Codes
Project Template Generator for MetaTrader 5
This script serves as a practical example of how developers can programmatically work with files using MQL5. One of its key objectives is to demonstrate effective project file organization, which is essential for developers working on large-scale systems or aiming to create portable, self-contained
Telegram integration made easy for MetaTrader 5
The goal is to make the function readily available for any Telegram integration task in MQL5 development. By adding this file to your CodeBase, you can simply include it in your Expert Advisors and call the function directly from the included module. This eliminates the need to redevelop the code
Articles
How to Detect and Normalize Chart Objects in MQL5 (Part 2): Collecting and Structuring Data from Complex Analytical Objects for MetaTrader 5
Manually drawn analytical object tools like Fibonacci tools, and Andrews Pitchforks are invisible to automated trading logic. This article extends a base detector to extract anchor points, level arrays, and geometric offsets from complex objects. You will implement a reusable collector that
How to Detect and Normalize Chart Objects in MQL5 (Part 1): Building a Chart Object Detection Engine for MetaTrader 5
This article addresses the interpretative gap between visual chart objects and algorithmic execution. You will build a systematic detector that iterates over all chart objects, identifies analytical types, and normalises their geometric data (time and price coordinates) into a structured
Overcoming Accessibility Problems in MQL5 Trading Tools (Part IV): Remote voice trading for MetaTrader 5
Learn a practical way to execute MetaTrader 5 trades from Telegram voice notes using a Python middleware and an MQL5 EA acting as an HTTP client. The article covers architecture, WebRequest polling, in-memory queuing, JSON parsing with null-terminator stripping, and a constrained command grammar
The MQL5 Standard Library Explorer (Part 12): Multi-Timeframe Composite-Score Dashboard for MetaTrader 5
The article implements CMultiTimeframeMatrix, a reusable dashboard that maps symbols vs. timeframes and displays a numeric, colour‑coded score. The score combines trend, momentum, and volatility, updates by timer, and respects performance constraints. You will learn how to build the UI with
The MQL5 Standard Library Explorer (Part 11): How to Build a Matrix-Based Market Structure Indicator in MQL5 for MetaTrader 5
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 separate‑window oscillator to validate the core mathematics, then a main‑chart indicator that plots non‑repainting buy/sell arrows when the
From Novice to Expert: Creating an MTF CRT Overlay Indicator in MQL5 for MetaTrader 5
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 range, body, and wicks onto the active lower-timeframe chart, and marks entries, stops, and
From Novice to Expert: Automating Base-Candle Geometry for Liquidity Zones in MQL5 for MetaTrader 5
This article implements an MQL5 module that analyzes the lower‑timeframe bars inside each liquidity‑zone base candle. It detects swing points and applies objective rules to classify the internal structure as an ascending, descending, or symmetrical triangle; a rectangle; M; W; or undefined. The
Overcoming Accessibility Problems in MQL5 Trading Tools (Part III): Bidirectional Speech Communication Between a Trader and an Expert Advisor for MetaTrader 5
Build a local, bidirectional voice interface for MetaTrader 5 using MQL5 WebRequest and two Python services. The article implements offline speech recognition with Vosk, wake‑word detection, an HTTP command endpoint, and a text‑to‑speech server on localhost. You will wire an Expert Advisor that
From Novice to Expert: Adaptive Risk Management for Liquidity Strategies for MetaTrader 5
In this article, we explore practical and robust risk management techniques specifically tailored for liquidity-based trading. You will learn how to protect positions during retests, handle false breakouts with confidence, and identify signs of potential level manipulation. By the end, you will have
From Novice to Expert: Detecting Liquidity Zone Flips Using MQL5 for MetaTrader 5
This article presents an MQL5 indicator that detects and manages liquidity zone flips. It identifies supply and demand zones from higher timeframes using a base–impulse pattern, applies objective breakout and impulse thresholds, and flips zones automatically when structure changes. The result is a
Forum
What could the trading world become if EAs and custom indicators were able to run on mobile platforms?
In my opinion, I believe this could result in higher trading activity and increased EA sales for developers due to the large number of mobile users. According to some research on Google: 95.8% use mobile phones to access the internet. By comparison, almost 62.9% use laptops or desktops (Source