This repository contains a Generative Adversarial Network (GAN) model designed to predict the closing prices in the financial market. The GAN utilizes a combination of generator and discriminator networks to generate synthetic closing price data, which can be used for forecasting and analysis purposes.
- GAN architecture specifically tailored for predicting market closure.
- Trained on historical financial data to generate realistic closing price predictions.
- Enables exploration and experimentation with GAN-based market forecasting techniques.
- Includes pre-processing and evaluation scripts for data preparation and model performance assessment.
- Offers a comprehensive set of documentation and examples for easy implementation and usage.
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Clone the repository:
git clone https://github.com/your-username/financial-market-closure-gan.git
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Execute with Python
python GAN.py