19 lines
1.3 KiB
Markdown
19 lines
1.3 KiB
Markdown
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# Project Flow
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This document outlines the workflow of the AI-Enhanced MQL5 Trading Bot project.
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1. **Data Export**:
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* The process starts with the `Export_EURUSD_History.mq5` script, which is an MQL5 script that runs on the MetaTrader 5 terminal.
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* This script exports historical price data for the EUR/USD pair to a CSV file named `raw_price_data.csv`.
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2. **Model Training**:
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* The `raw_price_data.csv` file is then used by the Python scripts to train the machine learning models.
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* The `create_benchmark_model.py` script trains a logistic regression model and exports it to `benchmark_logistic_model.onnx`.
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* The `Model_Development.py` script trains a neural network model using hyperparameter tuning and exports it to `trading_neural_network_model.onnx`.
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3. **Trading**:
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* The exported ONNX models are used by the MQL5 Expert Advisors (EAs) to make trading decisions.
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* The `Benchmark_Model_EA.mq5` EA uses the `benchmark_logistic_model.onnx` model.
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* The `Neural_Network_Trader_EA.mq5` EA uses the `trading_neural_network_model.onnx` model.
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* The EAs run on the MetaTrader 5 terminal, and on each new bar, they get the latest price data, feed it to the ONNX model, and execute a trade based on the model's prediction.
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