Deep Research for Macro & Policy Researchers
Learn how Macro & Policy Researchers can utilize Winus to connect complex geopolitical trends to direct market impacts.
Overview
Macroeconomic research requires analyzing the world simultaneously—connecting policy shifts in one hemisphere to supply chain bottlenecks in another. The Winus Economic Database covers over 257 countries and 13 million indicators, giving you the scale necessary to perform true global macro analysis.
Key Workflows for Macro Researchers
1. Analyzing Global Policy Shifts
When a central bank pivots or new tariffs are announced, the cascading effects must be mapped instantly.
- The Prompt: "Analyze the historical market impact of US tariff increases on the Japanese automotive sector, cross-referencing with Yen/USD exchange rate volatility during those periods."
- The Result: Winus utilizes its massive FICC and Economic databases to draw correlations, outputting a highly structured report comparing historical precedents to current conditions.
2. Identifying Supply Chain Vulnerabilities
Geopolitical disruptions require granular supply chain analysis.
- The Workflow: Winus natively features industry linkages covering 6,631 industries with over 160,000 upstream-downstream links.
- The Application: Ask Winus to trace an upstream commodity shortage (e.g., rare earth metals) through to its downstream consumer tech impact, visualizing the data with heatmaps and performance metrics.
3. Alternative Data for Policy Tracking
Official government data is often lagging. Stay ahead by using Alternative Data metrics.
- The Workflow: Instruct the AI to cross-reference official GDP announcements against real-time urban nighttime light data or high-frequency online sales data to verify the actual economic reality on the ground.
Automating the Macro Data Watch
Macro indicators are released on strict schedules (CPI, Non-Farm Payrolls, etc.).
- Navigate to the Skill Market.
- Deploy the Macro Data Watch Skill.
- Configure the Agent to automatically parse the release data, compare it against consensus estimates, and generate a reusable structured view with a traceable evidence chain the moment the data hits the wire.