AI/ML app that analyzes news sentiment for stocks and crypto.

Live Demo: Coming soon

• Real-time News Fetch: Gets latest news for any stock ticker
• Sentiment Analysis: Uses NLP to determine positive/negative/neutral sentiment
• Visualization: Interactive charts showing sentiment over time
• Score Calculation: Composite sentiment score (-100 to +100)
• Keyword Extraction: Identifies key themes and topics

• Python - Core language
• Streamlit - Web UI
• Transformers - Hugging Face sentiment model
• NewsAPI - News data (free tier)
• Plotly - Interactive visualizations

# Clone and setup
git clone https://github.com/ianalloway/stock-sentiment-analyzer.git
cd stock-sentiment-analyzer

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run app.py

1. Enter a stock ticker (e.g., AAPL, TSLA, BTC)
2. Select number of articles to analyze
3. View sentiment analysis results
4. See composite score and visualizations

stock-sentiment-analyzer/
├── app.py              # Streamlit UI
├── analyzer.py         # Sentiment analysis logic
├── news_fetcher.py     # News API integration
├── requirements.txt    # Dependencies
└── README.md

• NewsAPI: Get free key at https://newsapi.org

Set as environment variable:

export NEWS_API_KEY=your_key_here

MIT - Ian Alloway