Understanding Short Interest Data: What It Tells Investors
Learn what short interest is, how to interpret short interest ratios and days-to-cover, and why short squeezes happen when bears get crowded.
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FinBrain Blog
Insights on AI-powered trading and alternative data
What is Unusual Options Activity and Why Traders Watch It
Learn what unusual options activity is, how to identify it using put/call ratios and volume data, and what it signals about institutional positioning.
Why Your AI Assistant Needs Real-Time Market Data
LLMs have knowledge cutoffs that limit investment research. Learn how MCP bridges the gap by connecting AI assistants to live alternative data feeds.
Patent Filings Data: What Innovation Signals Mean for Investors
Learn how patent filing data reveals R&D priorities, competitive positioning, and potential revenue streams for technology and pharmaceutical companies.
Government Contracts Data: Tracking Federal Spending for Investment Signals
Learn how government contract data reveals revenue opportunities, competitive positioning, and growth catalysts for defense, tech, and healthcare companies.
Corporate Lobbying Data: What It Reveals About Company Strategy
Learn how corporate lobbying data can provide insights into company priorities, regulatory risks, and potential policy tailwinds for investors.
Reddit Stock Mentions: Tracking Retail Investor Buzz
Learn how Reddit stock mentions from WallStreetBets and other subreddits can signal retail investor interest and potential stock moves.
Using LinkedIn Data for Investing: Employee and Follower Metrics
Learn how to use LinkedIn employee counts and follower growth as alternative data signals for investment analysis and company research.
Using App Store Data for Investing: A Guide to Mobile Metrics
Learn how to use app store ratings, downloads, and reviews as alternative data for investment analysis and company research.
How to Track Insider Buying: A Practical Guide
Learn how to track insider buying activity, filter for meaningful signals, and use executive purchases to inform your investment decisions.
Can AI Predict Stock Prices? What You Need to Know
Explore how AI and machine learning are used for stock price prediction, their limitations, and how to use AI forecasts as part of a broader strategy.
What is Alternative Data? A Guide for Investors
Learn what alternative data is, explore common types like satellite imagery, app data, and social sentiment, and discover how investors use it for alpha generation.
What Do Analyst Ratings Mean? Buy, Hold, Sell Explained
Learn what analyst ratings like Buy, Hold, and Sell mean, how price targets work, and how to use Wall Street research in your investment decisions.
What is News Sentiment Analysis? A Guide for Traders
Learn what news sentiment analysis is, how it works, and how traders use sentiment scores to gauge market mood and make informed decisions.
What is the STOCK Act? Congressional Trading Disclosure Explained
Learn what the STOCK Act is, how it requires members of Congress to disclose their stock trades, and how investors use this data.
What is SEC Form 4? A Complete Guide to Insider Trading Filings
Learn what SEC Form 4 is, how to read insider trading filings, and how investors use this data to identify potential trading opportunities.
What is the Put/Call Ratio? A Complete Guide
Learn what the put/call ratio is, how to interpret it, and how traders use this sentiment indicator to gauge market direction.
Congressional Trade Signals
Learn how to build trading signals from US House and Senate trading data. Track congressional stock trades and identify potential opportunities.
Sentiment-Based Trading Strategies
Learn how to build trading strategies using FinBrain news sentiment data. Combine sentiment scores with other signals for systematic trading.
Building an Insider Trading Scanner
Learn how to build an insider trading scanner using the FinBrain API. Detect significant insider purchases and sales in real-time.
Introducing the New FinBrain Suite: Terminal, API, SDK, and MCP
We've rebuilt the entire FinBrain platform from the ground up. Better data consistency, sub-second response times, and a smoother experience across all products.