Stock Price Prediction Platform

A stock price prediction platform built using Flask, React, and Python, providing users with up-to-date predictions and analysis with statistical and deep learning models like ARIMA, Regression, LSTM, and CNN.

Technologies Used

• Flask: Micro web framework for building web applications in Python.
• React: JavaScript library for building user interfaces.
• Python: Programming language used for backend logic and machine learning models.
• TensorFlow, Keras, Scikit-learn: Libraries for implementing machine learning models.
• Pandas: For effective data preprocessing and analysis.
• Docker: Containerization for deployment.
• AWS: Cloud hosting and scaling.

Features

• Real-time stock trend predictions leveraging ARIMA, GARCH, LSTM, and CNN models.
• Machine learning models developed with TensorFlow, Keras, and Scikit-learn for stock trend analysis.
• Pandas for efficient data preprocessing, enabling handling and analysis of vast financial data.
• Docker for streamlined deployment and scaling on AWS, ensuring reliable handling of user demand.

Installation

To start or clone the project, follow these steps:

Docker Compose Setup

1. Clone the Repository:

   git clone https://github.com/your/repository.git

2. Navigate to the Project Directory:

   cd project-directory

3. Start the Application:

   docker-compose up

4. Access the Application: Open a browser and visit the appropriate URL to view the app.

Ensure the ports are correctly exposed and mapped within the docker-compose.yml file according to your application's requirements. This setup uses Docker Compose to orchestrate the containerized services.

Regular Setup

1. Clone the Repository:

   git clone https://github.com/RaghavVerma24/StockBuddy.git

2. Navigate to the Project Directory:

   cd StockBuddy

3. Install Dependencies:

   • Backend (Flask - Python):

     cd flask-server
     pip install -r requirements.txt

   • Frontend (React):

     npm install

4. Start the Servers:

   • Backend (Flask):

     cd flask-server
     python server.py

   • Frontend (React/Vite):

     npm run dev

Contributing

Feel free to contribute to this project by submitting a pull request adhering to the project's coding standards and practices.

License

This project is open-source and available under the MIT License.