MT5-PY-AI-Tbot/howtorun.md

How to Run

Prerequisites

• MetaTrader 5 terminal installed.
• Python 3.x installed.
• 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:

   pip install pandas scikit-learn skl2onnx onnxruntime
   

Running the project

1. Export Price Data:

   • Open the MetaEditor in your MetaTrader 5 terminal.
   • Open the Export_EURUSD_History.mq5 file.
   • 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.
   • Copy the raw_price_data.csv file to the root of the project directory.

2. Train the Models:

   • 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
     

3. Run the Expert Advisors:

   • Copy the Benchmark_Model_EA.mq5 and Neural_Network_Trader_EA.mq5 files to the MQL5/Experts directory of your MetaTrader 5 installation.
   • Copy the benchmark_logistic_model.onnx and trading_neural_network_model.onnx files 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.