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monetary-policy

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An installable agent skill for macroeconomic nowcasting and monetary-policy analysis. Structural statistical baselines with ML calibration for GDP forecasts and policy-rate signals (US and Canada), with out-of-sample backtesting, data-timing controls, and interpretable model comparisons.

  • Updated Oct 8, 2026
  • Python

End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).

  • Updated Jan 3, 2026
  • Jupyter Notebook

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