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
Prediction App DLL
This MetaTrader 5 framework provides tools for integrating machine learning models with algorithmic trading.
GitHub stars1
Forks0
Last update5 years ago7 Feb 2021
LicenceNone stated
Overview
Prediction App DLL 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 models via a custom DLL, supporting PyTorch-based predictions and Recurrent Neural Network (RNN) architectures. While it includes basic trade management inputs for stop loss and take profit, its core utility is bridging MQL5 with deep learning environments. The repository contains no documentation.
- External DLL interface for neural network predictions
- Automated CSV data export for model training
- Multi-indicator logging including RSI and MACD
- Support for RNN and PyTorch integration
- Adjustable stop loss and take profit parameters
Details
Author
LeCray on GitHub
Type
Framework & template
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Trend following
Markets
Forex
Timeframes
M15-H1
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 buy_data_generator.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpFileName | string | BuyData.csv | File name |
InpDirectoryName | string | Data | Folder name |
symbol | string | EURUSD | |
timeFrame | int | 5 | |
InpTakeProfit | int | 50 | Take Profit (in pips) |
InpStopLoss | int | 25 | Take Profit (in pips) |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone LeCray/prediction-app-dll 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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