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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.

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Closing Price GAN

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.

Key Features

  • 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.

Getting Started

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/financial-market-closure-gan.git
    

Running application

  1. Execute with Python

    python GAN.py

About

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.

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