Stock Sentiment Analysis Application

This application fetches stock data using yfinance, analyzes news sentiment using newspaper3k, and provides buy/sell/hold suggestions based on stock sentiment. The app is built with a FastAPI backend and a Next.js frontend.

Features

• Real-time stock data fetching using yfinance.
• News sentiment analysis using newspaper3k and external news sources via newsapi.
• Buy/Sell/Hold recommendations based on sentiment analysis.
• User authentication, stock search, and portfolio features.

Installation

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install required dependencies:

   pip install -r requirements.txt

3. Run the FastAPI backend server:

   uvicorn app.main:app --reload

   The server will start at http://127.0.0.1:8000.

Frontend Setup

1. Navigate to the stock-analyzer-frontend directory:

   cd stock-analyzer-frontend

2. Install required dependencies:

   npm install

3. Run the frontend development server:

   npm run dev

   The frontend will be accessible at http://localhost:3000.

Additional Dependencies for Frontend

If needed, install the following dependencies:

npm install react-loading-skeleton
npm install react-hot-toast