📈 StockView

StockView is a desktop web application for real-time stock market analysis. It combines interactive data visualization, anomaly detection, news sentiment insights, and machine learning–based price predictions into a single dashboard.

🚀 Live Deployment:

• Frontend (Vercel) → View App
• Backend (Railway)

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✨ Features

• Real-time Stock Data → Current price, open, high, low, and volume.

• Interactive Charts → Zoom/pan with SMA, anomaly highlights, and prediction overlays.

• Technical Indicators → SMA, RSI, MACD, Bollinger Bands, ATR, and more.

• Anomaly Detection → Detects unusual price movements via Z-score.

• Machine Learning Predictions →

  • Algorithms: Linear Regression, Random Forest, XGBoost, LightGBM, CNN.
  • Metrics: R², MAE, MSE.
  • Algorithm comparison dashboard.

• News & Sentiment Analysis → Headlines with Positive/Neutral/Negative labels and sentiment charts.

• Watchlist → Add/remove stock symbols, synced with Firebase.

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🏗️ Tech Stack

Frontend (React + Vite)

• React + Hooks for state management
• Recharts for interactive visualization
• TailwindCSS for UI styling
• Firebase (Cloud Firestore) for watchlist persistence

Backend (FastAPI)

• FastAPI for REST API
• Yahoo Finance (yfinance) for stock data
• VADER Sentiment Analyzer for news sentiment
• ML Models: scikit-learn, XGBoost, LightGBM, TensorFlow (CNN)
• Technical indicators with ta library

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📂 Project Structure

StockView/
│── frontend/
│   ├── App.jsx        # React app (UI and chart logic)
│   └── ...
│
│── backend/
│   ├── main.py        # FastAPI backend with endpoints
│   └── ...
│
│── README.md

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🖼️ Preview

Replace the placeholder images above with actual screenshots of your app for a better showcase.

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⚙️ Local Development

Backend (FastAPI)

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

Runs at → http://localhost:8000

Frontend (React + Vite)

cd frontend
npm install
npm run dev

Runs at → http://localhost:5173

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🖥️ Usage

1. Search for a stock symbol (e.g., AAPL, TSLA).
2. Explore real-time price charts with SMA and anomalies.
3. Toggle ML predictions and model comparison.
4. Check news headlines with sentiment analysis.
5. Save your favorite stocks in the watchlist.

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⚠️ Disclaimer

This project is for educational purposes only. Predictions and insights are not financial advice.

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📌 Notes

• Optimized for desktop browsers only (not mobile responsive).
• Requires valid API keys (News API, Firebase, etc.).
• Works best on Chrome, Edge, or Firefox.