Alternative Data vs Traditional Fundamental Analysis
Understand when to use alternative data versus traditional fundamental analysis, how they complement each other, and how to integrate both into your investment process.
Insights on AI-powered trading and alternative data
Understand when to use alternative data versus traditional fundamental analysis, how they complement each other, and how to integrate both into your investment process.
Learn how to combine insider transactions, sentiment, options flow, and analyst ratings into a unified scoring system using Python and the FinBrain API.
Discover how institutional investors use satellite imagery, sentiment analysis, insider filings, and other alternative data to gain an edge—and how retail investors can access similar signals.
A practical guide to using large language models for investment research: screening stocks, synthesizing data, and building AI-powered research workflows with real-time market data.
Learn what short interest is, how to interpret short interest ratios and days-to-cover, and why short squeezes happen when bears get crowded.
Learn what unusual options activity is, how to identify it using put/call ratios and volume data, and what it signals about institutional positioning.
LLMs have knowledge cutoffs that limit investment research. Learn how MCP bridges the gap by connecting AI assistants to live alternative data feeds.
Learn how patent filing data reveals R&D priorities, competitive positioning, and potential revenue streams for technology and pharmaceutical companies.
Learn how government contract data reveals revenue opportunities, competitive positioning, and growth catalysts for defense, tech, and healthcare companies.
Learn how corporate lobbying data can provide insights into company priorities, regulatory risks, and potential policy tailwinds for investors.
Learn how Reddit stock mentions from WallStreetBets and other subreddits can signal retail investor interest and potential stock moves.
Learn how to use LinkedIn employee counts and follower growth as alternative data signals for investment analysis and company research.
Learn how to use app store ratings, downloads, and reviews as alternative data for investment analysis and company research.
Learn how to track insider buying activity, filter for meaningful signals, and use executive purchases to inform your investment decisions.
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.
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.
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.
Learn what news sentiment analysis is, how it works, and how traders use sentiment scores to gauge market mood and make informed decisions.
Learn what the STOCK Act is, how it requires members of Congress to disclose their stock trades, and how investors use this data.
Learn what SEC Form 4 is, how to read insider trading filings, and how investors use this data to identify potential trading opportunities.
Learn what the put/call ratio is, how to interpret it, and how traders use this sentiment indicator to gauge market direction.
Learn how to build trading signals from US House and Senate trading data. Track congressional stock trades and identify potential opportunities.
Learn how to build trading strategies using FinBrain news sentiment data. Combine sentiment scores with other signals for systematic trading.
Learn how to build an insider trading scanner using the FinBrain API. Detect significant insider purchases and sales in real-time.
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