Multi Agent System Architecture For Federal Funds Target Rate Prediction

by chirindaopensource• 12•• Scanned•Claim this listing•Request removal
Learning Resourcesagent based modelingchain of draft reasoningcomputational financecrewaifed sight ai

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).

Multi Agent System Architecture For Federal Funds Target Rate Prediction is an open-source ai agent by chirindaopensource, written mainly in Jupyter Notebook, with 12 GitHub stars and the MIT license. Its code was last updated Jan 3, 2026.

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