Articles, Library comments - page 26

Institutional Kinematic Price Physics (Velocity and Acceleration) : A quantitative physics engine that applies differential calculus to price action, extracting true Market Velocity (1st Derivative) and Market Acceleration (2nd Derivative) to predict trend exhaustion before it happens. Author

Check out the new article: From Matrices to Models: How to Build an ML Pipeline in MQL5 and Export It to ONNX . The article describes the arrangement of a coordinated ML pipeline in MetaTrader 5 with separation of roles: Python trains and exports the model to ONNX, MQL5 reproduces normalization and

Check out the new article: Creating an EMA Crossover Forward Simulation Indicator in MQL5 . A custom forward simulation engine detects fast/slow EMA crossovers and immediately projects synthetic candles ahead of the signal bar. It generates bodies and wicks using controlled logic, draws them with

Check out the new article: Twitter Sentiment Analysis with Sockets . This innovative trading bot integrates MetaTrader 5 with Python to leverage real-time social media sentiment analysis for automated trading decisions. By analyzing Twitter sentiment related to specific financial instruments, the

Check out the new article: Gaussian Processes in Machine Learning: Regression Model in MQL5 . We will review the basics of Gaussian processes (GP) as a probabilistic machine learning model and demonstrate its application to regression problems using synthetic data. Gaussian processes (GPs) are a

Check out the new article: Feature Engineering for ML (Part 3): Session-Aware Time Features for Forex Machine Learning . The article addresses the loss of temporal information in ML pipelines by encoding periodic time variables with Fourier harmonics and adding forex session structure. It implements

Check out the new article: MQL5 Trading Tools (Part 17): Exploring Vector-Based Rounded Rectangles and Triangles . In this article, we explore vector-based methods for drawing rounded rectangles and triangles in MQL5 using canvas, with supersampling for anti-aliased rendering. We implement scanline

Inside Bar : Automatically detect Inside Bar patterns, draw projection rectangles, and receive real‑time alerts – all in one powerful indicator. Swing And Full Margin trader Author: reza rahmad

Check out the new article: Building a Liquidity Spectrum Volume Profile Indicator in MQL5 . Build a Liquidity Spectrum Volume Profile in MQL5 that allocates volume to equal price bins over a chosen lookback using candle close prices. The guide covers data retrieval with copy functions, binning and

Check out the new article: Exploring Conformal Forecasting of Financial Time Series . In this article, we will consider conformal predictions and the MAPIE library that implements them. This approach is one of the most modern ones in machine learning and allows us to focus on risk management for

Check out the new article: Adaptive Malaysian Engulfing Indicator (Part 1): Pattern Detection and Retest Validation . Implement the Malaysian Engulfing concept in MQL5 with two coordinated indicators. One applies strict, body‑based engulfing rules for precise pattern detection; the other uses a

Institutional Kalman Filter (Dynamic True Price Estimator) : An aerospace-grade state estimation algorithm that dynamically filters out market noise and manipulation wicks to reveal the true underlying execution price with zero static phase-lag. Author: Amanda Vitoria De Paula Pereira

Check out the new article: From Novice to Expert: Creating an MTF CRT Overlay Indicator in MQL5 . Higher-timeframe CRT ranges are informative, yet traders often execute on lower timeframes without that context. We implement an MQL5 indicator that reads higher-timeframe OHLC, projects the full candle

New article Learn how to design a trading system by Ichimoku has been published: Here is a new article in our series about how to design a trading system b the most popular indicators, we will talk about the Ichimoku indicator in detail and how to design a trading system by this indicator. In this

New article Creating a comprehensive Owl trading strategy has been published: My strategy is based on the classic trading fundamentals and the refinement of indicators that are widely used in all types of markets. This is a ready-made tool allowing you to follow the proposed new profitable trading

Check out the new article: Creating a Custom Tick Chart in MQL5 . Learn how to implement a tick-based chart in MQL5 where each bar is built from a fixed number of ticks instead of time. The article covers creating and configuring a custom symbol, capturing real-time ticks, forming OHLC values, and

Check out the new article: The MQL5 Standard Library Explorer (Part 11): How to Build a Matrix-Based Market Structure Indicator in MQL5 . Learn to engineer an MQL5 indicator that converts trend, momentum, and volatility into a single raw score using a matrix.mqh (ALGLIB). The article covers a

Check out the new article: Event-Driven Architecture in MQL5: How to Turn an Expert Advisor into a Full-Fledged Trading System . The article is dedicated to the event-driven architecture in MQL5 and describes the transition from the monolithic OnTick model to distributed processing. We will consider

Check out the new article: MetaTrader 5 and the MQL5 Economic Calendar: How to Turn News into a Reproducible Trading System . The article presents a systematic approach to news trading in MetaTrader 5 using the built-in economic calendar: data structure, API functions, time synchronization rules

Period Converter Mod : An analogue of Period Converter in MT4 Author: Aleksandr Slavskii

New article Exploring Trading Strategy Classes of the Standard Library - Customizing Strategies is published: This article is intended for novice/beginner users who want to approach some kind of customization with functionality and without writing an EA from scratch. In MetaTrader 5 we have a great

XANDER Pulse Candles : Color your candles by momentum state. Four bias levels + neutral — built for dark charts. Author: Cristhian Alexander Gaibor Cuasquer

Breakout Rhonchus PRO : Breakout Rhonchus PRO is a professional non-repaint MT4 indicator designed to detect high-probability breakout momentum opportunities using EMA Tunnel analysis, EMA200 trend filtering, CCI momentum confirmation, and ATR volatility filtering. Author: Ilham Hijrah Saputra

Check out the new article: Foundation Models in Trading: Time Series Forecasting with Google's TimesFM 2.5 in MetaTrader 5 . Time series forecasting in trading has evolved from traditional statistical models (like ARIMA) to deep learning approaches, but both require heavy tuning and training

ZigZag Fibo : Original ZigZag MT4 with added automatic fibonacci Author: Cahyo Hadi Prasetyo

Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 14): Transaction Cost Modeling for Triple-Barrier Labels in MQL5 . The article replaces hardcoded cost assumptions in triple-barrier labeling with measured inputs. An MQL5 script captures spread distribution, swap rates, and

Check out the new article: MQL5 Trading Tools (Part 30): Class-Based Tool Palette Sidebar . We refactor the Tools Palette from a flat, function-based panel into a modular, class-driven sidebar in MQL5. The design introduces supersampled canvas rendering for anti-aliased shapes, theme control, a

Check out the new article: Market Microstructure in MQL5: Robust Foundation (Part 1) . This article builds the foundation layer of a twelve-part MQL5 market microstructure toolkit. It implements guarded math helpers (SafeDivide, SafeLog, SafeSqrt, SafeExp, SafeTanh), robust data validation

Check out the new article: Three MACD Filters on US_TECH100: Five Years of Broker Data . This article tests three common filters on a standard MACD crossover for US_TECH100 H1 using five years of broker-native data. Filters are layered incrementally: regime, higher timeframe (HTF) alignment, and US

Check out the new article: Engineering Trading Discipline into Code (Part 5): Account-Level Risk Enforcement in MQL5 . We introduce an MQL5 discipline engine that enforces risk consistently at the account level. It continuously scans positions from any source, validates SL/TP, equity-based exposure