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Trading Co-Pilot: Macroeconomic, Polical and Natural Disasters

Access real-time market events, sentiment analysis, and AI-powered insights for institutional investment decisions

Overview

Understanding the economy requires a comprehensive look at key components such as economic data, fiscal policy, and monetary policy. Economic data includes critical indicators like employment rates, GDP growth, inflation, and manufacturing output, offering a snapshot of economic health that helps guide decisions for businesses, investors, and policymakers. Fiscal policy, managed by the government, involves adjusting spending and taxation to influence economic activity—stimulating growth during downturns or cooling inflation during periods of rapid expansion. Complementing this, monetary policy is driven by central banks, which regulate the supply of money and interest rates to achieve goals such as price stability and economic growth. By adjusting interest rates or implementing measures like quantitative easing, central banks directly influence borrowing, investment, and consumer behavior. Together, these elements form the foundation of economic management and stability.

Implementation Use Cases

Economic, Fiscal and Monetary Policy

Access broad and deep coverage across all major asset classes and geographies. Our platform captures:

Reaction around economic data releases

Fiscal stimulus and government spending

Soverign credit risk

Natural Disasters and Political Events

Coverage of global events such as extreme weather, geopolitics, and natural disasters.

Hurricanes, floods, and earthquakes

Tariffs and trade wars

Political tension and elections

Large Datasets

Unlock a decade of structured news intelligence for robust backtesting and research

Systematic testing and strategy

10 Years of hourly data

Choose from 10,000's of top source material

Permutable Co-Pilot API enables programmatic access to structured news data with millisecond latency and enterprise-grade reliability. Full documentation is available at https://copilot-api.permutable.ai/redoc, including Python, R, and Java client libraries with webhook support.

API Reference

GET /v1/macro/sentiment/V1
Retrieves aggregated sentiment data for macroeconomic topics over a specified date range. Filters by news sources and strictness of extraction time are available. V1 of the macro topic sentiment data.

GET /v1/macro/sentiment/V1

Parameters

Name	Description
`start_date` string (date-time, query)	Start date to filter by. Must be less than 30 days ago.
`end_date` string (date-time, query)	End date to filter by. Must be less than 30 days ago.
`sources` array<string> (query)	List of sources to filter by. Get these from GET /sources.
`strict` boolean (query)	Only consider articles that were extracted within the hourly decision window. Articles found after the window but published within are disregarded. Useful when aligning with live data during historic lookbacks. Default value: false

Responses

Code	Description	Links
200	Successful Response	No links

Response Example

{
  "macro": {
    "publication_time": "2022-01-01T01:00:00",
    "sentiment_count": 1,
    "sentiment_sum": 3.96829731437383,
    "subtopic": "Inflation",
    "topic": "Economic Data"
  }
}

API Documentation

Sample Data (Sentiment Aggregate)