New: Fixed Income, Commodities, and FX Dashboards in FinBrain Terminal
FinBrain Terminal now covers fixed income with yield curves and central bank rates, commodities with EIA energy data, and currencies with Fed and ECB FX rates.
Insights on AI-powered trading and alternative data
FinBrain Terminal now covers fixed income with yield curves and central bank rates, commodities with EIA energy data, and currencies with Fed and ECB FX rates.
FinBrain Terminal now includes an interactive geopolitical globe, OSINT intelligence feeds, and prediction markets for tracking global risk events that move markets.
The FinBrain Terminal now includes a real-time Dashboard, Intelligence page with geopolitical monitoring, and dedicated dashboards for equities, fixed income, commodities, currencies, and crypto.
FinBrain v2 brings simplified API calls, Bearer token auth, standardized responses, 11 screener endpoints, async support, and more.
How institutional investors evaluate and integrate alternative data APIs into trading dashboards, risk systems, and research platforms. Covers API requirements, integration patterns, and vendor selection.
How to evaluate and integrate stock prediction APIs into trading systems. Covers API requirements, integration patterns, and practical Python examples for building prediction-powered applications.
Learn why confidence intervals matter more than point estimates in stock predictions. How to interpret prediction ranges, use uncertainty for position sizing, and avoid the trap of false precision.
Learn what stock prediction models are, how they work, and the different approaches—from technical analysis to machine learning. Understand the strengths and limitations of each method.
Learn what SEC Form 13F is, how to interpret institutional holdings data, and how investors use hedge fund positions to inform their own strategies.
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.