StockSphere

StockSphere is a comprehensive stock dashboard providing real-time stock insights, analytics, and predictions. Built using Streamlit, it offers an interactive interface for users to explore stock prices, fundamental data, news sentiment analysis, and future price predictions.

Features

• Real-time stock data using Yahoo Finance API
• Interactive charts for stock price movements
• Fundamental data including market cap, revenue, and industry details
• News sentiment analysis to gauge market sentiment
• Stock price predictions powered by Prophet
• User-friendly interface with an intuitive layout

Deployment

StockSphere is live at: StockSphere Web App

Installation

To run this project locally, follow these steps:

# Clone the repository
git clone https://github.com/Azeen3003/StockSphere.git
cd StockSphere

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run main.py

Requirements

Ensure you have the following dependencies installed:

streamlit
yfinance
numpy
pandas
plotly
textblob
prophet

Usage

1. Enter a stock ticker symbol in the sidebar.
2. Select the desired time period.
3. View interactive stock charts and fundamental data.
4. Explore sentiment analysis of stock-related news.
5. Forecast stock prices using AI-powered predictions.

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

License

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