This expert advisor acts as a communication bridge between MetaTrader 4 or 5 and external Python applications. 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
Copier & bridge · MT4
Market Analysis ML Bridge
This MetaTrader 4 expert advisor serves as a ZeroMQ server to bridge the trading terminal with external Python environments for machine learning analysis.
GitHub stars24
Forks8
Last update7 years ago14 Jun 2019
LicenceNone stated
Overview
Market Analysis ML Bridge facilitates real-time data export, including price action and nineteen technical indicators like RSI and MACD, to train predictive models. The EA receives trade execution commands from an external Python client to open or close positions. It manages risk through basic parameters for maximum lot size, order limits, and slippage. While the EA handles execution, the core strategy logic resides in external scripts.
- ZeroMQ server integration
- Real-time market data export
- External trade signal execution
- Support for nineteen technical indicators
- Automated order management via Python
Details
Author
Financial-ML on GitHub
Type
Copier & bridge
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning
Markets
Forex, Gold
Timeframes
Any timeframe
Risk profile
- Trades without a fixed stop loss
EA files
Topics
machine-learningdata-scienceartificial-intelligencetrading-strategiestrading-systemsfinancial-analysismql4pythondata-mining
Input parameters
Read from DWX_ZeroMQ_Server_v2.0.1_RC8.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
PROJECT_NAME | string | DWX_ZeroMQ_MT4_Server | |
ZEROMQ_PROTOCOL | string | tcp | |
HOSTNAME | string | * | |
PUSH_PORT | int | 32768 | |
PULL_PORT | int | 32769 | |
PUB_PORT | int | 32771 | |
MILLISECOND_TIMER | int | 1 | |
t0 | string | --- Trading Parameters --- | |
MagicNumber | int | 123456 | |
MaximumOrders | int | 1 | |
MaximumLotSize | double | 0.01 | |
MaximumSlippage | int | 3 |
Show all 15 inputs
| Name | Type | Default | Description |
|---|---|---|---|
DMA_MODE | bool | true | |
t1 | string | --- ZeroMQ Configuration --- | |
Publish_MarketData | bool | true |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Financial-ML/Market-Analysis from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 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.
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