Question 1

What is US CPI doing versus the Fed funds rate?

Accepted Answer

Ask your agent in plain words; it calls get_macro_series. Observations, metadata and a latest/previous/year-ago summary for any of 800,000+ US and international macro series (CPI, GDP, rates, employment, money, trade, housing), with optional source-side transformations (change, % change, year over year, annualized) and frequency aggregation. Find ids with search_macro_series; values are as published.

Question 2

Chart the 10-year minus 2-year Treasury spread.

Accepted Answer

Ask your agent in plain words; it calls get_macro_series. Observations, metadata and a latest/previous/year-ago summary for any of 800,000+ US and international macro series (CPI, GDP, rates, employment, money, trade, housing), with optional source-side transformations (change, % change, year over year, annualized) and frequency aggregation. Find ids with search_macro_series; values are as published.

Parameter	Description
`series_id`required string	Series id. Common ids: CPIAUCSL (CPI, all urban consumers (index)); CPILFESL (Core CPI (index)); PCEPI (PCE price index); UNRATE (Unemployment rate (%)); PAYEMS (Nonfarm payrolls (thousands)); FEDFUNDS (Effective federal funds rate (%)); DFF (Fed funds rate, daily (%)); DGS2 (2-year Treasury yield (%)); DGS10 (10-year Treasury yield (%)); DGS30 (30-year Treasury yield (%)); T10Y2Y (10y–2y Treasury spread (%)); T10Y3M (10y–3m Treasury spread (%)); GDP (US GDP, nominal (billions)); GDPC1 (US real GDP (billions, 2017$)); M2SL (M2 money supply (billions)); MORTGAGE30US (30-year mortgage rate (%)); UMCSENT (Consumer sentiment (Michigan)); RSAFS (Retail sales (millions)); INDPRO (Industrial production (index)); HOUST (Housing starts (thousands)); DCOILWTICO (WTI crude spot ($/bbl)); DEXUSEU (USD per EUR); DEXJPUS (JPY per USD); DTWEXBGS (Trade-weighted dollar index); WALCL (Fed total assets (millions)); BAMLH0A0HYM2 (High-yield credit spread (%)); VIXCLS (VIX close); SP500 (S&P 500 daily close); ICSA (Initial jobless claims); JTSJOL (Job openings (JOLTS, thousands)). Find others with search_macro_series
`start` string	Only observations on or after this date
`end` string	Only observations on or before this date
`units` level \| change \| pct_change \| yoy_change \| yoy_pct \| annualized_pct \| log = "level"	Transformation applied by the database: level as published, change from previous period, % change, change from a year ago, % change from a year ago, compounded annual rate
`frequency` d \| w \| m \| q \| a	Aggregate to this frequency (daily, weekly, monthly, quarterly, annual)
`aggregation` avg \| sum \| eop = "avg"	How to aggregate when changing frequency: average, sum or end of period
`limit` integer = 24	Most recent observations to return

Macro series

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