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.
Empirical analysis of the crowding-out effect: does US federal debt reduce private investment? (FRED annual data, 1967-2025)
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.
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
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