# FinBrain API

> Alternative financial data APIs for systematic traders and quantitative researchers. Price forecasts, news sentiment analysis, insider transactions, congressional trades, analyst ratings, options put/call ratios, LinkedIn metrics, app store ratings, corporate lobbying, government contracts, and Reddit stock mentions — all via REST API with a Python SDK and MCP integration.

## Documentation Sets

- [Abridged documentation](https://finbrain.tech/llms-small.txt): a compact version of the documentation for FinBrain API, with non-essential content removed
- [Complete documentation](https://finbrain.tech/llms-full.txt): the full documentation for FinBrain API
- [Datasets](https://finbrain.tech/_llms-txt/datasets.txt): Dataset documentation covering what each data type includes, coverage, interpretation, and use cases.
- [API Reference](https://finbrain.tech/_llms-txt/api-reference.txt): Technical API reference with endpoints, parameters, code examples in 5 languages, and response schemas.

## Notes

- The complete documentation includes all content from the official documentation
- The content is automatically generated from the same source as the official documentation

## Optional

- [Blog: Introducing the New FinBrain Suite](/blog/new-finbrain-suite-release/): Product announcement: Terminal, API, SDK, and MCP integration
- [Blog: Why Your AI Assistant Needs Real-Time Market Data](/blog/why-your-ai-needs-real-time-market-data/): How MCP bridges LLMs to live alternative data feeds
- [Blog: How to Use LLMs for Investment Research](/blog/how-to-use-llms-for-investment-research/): Practical guide to AI-powered research workflows with real-time data
- [Blog: Building an Insider Trading Scanner](/blog/building-insider-trading-scanner/): Tutorial: building a scanner with FinBrain insider transactions data
- [Blog: Sentiment-Based Trading Strategies](/blog/sentiment-based-trading-strategies/): Tutorial: using news sentiment data in trading strategies
- [Blog: Congressional Trade Signals](/blog/congressional-trade-signals/): Tutorial: tracking congressional stock trades for signals
- [Blog: How to Track Insider Buying](/blog/how-to-track-insider-buying/): Practical guide to monitoring SEC Form 4 insider purchases
- [Blog: Can AI Predict Stock Prices?](/blog/can-ai-predict-stock-prices/): Explainer on AI price forecasting methods and limitations
- [Blog: What is the Put/Call Ratio?](/blog/what-is-put-call-ratio/): Complete guide to options put/call ratios and sentiment
- [Blog: What is Unusual Options Activity](/blog/what-is-unusual-options-activity/): How to identify and interpret unusual options volume
- [Blog: Understanding Short Interest Data](/blog/understanding-short-interest-data/): Short interest metrics, squeeze mechanics, and contrarian signals
- [Blog: What is SEC Form 4?](/blog/what-is-sec-form-4/): Guide to insider trading disclosure filings
- [Blog: What is the STOCK Act?](/blog/what-is-the-stock-act/): Congressional trading disclosure law explained
- [Blog: What is News Sentiment Analysis?](/blog/what-is-news-sentiment-analysis/): How NLP scores news for trading signals
- [Blog: What Do Analyst Ratings Mean?](/blog/what-do-analyst-ratings-mean/): Buy, hold, sell ratings and price targets explained
- [Blog: What is Alternative Data?](/blog/what-is-alternative-data/): Overview of alternative data types for investors
- [Blog: Using App Store Data for Investing](/blog/using-app-store-data-for-investing/): Mobile app metrics as investment signals
- [Blog: Using LinkedIn Data for Investing](/blog/using-linkedin-data-for-investing/): Employee and follower metrics as company health signals
- [Blog: Reddit Stock Mentions](/blog/reddit-stock-mentions-tracking-retail-buzz/): Tracking retail investor sentiment via subreddit mentions
- [Blog: Corporate Lobbying Data](/blog/corporate-lobbying-data-for-investing/): What lobbying spend reveals about company strategy
- [Blog: Government Contracts Data](/blog/government-contracts-data-for-investing/): Federal contract awards as revenue and growth signals
- [Blog: Patent Filings Data](/blog/patent-filings-data-for-investing/): Innovation signals from patent activity
- [Blog: Combining Alternative Data Signals](/blog/combining-alternative-data-signals/): Tutorial: building a multi-factor scoring system with FinBrain datasets
- [Blog: How Hedge Funds Use Alternative Data](/blog/how-hedge-funds-use-alternative-data/): Institutional alternative data strategies and how retail investors can access similar signals
- [Blog: Alternative Data vs Fundamental Analysis](/blog/alternative-data-vs-fundamental-analysis/): When to use each approach and how to integrate both into your research process
- [Blog: Alternative Data for Institutional Investors](/blog/alternative-data-for-institutional-investors/): How institutional investors evaluate and integrate alternative data APIs into trading dashboards and risk systems
- [Blog: What is 13F Filing Data?](/blog/what-is-13f-filing-data/): Guide to SEC Form 13F institutional holdings data and how investors use hedge fund positions
- [Blog: What is a Stock Prediction Model?](/blog/what-is-a-stock-prediction-model/): Types of stock prediction models from technical analysis to machine learning, and how they work
- [Blog: Understanding Prediction Confidence Intervals](/blog/understanding-prediction-confidence-intervals/): Why confidence intervals matter more than point estimates in stock predictions and how to use them
- [Blog: Stock Prediction APIs: A Developer's Guide](/blog/stock-prediction-api-developers-guide/): How to evaluate and integrate stock prediction APIs into trading systems with Python examples
- [Blog: FinBrain API, SDK & MCP — Now on v2](/blog/v2-api-migration/): v2 migration announcement: simplified API calls, Bearer auth, standardized responses, screener endpoints, async support
- [Blog: Terminal Dashboard, Intelligence, and Markets](/blog/terminal-dashboard-intelligence-markets/): Product update: new Dashboard, Intelligence page, and five asset class dashboards
- [Blog: Geopolitical Risk Monitoring](/blog/geopolitical-risk-monitoring-terminal/): New geopolitical globe, OSINT intel feeds, and prediction markets in FinBrain Terminal
- [Blog: Fixed Income, Commodities, FX Dashboards](/blog/fixed-income-commodities-fx-dashboards/): New asset class dashboards: yield curves, EIA energy data, central bank rates, FX positioning
- [Blog: What is the COT Report?](/blog/what-is-the-cot-report/): CFTC Commitments of Traders report: institutional positioning in futures markets
- [Blog: What is the Treasury Yield Curve?](/blog/what-is-the-treasury-yield-curve/): Treasury yield curve shapes, inversion signals, and recession prediction
- [Blog: What Are Prediction Markets?](/blog/what-are-prediction-markets/): How prediction markets price geopolitical, economic, and political risk with real money
- [Blog: What is the Crypto Fear and Greed Index?](/blog/what-is-the-crypto-fear-and-greed-index/): Crypto Fear and Greed Index: components, contrarian signals, and sentiment analysis
- [Blog: What is OSINT?](/blog/what-is-osint-for-financial-markets/): Open-source intelligence for financial markets: sources, methods, and investment applications
- [Blog: What is the ECB Systemic Stress Index?](/blog/what-is-the-ecb-systemic-stress-index/): ECB CISS indicator: measuring systemic stress across European financial markets
- [Blog: EIA Data Explained](/blog/eia-data-explained-oil-inventories/): EIA crude oil inventories, natural gas storage, and production data for energy trading
- [Blog: Building a Macro Dashboard](/blog/building-a-macro-dashboard-workflow/): Tutorial: daily macro monitoring workflow with yield curves, COT, and prediction markets
- [Blog: Monitoring Geopolitical Risk](/blog/monitoring-geopolitical-risk-tutorial/): Tutorial: using the geopolitical globe, intel feed, and prediction markets for risk monitoring
- [Blog: Cross-Asset COT Signal Analysis](/blog/cross-asset-cot-signal-analysis/): Tutorial: combining CFTC positioning across asset classes for crowded trade detection
- [Blog: Tracking Federal Contracts](/blog/tracking-federal-contracts-investment-signals/): Tutorial: using the Government Contracts screener to identify companies with federal revenue momentum
- [Blog: Reddit Mentions + Sentiment](/blog/reddit-mentions-and-sentiment-together/): Tutorial: combining Reddit mention spikes with news sentiment for multi-signal analysis
- [Blog: Why Statistical Models Beat Deep Learning for Price Forecasting](/blog/why-statistical-models-beat-deep-learning-for-price-forecasting/): Why FinBrain chose ARIMA over neural networks for stock price forecasting — the overfitting, scale, and interpretability tradeoffs
- [Blog: How to Read ARIMA Price Forecasts](/blog/how-to-read-arima-price-forecasts/): Practical guide to interpreting mid, lower, upper bounds and using confidence intervals in trading decisions