams. Agent groups with different "memory", cosine-wave modulation of motion, and an unusual 99/1 phase

Check out the new article: Building an Internal and External Market Structure Indicator . The article presents a structured approach to external and internal market structure in MQL5, from swing identification to CHoCH/BoS validation within an established trend. It explains refining true highs/lows

Check out the new article: Creating an EMA Crossover Forward Simulation (Culmination): Interactive Synthetic Candles . This article finalizes the Forward Simulation Engine for MetaTrader 5 by calibrating synthetic candles to recent market volatility instead of using slope-only sizing. It samples

Check out the new article: Automatic Session Volume Profile Builder in MQL5: Rendering POC and Value Area Without Third-Party Tools . Implement a session-focused volume profile in MQL5: acquire ticks with CopyTicksRange(), bin prices, and compute POC, VAH, and VAL by the 70% approach. The indicator

Trade Journal Exporter - closed positions to CSV : Exports your closed positions for a configurable period to a CSV file for journal analysis in Excel or Google Sheets: entry and exit time and price (volume-weighted over partial fills), volume, result in points, commission, swap, net profit and