TRADING CO-PILOT: GEOPOLITICAL SENTIMENT AND EFFECTS
Access real-time market events, sentiment analysis, and AI-powered insights for institutional investment decisions
Overview
Permutable's Geopolitical Intelligence platform offers critical insights into how global political events and shifting international relations impact financial markets. Our system tracks key geopolitical indices, analyses the effects of political developments on asset classes such as energy and currencies, and monitors fiscal policy changes influenced by the geopolitical landscape. By providing real-time data, sentiment analysis, and AI-powered event detection related to political tension, elections, trade disruptions, and international conflicts, we empower institutional investors to navigate market volatility and make informed decisions. The platform allows users to visualise trends, such as the Global Political Tension Index, and understand the direct impact on assets like crude oil and currency pairs, leveraging comprehensive datasets and advanced analytical tools.



Implementation Use Cases
Track Geopolitical Indices & Asset Correlation
Monitor key geopolitical risk indices and their direct correlation with financial assets. Understand how events like elections, international tensions, and policy shifts influence market movements.
Analyse Fiscal Policy in a Geopolitical Context
Gain insights into how government spending, taxation, and stimulus packages are shaped by or react to geopolitical events and international relations.
Leverage Geopolitical Event Data & History
Utilise extensive historical geopolitical event data for backtesting strategies and understanding long-term trends. Identify how past events have shaped current market conditions.
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": -1.96829731437383, "subtopic": "Political-Tension", "topic": "Politics" } }
Sample Data (Sentiment Aggregate)
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