StressGen

Documentation / Data Sources — FRED, Market Data & Prediction Markets

Data Sources — FRED, Market Data & Prediction Markets

12+ live data sources including FRED, Yahoo Finance, ECB, Tavily news, Reddit sentiment, Kalshi and Polymarket prediction markets.

Table of Contents

Overview

StressGen enriches AI-generated scenarios with real-world data from multiple sources. When you create a scenario, you choose which data feeds to include. More data sources generally produce more informed and nuanced results.

Data sources are organized into five categories: Economic Data, News & Search, Market Data, Social Sentiment, and Prediction Markets.

Economic Data

Economic data provides the foundation for scenario generation. These sources deliver up-to-date macroeconomic indicators that help the AI understand current economic conditions and calibrate shock magnitudes accordingly.

  • FRED (Federal Reserve Economic Data) — The primary source for US economic indicators — GDP growth, unemployment rate, inflation, Treasury yields, and hundreds of other series maintained by the Federal Reserve Bank of St. Louis.
  • FED (Federal Reserve) — Direct Federal Reserve data including policy statements, meeting minutes context, and official economic projections.
  • ECB (European Central Bank) — European economic data including Eurozone GDP, inflation, and ECB policy rate information.

News & Search

News sources provide current events context that helps the AI understand the market narrative surrounding your scenario. Recent headlines and analysis influence how the AI interprets your scenario description.

  • Tavily (News) — AI-optimized search engine that finds the most relevant financial news articles for your scenario topic.
  • Tavily (Web Research) — Broader web research for analyst reports, commentary, and research papers beyond news headlines.

Market Data

Market data sources provide real-time and historical prices for stocks, bonds, commodities, and currencies. This data establishes the baseline values that shocks are measured against.

  • Yahoo Finance — Real-time and historical prices for equities, ETFs, indices, commodities, and currency pairs.

Social Sentiment

Social sentiment data captures how retail investors and the broader public are reacting to market events. While not a primary driver of shock calculations, sentiment signals can provide early indicators of market stress or euphoria.

  • Reddit — Monitors financial communities for retail investor sentiment, trending topics, and emerging market narratives.

Prediction Markets

Prediction markets aggregate crowd-sourced probability estimates for future events. These provide a market-based signal for the likelihood of specific economic outcomes.

  • Kalshi — US-regulated prediction market offering probabilities on economic events, Fed rate decisions, and market milestones.
  • Polymarket — Decentralized prediction market covering a wide range of economic and geopolitical events.

Configuring Data Sources

When creating or editing a scenario, you'll see data source cards organized by category. Toggle individual sources on or off based on your needs:

  • Enabled by default: FRED, Tavily, and Yahoo Finance are turned on for new scenarios
  • Optional sources: Toggle additional feeds like Reddit sentiment, prediction markets, or alternative news providers
  • Coming soon: Bloomberg, Reuters, and SEC EDGAR integrations are planned for future releases
Tip
For regulatory scenarios, we recommend keeping FRED and at least one news source enabled. For exploratory scenarios, try adding prediction markets and social sentiment for a broader perspective.