fred-data

Financial market data consumption skills for claude code and AI agents

Daily-updating dashboard of macroeconomic financial market indicators (FRED, St. Louis Fed) with explanations of relevance to crypto markets.

Box-Jenkins time series analysis and 12-month forecasting of U.S. Bank Deposits & Retail Sales using ARIMA and SARIMA models in R

Production-grade data pipeline that converts raw CMS Medical Loss Ratio filings into reproducible, inflation-adjusted issuer-level panel datasets for advanced analytics and risk modeling.

Automated 11-sector ETF screener using seasonality, economic-cycle fit, relative strength, and a 15-year backtest.

Institutional-grade Fixed Income pricing engine for yield curve bootstrapping and Nelson-Siegel-Svensson (NSS) optimization.

Forecasting unemployment dynamics across 8 economies using XGBoost on multi-country FRED panel data (2000-2024). Features econometric feature attribution analysis.

Python analysis of 72 years of macro and equity data, testing whether inflation and rates predict stock returns.

Analysis of U.S. GDP expenditure components using R, FRED/BEA data, and reproducible data visualization

Tracking Fed runoff, Treasury issuance, reserves, and market intermediation with public data.

Analyse et manipulation de données temporelles de ventes de véhicules issues de FRED avec Pandas et Matplotlib