FxChartAI OpenEA is an automated trading solution for MetaTrader 5 that executes trades based on signals retrieved from the FxChartAI platform. The system operates in two modes, allowing for live API integration or historical testing using CSV datasets. It utilizes multi-timeframe analysis across M10 and H1 intervals,
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Expert Advisor Library
1,977 free, open-source expert advisors for MetaTrader 4 and 5, each linked to its source code on GitHub.
Type
Trading robot 10Trade managerRisk & protectionNews tradingCopier & bridgeFramework & template 1Collection 5Utility
Strategy
Market
This repository provides a collection of MetaTrader 4 and 5 expert advisors, including the modular Super Trading Bot series and an AI-driven trading template. The EAs utilize various technical indicators like Bollinger Bands, Parabolic SAR, and moving averages for trend-following and scalping. Built-in risk management
This MetaTrader 5 expert advisor combines technical indicators with machine learning forecasts to trade the Forex market. It uses a trend-following approach based on Exponential Moving Average crossovers, filtered by the Average Directional Index and volume confirmations. A unique feature is its integration with extern
This MetaTrader 5 repository provides a collection of expert advisors centered around an artificial neural network implementation. Developed using Matlab and exported as a DLL, the system integrates external computational models with MQL5. The primary advisor executes trades within defined time intervals, utilizing pri
This repository provides a collection of MetaTrader 4 expert advisors, centered around the OverLord robot which utilizes logistic regression models. OverLord determines entries by calculating price directionality over various tick counts and analyzing moving average slopes against hardcoded coefficients. In addition to
Code To Cash is an end-to-end algorithmic trading system for MetaTrader 5 that combines deep learning forecasts with technical breakout logic. It utilizes a ZeroMQ bridge to receive real-time market predictions from an external Python backend. The system enters trades using BuyStop or SellStop orders at recent price ex
This machine learning robot for MetaTrader 5 uses an ensemble of AI models including LSTM, GRU, and LightGBM to predict price movements. It executes trades based on signal confidence and predicted price targets. The EA features multiple risk controls such as volatility filters, trend-based MA filters, RSI checks, and a
This repository contains a collection of MetaTrader 5 expert advisors focused on advanced quantitative and machine learning techniques. The featured EA utilizes a technical summary approach inspired by TradingView, combining moving averages and oscillators with neural network confirmation via Hopfield and Restricted Bo
This MetaTrader 4 expert advisor connects to a Python FastAPI backend to facilitate automated trading based on Claude AI signals. The system transmits market data to the server, which performs multi-indicator analysis and sentiment processing before returning trade recommendations. It features multi-timeframe trend fil
Conquest EA is a self-adjusting expert advisor for MetaTrader 5 that utilizes Smart Money Concepts such as Fair Value Gaps and Break of Structure for entries. It features a built-in learning module that evaluates its own trade outcomes to adjust strategy weighting and confidence in real-time. Risk management includes a
This expert advisor for MetaTrader 5 combines traditional quantitative strategies with machine learning via the ONNX runtime. It features multiple trading modes including Order Blocks, market structure analysis, and a hybrid AI strategy using neural network predictions trained in PyTorch. The system incorporates compre
This automated trading system for MetaTrader 5 utilizes machine learning models via the ONNX runtime to forecast currency trends. It implements an ensemble approach, combining predictions from Logistic Regression, Support Vector Machines, Random Forest, and XGBoost. The system operates in two primary modes: technical i
Sharrow is an AI-driven trading robot for MetaTrader 5 that integrates with a Python-based machine learning toolchain. It functions as a trend engine, primarily designed for the H1 timeframe, using rules generated from walk-forward training scripts. The system includes sophisticated risk controls such as daily drawdown
This MetaTrader 5 expert advisor employs an ONNX-integrated LSTM model to forecast price action for the EURUSD pair on the H1 timeframe. It generates trade signals by comparing neural network predictions against current market prices or previous trend forecasts. The system manages risk through fixed or ATR-based stop l
This MetaTrader 5 framework provides tools for integrating machine learning models with algorithmic trading. It features scripts designed to generate training data by exporting price action and technical indicators like RSI, MACD, and Stochastics into CSV formats. The system interfaces with external neural network mode
This expert advisor for MetaTrader 4 utilizes a bridge to the R programming environment to implement machine learning for currency trading. It leverages pre-trained XGBoost models to identify trade opportunities based on technical features such as Average True Range, Bears Power, and Bulls Power indicators. The robot m
Learn how to use expert advisors
Free, plain-English guides: find an EA, install it, set it up, test it and run it safely.
- 1Types of EAsRobots, trade managers, copiers and risk tools, and what each is for.
- 2Using this librarySearch, filters, badges and what our checks do and do not mean.
- 3Install an EA in MT4 or MT5Data folder, compile, attach to a chart and switch on algo trading.
- 4EA settings explainedLot size, stop-loss, magic number, max spread and trading hours.
- 5Backtest in the Strategy TesterModelling, spread, the report and the over-fitting trap.
- 6Choose a safe EAA checklist for the code, the logic, the evidence and the fit.
- 7Run an EA 24/7VPS, forward testing on demo and going live small.
- 8Open-source EAs on GitHubLicences, compiling in MetaEditor and editing inputs safely.
- 9Forex robots: an honest guideWhat automation can and cannot do for you.
About the EA Library
The ForexR EA Library collects open-source expert advisors for MetaTrader 4 and MetaTrader 5 that are published on GitHub. Each entry links to the original repository, so you always get the author's latest code, issues and licence straight from the source. Star counts, last updates and licences are synced from GitHub every day, and new repositories are added every week.
Every repository is checked automatically before it is listed: it must contain readable MQL source code for a real expert advisor, and repositories that ship executables, hide downloads behind archive passwords or show signs of bought stars are left out. The summaries and tags are written automatically from each repository's README and code. They describe what an EA does; they are not a recommendation, and nothing here is tested or endorsed by ForexR.
Trading with expert advisors is risky. Backtest any EA and run it on a demo account before you trust it with real money. CFDs and leveraged forex are complex instruments with a high risk of losing money rapidly.
EA Library FAQ
What is an expert advisor (EA)?
An expert advisor is a program that runs inside MetaTrader 4 or MetaTrader 5. It can open and close trades on its own, manage trades you opened (trailing stops, break-even, partial closes), protect the account, or connect MetaTrader to other tools such as Telegram or Python. EAs are written in MQL4 (MT4) or MQL5 (MT5).
Are the EAs in this library free?
Yes. Every EA listed here is published on GitHub with its source code, so you can read, download and compile it at no cost. Check each repository's licence before reusing the code in your own projects: some EAs state no licence at all.
Are these EAs safe to use?
ForexR lists only repositories with readable MQL source code and never hosts files. Repositories that ship executables, ask you to disable antivirus, hide downloads behind passwords or show signs of bought stars are left out automatically. That does not make any EA profitable or bug-free: read the code, backtest it in the Strategy Tester and run it on a demo account first.
How do I install an EA in MT4 or MT5?
Download the source from GitHub, open MetaTrader, choose File, then Open Data Folder, and copy the .mq4 (MT4) or .mq5 (MT5) file into MQL4/Experts or MQL5/Experts. Open it in MetaEditor and press Compile, then drag the EA from the Navigator onto a chart and allow algorithmic trading.
How does ForexR choose which EAs to list?
A crawler searches GitHub every week for MetaTrader repositories, reads their code and keeps those that contain a real expert advisor and pass the safety checks. Stars, updates and licences are refreshed from GitHub every day. Summaries are written automatically from each repository's README and code, so treat them as a guide and check the source.
What do "High risk", grid and martingale mean?
A grid EA opens a ladder of orders at fixed distances; a martingale EA increases the lot size after losses. Both can show smooth equity curves for a long time and then lose a large part of the account in one strong trend. EAs that use either are marked High risk, and you can hide them with the "Hide grid and martingale" filter.
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