Articles, Library comments - page 2

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

HTF_Reversal_Divergences : A multi_timeframe indicator which features RSI divergence. + Buy/Sell signals Inspired from trading view. Author: Hammad Dilber

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

L1 Trend Filter Demo : The script shows the usage of L1 Trend Filter methods in MQL5 for float and double vectors on random walk simulated data. Author: Quantum

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

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

OHLCMTF Scalper EA - Multi-Timeframe Price Action : A strict Multi-Timeframe Price Action Expert Advisor that trades based on precise OHLC conditions across different timeframes simultaneously. It features pending order entries, role reversals, and dynamic risk management without using any lagging

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

XANDER Adaptive Cross : Two adaptive moving averages that read the market differently. Crossovers signal trend shifts. Author: Cristhian Alexander Gaibor Cuasquer

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

Easy Range Breakout EA - MT5 : This EA implements a range breakout trading strategy. It calculates a price range between start and end times defined by the user, draws a visual rectangle on the chart to mark the high and low of that range, and then monitors price action after the range closes. If

Institutional GARCH(1,1) Volatility Forecaster : A predictive quantitative engine that replaces lagging retail ATR, it utilizes the Nobel-prize-winning GARCH(1,1) econometric model to mathematically forecast future market volatility and variance. Author: Amanda Vitoria De Paula Pereira

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