Articles, Library comments - page 3

ASQ Indicator Manager : Centralized indicator handle management library for MetaTrader 5 EAs. Author: Muharrem Rogova
New article MetaTrader 5 on macOS is published: We provide a special installer for the MetaTrader 5 trading platform on macOS. It is a full-fledged wizard that allows you to install the application natively. The installer performs all the required steps: it identifies your system, downloads and
New article How to Order a Trading Robot in MQL5 and MQL4 is published: With the launch of the "Jobs" service, the MQL5.community became an ideal place for placing orders and providing programming services. Thousands of traders and developers visit this resource on a daily basis, and can easily help
Pivot point : Line to change direction Author: namakulabu
BarStats Indicator – Lightweight, EA-friendly MT5 Tool : MT5 indicator showing bar index, price difference in points, and percentage change. Ideal for EA integration and fast analysis. Author: Yang Yu Qun
Stealth Trade Manager (Hidden SL/TP and Spread Protector) : A professional trade management utility that completely hides your Stop Loss and Take Profit levels from brokers. It features a Spread Protector to prevent virtual stop-outs during news events or daily rollovers. Author: Amanda Vitoria De
ASQ NeuralNet Pure MQL5 Neural Network Library : Complete deep learning library in pure MQL5. Build, train and deploy neural networks natively in MetaTrader 5. No DLLs, no Python, no external APIs. Author: Muharrem Rogova
Check out the new article: Python-MetaTrader 5 Strategy Tester (Part 05): Multi-Symbols and Timeframes Strategy Tester . This article presents a MetaTrader 5–compatible backtesting workflow that scales across symbols and timeframes. We use HistoryManager to parallelize data collection, synchronize
Fair Value Gap FVG MT5 : Detects and draws Fair Value Gaps (price imbalances) on your chart — a core concept in ICT/Smart Money methodology. Tracks when price returns to fill the gap. Author: Kestutis Balciunas
Check out the new article: Market Simulation (Part 20): First steps in SQL (III) . Although we can perform operations on a database containing about 10 records, the material is absorbed much better when we work with a file that contains more than 15 thousand records. That is, if we tried to create
Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 10): Bet Sizing for Financial Machine Learning . Fixed fractions and raw probabilities misallocate risk under overlapping labels and induce overtrading. This article delivers four AFML-compliant sizers: probability-based
Monitoring Spread : Tools for monitoring spread of currency pairs Author: Alexey Sergeev
Check out the new article: Employing Game Theory Approaches in Trading Algorithms . We are creating an adaptive self-learning trading expert advisor based on DQN machine learning, with multidimensional causal inference. The EA will successfully trade simultaneously on 7 currency pairs. And agents of
Check out the new article: Market Simulation (Part 19): First Steps in SQL (II) . As we explained in the first article about SQL, there is no point in spending time programming procedures to do what is already built into SQL. However, without knowing the basics, you won’t be able to do anything with
BinanceQuotesDownloader : Real-time display of Binance quotes Author: Yuriy Lyachshenko
Institutional Kelly-VAPS Risk Engine (Library) : An object-oriented MQL5 library (.mqh) that replaces static retail risk models with institutional Volatility-Adjusted Position Sizing (VAPS) and Kelly Criterion mathematics. Author: Amanda Vitoria De Paula Pereira
Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 9): Integrating Bayesian HPO into the Production Pipeline . ​ This article integrates the Optuna hyperparameter optimization (HPO) backend into a unified ModelDevelopmentPipeline. It adds joint tuning of model hyperparameters
Check out the new article: From Basic to Intermediate: Inheritance . No doubt, this article will require a significant amount of your time to understand how and why the materials described here work. This is because everything that will be shown here is initially oriented toward object-oriented
Check out the new article: Market Simulation (Part 18): First Steps in SQL (I) . It doesn't matter which SQL program we use: MySQL, SQL Server, SQLite, OpenSQL, or another. They all have something in common, and that common element is the SQL language. Even if we do not intend to use WorkBench, we
Stoch_Cross : Stoch_Cross monitors the %K and %D lines of the Stochastic Oscillator and provides instant confirmation when a bullish or bearish crossover occurs in the zone. Author: Lubexbill Semi
New interview Johnpaul77 Signal Providers: "Our Strategy Remains Profitable for More Than Three Years Now. So Why Would We Change It?" has been published: Let us reveal a little secret: MQL5.com website visitors spend most of their time on Johnpaul77 signal's page. It is a leader of our signal
Institutional Nadaraya-Watson Kernel Regression : A quantitative machine learning envelope that utilizes Nadaraya-Watson kernel regression math to dynamically project statistically significant mean-reversion zones without relying on traditional standard deviation. Author: Amanda Vitoria De Paula
New article Introduction to the Empirical Mode Decomposition Method is published: This article serves to familiarize the reader with the empirical mode decomposition (EMD) method. It is the fundamental part of the Hilbert–Huang transform and is intended for analyzing data from nonstationary and
Multi-Symbol Alert Panel : An indicator to watch highs/lows of all markets simultaneously. Author: Hammad Dilber
Institutional Gaussian Signal Filter (Zero-Lag ALMA) : A quantitative Gaussian filter designed to replace lagging retail moving averages by applying advanced digital signal processing to eliminate market noise without sacrificing responsiveness. Author: Amanda Vitoria De Paula Pereira
Uniformity Factor Indicator : This is a simple analytical (non-signal, one-time calculated) indicator that allows you to test the hypothesis that price timeseries represent a "random walk", specifically Gaussian "random walk". This can help to construct a parametric transformation of price
Сode that records balance and equity charts and calculates additional optimization criteria : If you have access to the Expert Advisor code, you can save balance and equity charts and calculate additional optimization criteria by adding additional code from this library. Author: Aleksei Kuznetsov
ASQ Trading Journal Export : One-click CSV export of trade history with P&L, duration & stats Author: Muharrem Rogova
ASQ Spread Logger : Real-time spread monitor with statistics panel, CSV logging & alerts Author: Muharrem Rogova
Portfolio Scorer — Multi-EA Correlation and Coverage Analyzer : Portfolio Scorer is a standalone MQL5 script that evaluates the quality of a multi-EA portfolio across three critical dimensions that most algo traders overlook. The script reads daily profit and loss data from CSV files (one per Expert