Roffild Library is an extensive framework and collection of expert advisors for MetaTrader 5 that bridges MQL5 with modern data science tools. It provides functional implementations for machine learning models, specifically Multilayer Perceptron neural networks and Random Forests via the AlgLib library. The project fac
Framework & template · MT5
MQL5 Architect Trading Framework
This MetaTrader 5 expert advisor serves as a modular framework for building high-performance trading systems with external connectivity.
GitHub stars5
Forks2
Last update8 months ago9 Jan 2026
LicenceMIT
Overview
MQL5 Architect Trading Framework utilizes a three-pillar architecture: a bridge interface for REST API communication with external backends, a multi-agent logic system for AI-driven signal generation, and a risk management module. The system monitors account-wide drawdown and daily loss limits while performing dynamic lot sizing based on equity. It employs an observer design pattern to decouple market analysis from trade execution, aiming for low-latency signal propagation.
- REST API bridge for external backend communication
- Multi-agent AI signal generation logic
- Dynamic lot sizing based on account equity
- Global equity drawdown and daily loss kill-switch
- Observer design pattern for modular execution
Details
Author
JMS-tesoy on GitHub
Type
Framework & template
Platform
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
Topics
algorithmic-tradingexpert-advisorsfintechlow-latencymetatrader-5mql5trading-infrastructuretrading-systems
Input parameters
Read from ArchitectMainEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpApiUrl | string | https://api.yourfintech.com | API Endpoint |
InpAuthToken | string | AUTH_TOKEN_HERE | Security Token |
InpMaxDD | double | 5.0 | Max Drawdown % |
InpDailyLoss | double | 2.0 | Daily Loss Limit % |
InpRiskPerTrade | double | 1.0 | Risk per Trade % |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone JMS-tesoy/MQL5-Skill-Libraries- from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
- 3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
- 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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