StockSeer-API (Stock Price Prediction API)

This project is a FastAPI application that predicts the closing stock price for a given company based on user-specified parameters. It utilizes various machine learning models for prediction, including:

• RandomForestRegressor 🌳
• ExtraTreesRegressor 🌲
• XGBRegressor 🚀
• LinearRegression ➖
• KNeighborsRegressor 🤝
• LSTM implementation 🔄

Data Source:

This application utilizes the Yahoo Finance API to retrieve historical stock data for training and prediction purposes.

Features✨

• Download and preprocess historical stock data
• Train a stock price prediction model of your choice
• Make predictions on future closing stock prices

Working Prototype

Example: Predicting oogle Stock Price

Input	Response	raph

Installation

1. Ensure you have Python installed.
2. Create a new virtual environment (recommended).
3. Activate the virtual environment.
4. Install required dependencies:

pip install -r requirements.txt

Usage

1. Run the application:

uvicorn app:app --reload

2. Access the API documentation in your web browser: http://127.0.0.1:8000/docs

The documentation provides instructions on interacting with the API to make predictions.

Credits

• Maira Usman: Developed the GUI for this project. You can find the code here: Link to StockSeer-Frontend.

Disclaimer

Important: Stock price prediction is inherently uncertain. This application should not be used for making financial decisions.