Financial market data consumption skills for claude code and AI agents
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Updated
Jun 14, 2026 - Python
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.
Forecasting unemployment dynamics across 8 economies using XGBoost on multi-country FRED panel data (2000-2024). Features econometric feature attribution analysis.
Tracking Fed runoff, Treasury issuance, reserves, and market intermediation with public data.
Institutional-grade Fixed Income pricing engine for yield curve bootstrapping and Nelson-Siegel-Svensson (NSS) optimization.
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
Analyse et manipulation de données temporelles de ventes de véhicules issues de FRED avec Pandas et Matplotlib
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