Check out the new article: Optimizing Trend Strength: Trading in Trend Direction and Strength . This is a specialized trend-following EA that makes both short and long-term analyses, trading decisions, and executions based on the overall trend and its strength. This article will explore in detail an
Check out the new article: Price Action Analysis Toolkit Development (Part 54): Filtering Trends with EMA and Smoothed Price Action . This article explores a method that combines Heikin‑Ashi smoothing with EMA20 High and Low boundaries and an EMA50 trend filter to improve trade clarity and timing
Price Action Dynamic Exit Strategy - Profit Shield pro : Take it as profit guardian or market reversal detector. It is a script that acts as a safety net to protect profits when you're away. Instead of just waiting for a fixed Take Profit level, it monitors price behaviour and closes the trade if it
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: Python-MetaTrader 5 Strategy Tester (Part 02): Dealing with Bars, Ticks, and Overloading Built-in Functions in a Simulator . In this article, we introduce functions similar to those provided by the Python-MetaTrader 5 module, providing a simulator with a familiar interface
Price Channel Stop : A new variation of a well known price channel indicator. The indicator shows the current estimated trend based on channel period and desired risk. It also shows two levels of values that can be used as a stop loss for orders opened based on this indicator (using the trend color
Adaptive VWAP Institutional : Adaptive VWAP Institutional: Multi-Asset Auto-Detection & DST-Accurate Session Resets (Forex 5PM NY Standard). Author: awran5
Check out the new article: From Basic to Intermediate: Events (I) . Given everything that has been shown so far, I think we can now start implementing some kind of application to run some symbol directly on the chart. However, first we need to talk about a concept that can be rather confusing for
Discussing the article: "Statistical Arbitrage Through Mean Reversion in Pairs Trading: Beating the Market by Math"
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Check out the new article: Statistical Arbitrage Through Mean Reversion in Pairs Trading: Beating the Market by Math . This article describes the fundamentals of portfolio-level statistical arbitrage. Its goal is to facilitate the understanding of the principles of statistical arbitrage to readers
Check out the new article: Introduction to MQL5 (Part 34): Mastering API and WebRequest Function in MQL5 (VIII) . In this article, you will learn how to create an interactive control panel in MetaTrader 5. We cover the basics of adding input fields, action buttons, and labels to display text. Using
Check out the new article: Creating Custom Indicators in MQL5 (Part 4): Smart WaveTrend Crossover with Dual Oscillators . In this article, we develop a custom indicator in MQL5 called Smart WaveTrend Crossover, utilizing dual WaveTrend oscillators—one for generating crossover signals and another for
Check out the new article: Market Simulation (Part 08): Sockets (II) . How about creating something practical using sockets? In today's article, we'll start creating a mini-chat. Let's look together at how this is done - it will be very interesting. Please note that the code provided here is for
Check out the new article: Fibonacci in Forex (Part I): Examining the Price-Time Relationship . How does the market observe Fibonacci-based relationships? This sequence, where each subsequent number is equal to the sum of the two previous ones (1, 1, 2, 3, 5, 8, 13, 21...), not only describes the
MultiTester : Multiple runs/optimisations in Tester. Author: fxsaber
Check out the new article: Neural Networks in Trading: Two-Dimensional Connection Space Models (Chimera) . In this article, we will explore the innovative Chimera framework: a two-dimensional state-space model that uses neural networks to analyze multivariate time series. This method offers high
Check out the new article: Larry Williams Market Secrets (Part 3): Proving Non-Random Market Behavior with MQL5 . Explore whether financial markets are truly random by recreating Larry Williams’ market behavior experiments using MQL5. This article demonstrates how simple price-action tests can
Check out the new article: Building Volatility models in MQL5 (Part I): The Initial Implementation . In this article, we present an MQL5 library for modeling volatility, designed to function similarly to Python's arch package. The library currently supports the specification of common conditional
BinanceQuotesDownloader : Real-time display of Binance quotes Author: Yuriy Lyachshenko
Check out the new article: Sigma Score Indicator for MetaTrader 5: A Simple Statistical Anomaly Detector . Build a practical MetaTrader 5 “Sigma Score” indicator from scratch and learn what it really measures: The z-score of log returns (how many standard deviations the latest move is from the
Check out the new article: Neuroboids Optimization Algorithm (NOA) . A new bioinspired optimization metaheuristic, NOA (Neuroboids Optimization Algorithm), combines the principles of collective intelligence and neural networks. Unlike conventional methods, the algorithm uses a population of
Check out the new article: Larry Williams Market Secrets (Part 4): Automating Short-Term Swing Highs and Lows in MQL5 . Master the automation of Larry Williams’ short-term swing patterns using MQL5. In this guide, we develop a fully configurable Expert Advisor (EA) that leverages non-random market
Check out the new article: From Novice to Expert: Predictive Price Pathways . Fibonacci levels provide a practical framework that markets often respect, highlighting price zones where reactions are more likely. In this article, we build an expert advisor that applies Fibonacci retracement logic to
Check out the new article: Self Optimizing Expert Advisor with MQL5 And Python (Part III): Cracking The Boom 1000 Algorithm . In this series of articles, we discuss how we can build Expert Advisors capable of autonomously adjusting themselves to dynamic market conditions. In today's article, we will
EMA_RSI_RISK-EA : Expert Advisor for MetaTrader 5 that combines Exponential Moving Averages (EMA) and Relative Strength Index (RSI) to generate trading signals. Includes risk management features and trading time filter. Author: solyemam
Check out the new article: Introduction to MQL5 (Part 33): Mastering API and WebRequest Function in MQL5 (VII) . This article demonstrates how to integrate the Google Generative AI API with MetaTrader 5 using MQL5. You will learn how to structure API requests, handle server responses, extract
Check out the new article: Larry Williams Market Secrets (Part 2): Automating a Market Structure Trading System . Learn how to automate Larry Williams market structure concepts in MQL5 by building a complete Expert Advisor that reads swing points, generates trade signals, manages risk, and applies a
New article Exploring Trading Strategy Classes of the Standard Library - Customizing Strategies is published: This article is intended for novice/beginner users who want to approach some kind of customization with functionality and without writing an EA from scratch. In MetaTrader 5 we have a great
Check out the new article: Successful Restaurateur Algorithm (SRA) . Successful Restaurateur Algorithm (SRA) is an innovative optimization method inspired by restaurant business management principles. Unlike traditional approaches, SRA does not discard weak solutions, but improves them by combining
Check out the new article: Neural Networks in Trading: Multi-Task Learning Based on the ResNeXt Model (Final Part) . We continue exploring a multi-task learning framework based on ResNeXt, which is characterized by modularity, high computational efficiency, and the ability to identify stable
Optimization criteria and charts saver : Collecting different optimization criteria (there were 38 in the first version) and balance and equity charts during optimization. Author: Aleksei Kuznetsov
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