Extracting the "dot plot" economic projections posted online by the Federal Open Market Committee

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).

Agentic RAG system using LangGraph to analyse FOMC documents, detect monetary policy shifts, and identify contradictions across Federal Reserve meetings. Built with Pinecone, GPT-4o, FastAPI, and evaluated with RAGAS.

A command-line tool for analyzing Federal Reserve policy scenarios by finding historical analogues based on unemployment and inflation conditions.

This repository automatically scrapes the past and future FOMC meeting statements & minutes - tracking US monetary policy changes through time.

Empirical macro-finance project on FOMC statement entropy and post-meeting VIX reactions

Output Federal Reserve FOMC Meeting Dates in a plain text ISO date format for further use elsewhere

Study of the impact of monetary policy and central bank sentiment on gold price dynamics. Built a dataset combining quantitative market variables and qualitative FOMC-statement features, then evaluated predictive power through rolling Ridge regression and GARCH models.

A multimodal RAG pipeline for complex financial analysis, combining vision-based table extraction (Qwen2-VL) with hybrid retrieval and code-driven visualization.

Personal monitor of Federal Reserve communications: scrapes Board governor speeches and FOMC docs, scores hawk/dove tone via Claude, alerts on tone shifts.

FOMC sentiment resources linked to FinBERT aspect classification model