Check out the new article: Mining Central Bank Balance Sheet Data to Get a Picture of Global Liquidity . Mining central bank balance sheet data provides a picture of global liquidity in the Forex market and key currencies. We combine data from the Fed, ECB, BOJ and PBoC into a composite index and
Check out the new article: MQL5 Wizard Techniques you should know (Part 87): Volatility-Scaled Money Management with Monotonic Queue in MQL5 . This article presents a custom MQL5 money management class that adapts position sizing to real-time volatility using a monotonic queue for O(N)
Check out the new article: Developing a Multi-Currency Advisor (Part 27): Component for Displaying Multi-Line Text . If there is a need to display text on a chart, we can use the Comment() function. But its capabilities are quite limited. Therefore, in this article, we will create our own component
Check out the new article: Price Action Analysis Toolkit Development (Part 67): Automating Support and Resistance Monitoring in MQL5 . This article implements a complete MQL5 Expert Advisor that monitors manually drawn support and resistance levels in real time. It synchronizes horizontal lines
Discussing the article: "MQL5 Trading Tools (Part 29): Step-by-Step Butterfly Animation on Canvas"
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Check out the new article: MQL5 Trading Tools (Part 29): Step-by-Step Butterfly Animation on Canvas . In this article, we expand our butterfly animation program with a four-stage animation pipeline: sequential curve drawing, smooth wing fill fading, detailed body rendering, and continuous flight. We
Check out the new article: Developing Trading Strategy: Pseudo Pearson Correlation Approach . Generating new indicators from existing ones offers a powerful way to enhance trading analysis. By defining a mathematical function that integrates the outputs of existing indicators, traders can create
Check out the new article: Trading Options Without Options (Part 1): Basic Theory and Emulation Through Underlying Assets . The article describes a variant of options emulation through an underlying asset implemented in the MQL5 programming language. The pros and cons of the chosen approach are
Check out the new article: Neural Networks in Trading: Detecting Anomalies in the Frequency Domain (CATCH) . The CATCH framework combines Fourier transform and frequency patching to accurately identify market anomalies beyond the reach of traditional methods. Let us examine how this approach reveals
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: File-Based Versioning of EA Parameters in MQL5 . This article explains how to implement parameter versioning in MQL5 using binary files and packed structures. It shows how to write and read fixed-size records with FileWriteStruct and FileReadStruct in FILE_BIN mode
Smart Money Concepts : An indicator which features full Smart Money Concept (SMC) + Break Of Structure (BOS) + Change Of Character (COC) + Fair Value Gap (FVG) Detection and Buy/Sell signals. Author: Hammad Dilber
Strength Arrow:
This is an indicator which totally based on RSI. The reason to amend this indicator is knowing the strength of a currency.
Author: Khurram Mustafa
Check out the new article: Building a Trade Analytics System (Part 2): How to Capture Closed Trades and Send JSON in MQL5 . We build a lightweight bridge that captures closed trades in MetaTrader 5 and sends them to an external backend over HTTP as JSON. It uses OnTradeTransaction for event
Check out the new article: Engineering Trading Discipline into Code (Part 4): Enforcing Trading Hours and News Disabling in MQL5 . An MQL5 control system that blocks orders outside scheduled trading hours and during scheduled news releases, converting time rules into executable restrictions. It
Check out the new article: Automating Trading Strategies in MQL5 (Part 48): Order Blocks, Inducement, Break of Structure . We implement an MQL5 expert advisor that detects order blocks formed after consolidation breakouts and confirms them with fair value gaps. Each zone is validated by a break of
Check out the new article: Using the MQL5 Economic Calendar for News Filter (Part 4): Accurate Backtesting with Static Data . This article implements a static, CSV-based news source for the Strategy Tester, so historical economic news events can be preloaded and queried during backtesting. It
Discussion of article "The checks a trading robot must pass before publication in the Market"
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New article The checks a trading robot must pass before publication in the Market has been published: Before any product is published in the Market, it must undergo compulsory preliminary checks in order to ensure a uniform quality standard. This article considers the most frequent errors made by
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: Statistical Arbitrage Through Cointegrated Stocks (Part 2): Expert Advisor, Backtests, and Optimization . This article presents a sample Expert Advisor implementation for trading a basket of four Nasdaq stocks. The stocks were initially filtered based on Pearson
Check out the new article: Neural Networks in Trading: Adaptive Detection of Market Anomalies (Final Part) . We continue to build the algorithms that form the basis of the DADA framework, which is an advanced tool for detecting anomalies in time series. This approach enables effective distinguishing
Check out the new article: Deterministic Oscillatory Search (DOS) . Deterministic Oscillatory Search (DOS) algorithm is an innovative global optimization method that combines the advantages of gradient and swarm algorithms without the use of random numbers. The fitness oscillation and slope
Check out the new article: Larry Williams Market Secrets (Part 5): Automating the Volatility Breakout Strategy in MQL5 . This article demonstrates how to automate Larry Williams’ volatility breakout strategy in MQL5 using a practical, step-by-step approach. You will learn how to calculate daily
Check out the new article: From Novice to Expert: Automating Base-Candle Geometry for Liquidity Zones in MQL5 . 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
Check out the new article: MQL5 Trading Tools (Part 28): Filling Sweep Polygons for Butterfly Curve in MQL5 . We expand the capabilities of the MetaTrader 5 butterfly curve canvas by adding multi-layered wing fills, vein lines, scale dots, and a full body (abdomen, thorax, head, eyes, antennae)
Check out the new article: MetaTrader 5 Machine Learning Blueprint (Part 13): Implementing Bet Sizing in MQL5 . We build a production MQL5 bet‑sizing toolkit: utilities, snippets, and user‑level functions that mirror the Python originals. The methods cover probability‑to‑size mapping with overlap
Cross_Line_Trader : The Expert Advisor opens positions when the price crosses line objects. Author: Scriptor
Frontend EA : UI cleanup + quick-trading layer for MT5 : A chart-cleanup + quick-trading layer for MT5 Author: Elie Baptiste Granger
MQL5 Programming for Traders – Source Codes from the Book. Part 6 : In Part 6 of the "MQL5 Programming for Traders", we will study a key component of the MQL5 language – trading automation. We will start with a description of the fundamental entities, such as financial instrument specifications and
Advanced Trade History Exporter: MAE, MFE and Time-Based Excursions (Points) : Utility script that exports your MetaTrader 5 trading history to a CSV file. It automatically calculates Maximum Favorable Excursion (MFE), Maximum Adverse Excursion (MAE), and Forward Returns (Time-Based Excursions) in
Check out the new article: Statistical Arbitrage Through Cointegrated Stocks (Part 7): Scoring System 2 . This article describes two additional scoring criteria used for selection of baskets of stocks to be traded in mean-reversion strategies, more specifically, in cointegration based statistical
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