Turn Breaking News into Trading Signals: A DIY News Monitor with Sentiment Analysis

Want to react faster to market-moving news? Learn how to build your own news monitor using RSS feeds and sentiment analysis. This real-time news alert system can be customized to your trading strategy, giving you a competitive edge.

Why Build a News Monitor? Get Real-Time Insights

• Beat the Crowd: React to news events before the mainstream media catches on.
• Tailored to Your Interests: Filter news based on specific keywords and companies.
• Data-Driven Decisions: Use sentiment analysis to gauge market reactions.
• Automated Alerts: Get log messages and instant notifications via Telegram.

How Does This News Monitor Work?

This project uses readily available tools to create a powerful news feed monitoring system:

• RSS Feed Collection: Scrapes news articles from multiple RSS feeds.
• Sentiment Analysis: Uses NLP models to analyze the sentiment (positive, negative, neutral) of each article.
• Alert System: Sends notifications to a Telegram chat based on sentiment and keywords.
• Database Storage: Stores news data in an SQLite database for later analysis and backtesting.

This combination provides insightful financial news alerts you can implement in your trading startegy.

Project Structure: A Modular Design

The project is broken down into manageable modules:

• news_monitor.py: The central coordinator, running all modules.
• rss_feed_parser.py: Parses RSS feeds and extracts news articles.
• db_wrapper.py: Manages database interactions.
• telegram_helpers.py: Sends messages to Telegram.
• sentiment_nlp.py: Performs sentiment analysis.
• config.json: Stores configuration settings.

Get Started: Building Your Own News Alert System

1. Clone the Repository: Get the code from GitHub.
2. Install Dependencies: Run pip install -r requirements.txt.
3. Customize Configuration: Update config.json with your RSS feeds, keywords, and Telegram API details.
4. Run the Monitor: Execute news_monitor.py to start gathering and analyzing news.

Configuration Tips

• Add RSS feeds from reputable financial news sources.
• Choose keywords relevant to your trading strategy (e.g., "Tesla," "inflation," "interest rates").
• Set up a Telegram bot to receive alerts.

Using Your News Monitor: Turning Data into Action

1. Run the news_monitor.py script.
2. News articles will be automatically analyzed and stored in the database.
3. Sentiment-based alerts will be sent to your Telegram chat.

Future Enhancements: Contributing to the Project

• Improved error handling and logging.
• Unit tests to ensure code reliability.
• Advanced features for telegram_parser.py.

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