How to Track Market News with AI

Financial news moves markets. But the volume of news published daily — across mainstream outlets, SEC filings, industry publications, and social media — makes manual scanning impossible. By the time you have read three full articles, a dozen more have been published.

Traditional news feeds show headlines in reverse chronological order with no intelligence layer. You have to read each headline, decide whether it is relevant, click through to the article, read it, and then assess the impact. This process is slow and creates information gaps during active trading.

Modern AI news systems process each article through a large language model that: generates a 1-2 sentence summary capturing the key information, scores the article for sentiment (bullish, bearish, or neutral), assigns an impact rating (how likely the news is to move prices), extracts mentioned ticker symbols for per-stock filtering, and categorizes the article by topic (earnings, macro, crypto, regulatory, etc.).

This transforms a raw news feed into an actionable intelligence stream. You can scan 50 AI summaries in the time it takes to read 3 full articles.

Start by configuring your news feed to show AI summaries as the primary column instead of full headlines. Add sentiment and impact columns for quick visual scanning. Filter by your watchlist tickers to focus on relevant news.

Set up a broad unfiltered feed on one tab for market-wide awareness, and filtered feeds on other tabs for your active positions. This gives you both breadth and depth without information overload.

Beyond individual article analysis, AI can generate daily market summaries that synthesize the key themes across macro, crypto, and equity markets. A good daily summary covers: major market moves and their drivers, key economic data releases and their implications, notable earnings or corporate events, and crypto market developments.

This is especially valuable for pre-market preparation and end-of-day review.

News analysis is most valuable when integrated with price data. A bearish news sentiment score on a stock that is also showing technical weakness (RSI divergence, broken support) is a stronger signal than either alone. Conversely, a stock that maintains strength despite negative news may signal underlying institutional demand.

The key is speed of integration — seeing the news, the sentiment score, and the chart reaction in one workspace, without switching between tools.