Extracting the "dot plot" economic projections posted online by the Federal Open Market Committee
-
Updated
Oct 11, 2026 - Python
Extracting the "dot plot" economic projections posted online by the Federal Open Market Committee
Free CC0 daily dumps of the public record of US markets: congress trades, insider filings, 13F holdings, contracts and grants, lobbying, short volume, patents, congressional hearings, FOMC communications, and more. JSON + Parquet, with a primary-source provenance link on every row. Built by LuxAlgo/market-trackers.
Real-time macroeconomic & financial markets dashboard featuring AI sentiment analysis , Fed Funds backtesting, and live multi-asset tracking
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).
Fully automated macro calendar: FOMC, BOE, ECB, BOJ, US CPI/PPI/NFP in Google Calendar. Completely free (no paid APIs).
Open macro-cycle observatory for current regimes, long-wave history, official macro release ledgers, watchlists, and evidence-gated readings.
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.
Personal monitor of Federal Reserve communications: scrapes Board governor speeches and FOMC docs, scores hawk/dove tone via Claude, alerts on tone shifts.
Projet de NLP appliqué aux conférences de presse du FOMC (2020–2025) visant à analyser l’évolution du discours monétaire de la Réserve fédérale américaine. À travers des méthodes de text mining, TF-IDF, clustering et analyse de sentiments, le projet étudie les thèmes macroéconomiques dominants et leurs corrélations avec les marchés financiers.
美联储主席 Kevin Warsh 首场 FOMC 新闻发布会(2026 年 6 月 17 日)完整中英双语逐字稿。非官方,本地转录整理。
Radar autónomo de inteligencia macroeconómica y política monetaria. Ingesta continua de series FRED, análisis NLP de bancos centrales y síntesis con LLM.
This repository automatically scrapes the past and future FOMC meeting statements & minutes - tracking US monetary policy changes through time.
Leakage-free real-time evaluation of open-weights LLMs for US CPI inflation forecasting. Introduces the memorization premium (seen vs. unseen forecast-error gap) and a three-role decomposition (direct forecaster, FOMC-text extractor, combiner). Reproduces every number in the IJF manuscript's Table 3 from the committed checkpoint.
US economic release calendar from official sources: BLS (NFP, CPI, PPI), BEA (GDP, PCE), Census (retail sales, housing), Fed FOMC decisions and Treasury auctions. Apify actor.
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.
Full-stack ML project predicting US Treasury yield moves after FOMC meetings: DistilBERT sentiment + macro regime classification + walk-forward gradient boosting, with a Next.js dashboard
Calendar-matched FOMC relative-value research across Fed Funds futures, Polymarket and Kalshi: data pipelines, derived results, execution and funding audits.
Financial research CLI built for AI agents and research automation (cron jobs, scripts, pipelines): JSON on stdout, non-interactive, keyless. SEC EDGAR insiders/13F/8-K, FINRA short interest, FRED macro, FOMC odds, full-market screening.
Honors thesis studying FOMC policy surprises, statement tone, and S&P 500 variance through event studies, PCA, and controlled regressions.
To associate your repository with the fomc topic, visit your repo's landing page and select "manage topics."