Stock Predictor

Stock analysis with ML forecasting, technical analysis, and sentiment analysis.

AI Models & Algorithms

Machine Learning Forecasting

• Deep Learning: LSTM, GRU, CNN-LSTM (TensorFlow.js) - Neural networks for complex pattern recognition
• Statistical: ARIMA, Prophet-Lite - Time series forecasting with trend + seasonality detection
• Ensemble: Weighted combination of all models for optimal accuracy
• Traditional: Linear Regression, Exponential Moving Average

Technical Analysis & Patterns

• Indicators: Moving Averages (20/50/200-day), RSI, MACD, Bollinger Bands
• Pattern Detection: Trendlines, wedges, triangles, channels, double tops/bottoms, head & shoulders
• Chart Frequencies: 5m, 15m, 1H, 1D, 1W, 1M intervals

News Sentiment Analysis

• Rule-based NLP: Lightweight sentiment engine optimized for serverless
• Negation Detection: "not good", "no growth" → flips sentiment
• Intensity Modifiers: "very", "extremely" → boosts score strength
• Financial Keywords: 100+ domain-specific terms (earnings beat, stock surge, etc.)
• Comparative Language: "better than expected", "missed estimates"
• Pattern Matching: Percentage gains/losses detection

Market Analysis

• Trading Signals: Buy/sell recommendations from MA crossovers, RSI, MACD, Bollinger Bands
• Volume Analysis: Identifies unusual trading activity
• Momentum: Price action and trend strength indicators

Prerequisites

• Node.js 18+ installed
• NewsAPI key (free from newsapi.org)
• Alpha Vantage API key (free from alphavantage.co)
• MASSIVE API key (optional - for company logos and info)

Installation

1. Clone the repository:

git clone https://github.com/sankeer28/stock-predictor.git
cd stock-predictor

2. Install dependencies:

npm install

3. Create .env.local file:

cp .env.local.example .env.local

4. Add your NewsAPI key to .env.local:

NEWS_API_KEY=your_api_key_here

5. Run the development server:

npm run dev

6. Open http://localhost:3000 in your browser

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Disclaimer

This tool is for educational and research purposes only. Stock predictions are inherently uncertain and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making investment decisions.