Stock Prediction APIs: A Developer's Guide
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.
Tutorials - Blog
Tutorials
Tutorials
Step-by-step guides, code walkthroughs, and how-tos
Combining Alternative Data Signals: A Practical Framework
Learn how to combine insider transactions, sentiment, options flow, and analyst ratings into a unified scoring system using Python and the FinBrain API.
How to Use LLMs for Investment Research
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.
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.
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.