AI Financial Feeds: Real-time sentiment analysis for financial news

What did we create?

AI Financial Feeds by Pragmatic Coders acts as a smart, sentiment-aware news dashboard for financial markets, automatically categorizing and summarizing market-related news in a user-friendly way.

Key Features

• News Aggregation: The tool pulls in stories (e.g., about company stocks, currency pairs, and broader financial events).
• AI Sentiment Indicators: Each story is automatically labeled with “Bullish,” “Neutral,” or “Bearish” to indicate how the news might affect market sentiment.
• Impact Level: Stories are marked with a “Low,” “Medium,” or “High” impact label, showing how significant the news could be for markets.
• Assets Overview: The tool summarizes overall sentiment for different asset types—like stocks, USD/MXN, and USD/CAD—based on the aggregated news.
• Chat with AI Assistant: There is a built-in assistant feature that can respond to queries or provide more context about the news items.

Process

1. Fetch News Items: The system automatically retrieves new articles or posts from an RSS feed whenever they appear.
2. Clean and Format: The raw HTML is scrubbed of unnecessary tags (like scripts or ads), and the remaining content is converted to Markdown for easier processing.
3. Prepare Data: Key details (title, content, source) are extracted and saved to variables so that each article is ready for analysis.
4. AI Analysis: An AI model (e.g., ChatGPT – we chose GPT-4o due to its easy integration and fast response time ) classifies the article, summarizes it, determines sentiment (“Bullish,” “Neutral,” “Bearish”), and assigns an impact level (“Low,” “Medium,” “High”).
5. Categorize by Asset Type: Based on the AI’s analysis, articles are routed into different categories—such as stocks, forex, crypto—to reflect which market sector each article impacts.
6. Store Results: For each category, final data (including sentiment and impact scores) is aggregated and saved into a database (e.g., Airtable) for easy reference and further analysis.

Challenges

As always with AI solutions, the main challenge proved to be correctly gathering and formatting the data so that it could be processed by AI algorithms. A particularly critical aspect was the scraping and conversion of HTML content to Markdown, which required precisely defining the necessary data elements and extracting them.

Benefits

With AI Financial Feeds, users can quickly scan the site to see which assets or market sectors are seeing the most positive or negative press.

It helps traders, analysts, or anyone interested in finance keep a pulse on the latest market-moving headlines and gauge sentiment shifts as they happen.