Atlanta Fed GDPNow

GDPNow is the Atlanta Fed's real-time forecast model of current-quarter US real GDP growth. The model is updated 6-7 times per quarter as new data releases arrive (retail sales, ISM, employment, trade, housing, durable goods, etc.) and combines them into a real-time nowcast that approximates the BEA's quarterly GDP estimate methodology.

Why it matters: GDPNow is the most-cited high-frequency growth indicator in macro markets. Bond traders use it to position for the BEA's advance GDP release (typically 4-5 weeks after quarter-end), while equity strategists use it to gauge whether earnings expectations are aligned with growth reality. The model has tracked the BEA advance estimate within 0.5-1.0pp on average since launch in 2014, with larger errors during volatile periods (2020 COVID, 2022 inventory swings).

Q1 2026 GDPNow tracked sub-2% growth through the quarter, with the BEA Q1 2026 advance estimate showing approximately +2.0% real GDP growth (released April 29, 2026, alongside the FOMC decision). The current Q2 2026 GDPNow reading begins at trend (2-3%) and will update as ISM, retail sales, NFP, and trade data are released in May-July.

The current data backdrop is mixed: unemployment at 4.3% has stabilized rather than continued rising (which would have triggered Sahm Rule); industrial production is stable; retail sales nominal-print is firm but real-spending growth has decelerated; housing remains pressured by 6.23% mortgage rates. The April 29 Fed hold with rising cut probability reflects an economy at trend growth with above-target inflation. GDPNow tracking sustainably above 2.5% supports the no-cuts narrative; below 1.5% would force cuts on Fed dual mandate.

GDPNow range since 2014 launch: -52% Q2 2020 (COVID lockdown peak negative print, the deepest quarterly contraction in modern history), +33% Q3 2020 (rebound), -1.5% Q1 2022 (inventory effect, the model accurately captured the technical contraction), +5.6% Q3 2024 (election-quarter spending plus inventory build). The drivers are 30+ different data releases weighted by the model methodology; the largest single contributors are personal consumption expenditures (PCE, which is 70% of GDP), nonresidential investment (capex), and net exports.

First, mid-quarter trajectory. The model converges toward the eventual BEA estimate over the quarter; large mid-quarter swings signal data divergence.

Second, the implied PCE and capex contributions. These are the two largest GDP components; weakness in either drives the model lower regardless of other contributions.

Third, the spread between GDPNow and consensus economist forecasts (Bloomberg or Reuters). Sustained gaps signal that the model is capturing data that economists are not, which has historically been predictive.