United States Durable Goods Orders Excluding Defense

United States · Monthly series · EC-US-DGOED

Latest, September 2026

2.3 pts

+666.7% from August 2026

Open interactive chartUnited States Durable Goods Orders Excluding Defense in the app

15.7-1.5-18.7October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 0.4 pts, with an 80% interval of -3.8 pts to 4.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20260.2 pts-2.4 pts2.6 pts
November 2026-0.8 pts-4.8 pts2.6 pts
December 20261.0 pts-2.0 pts4.3 pts
January 20270.7 pts-4.6 pts6.1 pts
February 20270.2 pts-4.1 pts4.2 pts
March 20270.6 pts-4.9 pts6.1 pts
April 20270.1 pts-4.0 pts4.0 pts
May 20270.5 pts-3.4 pts4.4 pts
June 20270.5 pts-6.5 pts7.5 pts
July 20270.3 pts-5.3 pts5.7 pts
August 20270.4 pts-3.6 pts4.2 pts
September 20270.4 pts-3.8 pts4.4 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 75% of the 119 earlier readings since October 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
September 20262.3 pts
August 20260.3 pts
July 20261.4 pts
June 20260.4 pts
May 2026-4.3 pts
April 20268.5 pts
March 2026-0.3 pts
February 2026-1.2 pts
January 20260.2 pts
December 2025-1.9 pts
November 20256.6 pts
October 2025-1.3 pts
September 20250.1 pts
August 20251.9 pts
July 2025-2.4 pts
June 2025-9.4 pts
May 202515.7 pts
April 2025-7.7 pts
March 20259.0 pts
February 20250.6 pts
January 20251.0 pts
December 20240.3 pts
November 2024-0.6 pts
October 20240.1 pts

Source

Data: public market data feeds.

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