Check out the new article: Price Action Analysis Toolkit Development (Part 73): Building a Weekend Gap Trading Signal System in MQL5 . We extend the weekend gap toolkit with an indicator that turns gap structure into tradeable signals. When price confirms back into the gap, the indicator issues
Check out the new article: Overcoming Accessibility Problems in MQL5 Trading Tools (Part V): Gesture-Based Trading With Computer Vision . This article shows how to build a hands-free trading workflow for MetaTrader 5 by translating webcam-tracked hand gestures into MQL5 trade commands. We cover the
Check out the new article: Feature Engineering for ML (Part 6): Microstructural Features in MQL5 . The article introduces CMicrostructureFeatures, an MQL5 class for bar‑level microstructure features: Roll spread/impact, Corwin‑Schultz spread and sigma, Kyle's Lambda, Amihud's ILLIQ, and Hasbrouck's
RSI Grid EA Pro : RSI Grid Overlap Pro is a professional MT5 Expert Advisor combining RSI-based market entries with an adaptive grid recovery system. It features intelligent overlap order management to reduce drawdown, plus virtual trailing stop, breakeven, and three lot sizing modes — fixed
Check out the new article: Competitive Learning Algorithm (CLA) . The article presents the Competitive Learning Algorithm (CLA), a new metaheuristic optimization method based on simulating the educational process. The algorithm organizes the population of solutions into classes with students and
Swing Highs and Lows : Short description. Author: Rajesh Kumar Nait
Check out the new article: Neural Networks in Trading: LSTM Optimization for Multivariate Time Series Forecasting (DA-CG-LSTM) . This article introduces the DA-CG-LSTM algorithm, which offers new approaches to time series analysis and forecasting. It explains how innovative attention mechanisms and
Check out the new article: Price Action Analysis Toolkit Development (Part 72): Building a Gap Fill Indicator in MQL5 . An EA-ready weekend gap-fill tool for MetaTrader 5 that detects gaps, confirms complete fills, and posts deterministic buy/sell values to indicator buffers. It reconstructs
Check out the new article: Graph Theory: Network Flow of Commodities (Ford-Fulkerson Algorithm), Used as a Liquidity-Capacity Engine . The article presents an MQL5 Expert Advisor that adapts the Ford–Fulkerson max-flow method into a liquidity-capacity filter. Market structures—Swing Highs/Lows, Fair
Check out the new article: MQL5 Wizard Techniques you should know (Part 96): Using Wavelet Thresholding and LSTM Network in a Custom Money Management Class . In this article we consider a custom MQL5 Wizard class that processes Money Management. Our custom class is labelled ‘CMoneyWaveletLSTM’, and
Check out the new article: The Repository Pattern in MQL5: Abstracting Trade History Access for Testable EA Logic . Direct calls to the MQL5 History API inside analytics components create hidden terminal dependencies that make isolated testing structurally impossible. This article constructs an
Check out the new article: MQL5 Trading Tools (Part 36): Adding Shape and Annotation Tools with In-Place Label Editing to the Canvas Drawing Layer . We add eight shape tools and nine annotation tools to the canvas and implement a full in-place label-editing system. The article walks through
Check out the new article: From Static MA to Adaptive Filtering (Part 1): Introducing SAMA with NLMS in MQL5 . This article introduces the Self-Adaptive Moving Average (SAMA), an adaptive filter leveraging the Normalized Least Mean Squares (NLMS) algorithm. It explores why fixed-period averages
Spread Monitor : Allows to monitor spread and swaps! Author: Volodymyr Bobal
New article Automatic construction of support and resistance lines has been published: The article deals with automatic construction of support/resistance lines using local tops and bottoms of price charts. The well-known ZigZag indicator is applied to define these extreme values. Support and
Check out the new article: Gaussian Processes in Machine Learning (Part 1): Classification Model in MQL5 . The article considers the classification model of Gaussian processes. We will start by studying its theoretical principles moving on to the practical development of the GP library in MQL5. We
Check out the new article: Neural Networks in Trading: Actor—Director—Critic (Final Part) . The Actor–Director–Critic framework is an evolution of the classic agent learning architecture. The article presents practical experience of its implementation and adaptation to financial market conditions
Check out the new article: CAPM Model Indicator for the Forex Market . Adaptation of the classical CAPM model for the Forex currency market in MQL5. The indicator calculates expected return and risk premium based on historical volatility. The indicators rise at peaks and bottoms, reflecting the
Check out the new article: Neural Networks in Trading: Skill Hierarchy for Adaptive Agent Behavior (Final Part) . The article discusses the practical implementation of the HiSSD framework in algorithmic trading tasks. It explains how the skill hierarchy and adaptive architecture can be used to build
Check out the new article: CSV Data Analysis (Part 4): Building an Automated Python-Driven Comparative Analysis Module for MQL5 Strategy Validation . The article presents a reproducible MetaTrader 5 to Python pipeline for large-scale indicator research. An MQL5 export schema captures fixed columns
New article Magic of time trading intervals with Frames Analyzer tool has been published: What is Frames Analyzer? This is a plug-in module for any Expert Advisor for analyzing optimization frames during parameter optimization in the strategy tester, as well as outside the tester, by reading an MQD
Discussion of article "How to Order an Expert Advisor and Obtain the Desired Result"
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New article How to Order an Expert Advisor and Obtain the Desired Result is published: How to write correctly the Requirement Specifications? What should and should not be expected from a programmer when ordering an Expert Advisor or an indicator? How to keep a dialog, what moments to pay special
Check out the new article: Creating a Trading Administrator Panel in MQL5 (Part X): External resource-based interface . Today, we are harnessing the capabilities of MQL5 to utilize external resources—such as images in the BMP format—to create a uniquely styled home interface for the Trading
Check out the new article: Step-by-Step Implementation of a Local Stop Loss System in MQL5 . This article shows how to build a local stop-loss system in an MQL5 Expert Advisor that keeps stop levels on the terminal side. It walks through the execution logic, event handlers, inputs, and an OOP design
New article Fuzzy Logic in trading strategies has been published: The article considers an example of applying the fuzzy logic to build a simple trading system, using the Fuzzy library. Variants for improving the system by combining fuzzy logic, genetic algorithms and neural networks are proposed
XPro Trade Panel — Full Trade Management Panel for MT5/MT4 : One-click trade panel for MT5 and MT4. Manage entries, exits, SL, TP, pending orders and partial closes without touching the keyboard. Author: Cristhian Alexander Gaibor Cuasquer
Price Action Intraday Trading - Expert for MT5 : Price Action Day Trader is a robust, trend-following MQL5 Expert Advisor designed for intraday trading. It focuses on high-probability price action patterns Pin Bars, Engulfing Candles, and Inside Bar Breakouts while filtering trades through a dual
Check out the new article: MQL5 Trading Tools (Part 24): Depth-Perception Upgrades with 3D Curves, Pan Mode, and ViewCube Navigation . In this article, we enhance the 3D binomial distribution graphing tool in MQL5 by adding a segmented 3D curve for improved depth perception of the probability mass
Check out the new article: A Generic Object Pool in MQL5: Eliminating Heap Fragmentation in High-Frequency Indicators . High-frequency MQL5 indicators that instantiate objects on every tick accumulate allocation overhead and timing jitter in OnCalculate(). This article constructs a generic templated
Check out the new article: Market Microstructure in MQL5 (Part 5): Microstructure Noise . The article extends MicroStructure_Foundation.mqh with a MicrostructureAnalysis struct and five functions that decompose M1 price variation into a quoted spread proxy, Roll-implied spread, OHLC-based noise
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