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fed-sight-ai

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chirindaopensource / multi_agent_system_architecture_for_federal_funds_target_rate_prediction

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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).

python nlp machine-learning time-series openai agent-based-modeling federal-reserve multi-agent-systems computational-finance macroeconomics monetary-policy fomc financial-forecasting interest-rate-prediction in-context-learning llm prompt-engineering crewai chain-of-draft-reasoning fed-sight-ai
  • Updated Jan 3, 2026
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