This MetaTrader 4 expert advisor serves as a ZeroMQ server to bridge the trading terminal with external Python environments for machine learning analysis. It facilitates real-time data export, including price action and nineteen technical indicators like RSI and MACD, to train predictive models. The EA receives trade e
Copier & bridge · MT4 · MT5
Buy Hold Sell Close
This expert advisor acts as a communication bridge between MetaTrader 4 or 5 and external Python applications.
GitHub stars3
Forks0
Last update2 years ago3 Jun 2024
LicenceNone stated
Overview
Based on the Darwinex Labs server framework, it uses text files to exchange market data and trade commands, allowing users to implement machine learning models or reinforcement learning strategies. It includes basic risk controls such as maximum order counts, slippage settings, and lot size limits. The repository focuses on reinforcement learning experiments using Stable Baselines3, and the developer explicitly notes it should not be used on live accounts.
- File-based communication bridge between MetaTrader and Python
- Support for both MetaTrader 4 and MetaTrader 5 platforms
- Configurable polling intervals for market data updates
- Risk constraints for maximum lot size and order counts
Details
Author
kmafutah on GitHub
Type
Copier & bridge
Platform
MetaTrader 4 (MQL4) and MetaTrader 5 (MQL5)
Strategy
AI / machine learning
Markets
Any symbol
Timeframes
Any timeframe
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
EA files
Input parameters
Read from DWX_Server_MT5.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
t0 | string | --- General Parameters --- | |
MILLISECOND_TIMER | int | 25 | |
numLastMessages | int | 50 | |
t1 | string | If true, it will open charts for bar data symbols, | |
t2 | string | which reduces the delay on a new bar. | |
openChartsForBarData | bool | true | |
openChartsForHistoricData | bool | true | |
t3 | string | --- Trading Parameters --- | |
MaximumOrders | int | 1 | |
MaximumLotSize | double | 0.01 | |
SlippagePoints | int | 3 | |
lotSizeDigits | int | 2 |
Show all 13 inputs
| Name | Type | Default | Description |
|---|---|---|---|
asyncMode | bool | false |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone kmafutah/buy-hold-sell-close from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.
- 3Copy the filesCopy the .mq4 / .mq5 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
Similar expert advisors
Aurum79 is a connectivity bridge that links MetaTrader 5 to external JavaScript environments via a local socket server. The expert advisor transmits live price ticks and historical candle data to a Node.js client, which can then process the information using external libraries such as TensorFlow.js. It receives and exe
This expert advisor serves as a bridge between MetaTrader 4 and external applications using the ZeroMQ messaging protocol. It allows external programs to communicate with the terminal over TCP sockets to send trading commands or retrieve market data. The EA functions as a server, hosting REP and PUSH sockets to handle
This MetaTrader 5 expert advisor serves as a technical bridge to integrate Python-based trading models into the platform. It facilitates the testing and validation of external models within the MetaTrader Strategy Tester by utilizing the ONNX format for cross-platform compatibility. The system allows developers to leve
This MetaTrader 5 expert advisor acts as a communication bridge between the terminal and external applications, specifically tailored for reinforcement learning and Python-based algorithmic trading. It exports real-time market data, bar history, and account information to local files while processing trade commands fro
This MetaTrader 4 expert advisor functions as a local trade copier, allowing users to replicate trades from one terminal to another. It operates by sharing a data file between a master and a slave instance on the same computer or filesystem. The slave EA manages order execution, including market, limit, and stop orders
Need a broker for MT4/MT5?
Compare regulated brokers that support MetaTrader, with spreads, minimum deposits and leverage side by side.
Compare brokers