How to Run

Prerequisites

MetaTrader 5 Terminal: You need to have the MetaTrader 5 terminal installed. You can download it from the official website of your broker.
Python 3.x: You need to have Python 3.x installed. You can download it from the official Python website.
Python Libraries: You need to have the following Python libraries installed: pandas, scikit-learn, skl2onnx, onnxruntime.

Clone the repository to your local machine.
Install the required Python libraries using pip:
```
pip install -r requirements.txt
```

Export Price Data:
- Open the MetaEditor in your MetaTrader 5 terminal.
- Open the Export_EURUSD_History.mq5 file from the separate_codes directory.
- Compile the script.
- Run the script on a EUR/USD chart. This will create a raw_price_data.csv file in the MQL5/Files directory of your MetaTrader 5 installation. The location of this directory can vary depending on your installation. You can find the location of the MQL5 directory by going to File > Open Data Folder in your MetaTrader 5 terminal.
- Copy the raw_price_data.csv file to the root of the project directory.
Train the Models:
- Navigate to the separate_codes directory in your terminal.
- Run the create_benchmark_model.py script to create the benchmark model.
```
python create_benchmark_model.py
```
- Run the Model_Development.py script to train the neural network model.
```
python Model_Development.py
```
Run the Expert Advisors:
- Copy the Benchmark_Model_EA.mq5 and Neural_Network_Trader_EA.mq5 files from the separate_codes directory to the MQL5/Experts directory of your MetaTrader 5 installation.
- Copy the benchmark_logistic_model.onnx and trading_neural_network_model.onnx files from the separate_codes directory to the MQL5/Files directory of your MetaTrader 5 installation.
- Open the MetaEditor and compile the EAs.
- Attach the EAs to a EUR/USD chart in your MetaTrader 5 terminal.