# 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`. ## Installation 1. **Clone the repository** to your local machine. 2. **Install the required Python libraries** using pip: ```bash pip install -r requirements.txt ``` ## Running the project 1. **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. 2. **Train the Models**: * Navigate to the `separate_codes` directory in your terminal. * Run the `create_benchmark_model.py` script to create the benchmark model. ```bash python create_benchmark_model.py ``` * Run the `Model_Development.py` script to train the neural network model. ```bash python Model_Development.py ``` 3. **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.