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
Trading robot · MT5
Nafi Deep RL
Nafi is a MetaTrader 5 expert advisor framework designed for deep reinforcement learning in forex trading.
GitHub stars3
Forks4
Last update7 years ago8 Apr 2019
LicenceNone stated
Overview
Nafi Deep RL bridges Python-based training environments, such as OpenAI Gym and PyTorch, with MetaTrader to facilitate automated trade execution. The system features standard risk management controls including fixed lot sizing, take profit levels, and trailing stop functionality. While the repository provides several technical indicator examples like MACD and moving averages, its primary objective is the application of evolutionary strategies and predictive modeling. The project documentation is currently under development.
- Deep reinforcement learning integration
- OpenAI Gym environment support
- Automated trailing stop management
- PyTorch and NumPy training scripts
- Support for evolutionary strategies
Details
Author
neoricalex on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning, Trend following, Indicator crossover
Markets
Forex
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
- Experts/Examples/MACD/MACD Sample.mq5
- Experts/Examples/ChartInChart/ChartInChart.mq5
- Experts/Examples/Moving Average/Moving Average.mq5
- Experts/Advisors/ExpertMAPSARSizeOptimized.mq5
- Experts/Advisors/ExpertMAMA.mq5
- Experts/Advisors/ExpertMAPSAR.mq5
- Experts/Advisors/ExpertMACD.mq5
- Experts/NAFI/NAFI.mq5
- Experts/Examples/Controls/Controls.mq5
Topics
deeprlforex-tradingforex-predictionpython3numpypytorch
Input parameters
Read from MACD Sample.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpLots | double | 0.1 | Lots |
InpTakeProfit | int | 50 | Take Profit (in pips) |
InpTrailingStop | int | 30 | Trailing Stop Level (in pips) |
InpMACDOpenLevel | int | 3 | MACD open level (in pips) |
InpMACDCloseLevel | int | 2 | MACD close level (in pips) |
InpMATrendPeriod | int | 26 | MA trend period |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone neoricalex/nafi 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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