United States Richmond Fed Manufacturing Index

United States · Monthly series · EC-US-RFMI

Latest, October 2026

-2.0 pts

0.0 pts from September 2026

Open interactive chartUnited States Richmond Fed Manufacturing Index in the app

28-13.5-55November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: -0.4 pts, with an 80% interval of -18.8 pts to 15.9 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026-0.8 pts-8.9 pts6.9 pts
December 2026-0.7 pts-10.3 pts8.5 pts
January 2027-0.9 pts-17.0 pts14.3 pts
February 2027-0.5 pts-23.2 pts20.5 pts
March 2027-0.0 pts-14.5 pts13.0 pts
April 20270.1 pts-18.3 pts16.6 pts
May 2027-0.3 pts-18.8 pts16.5 pts
June 2027-0.2 pts-26.6 pts23.3 pts
July 2027-0.4 pts-23.7 pts20.3 pts
August 2027-0.4 pts-28.5 pts24.6 pts
September 2027-0.1 pts-26.6 pts23.1 pts
October 2027-0.4 pts-18.8 pts15.9 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 37% of the 119 earlier readings since November 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
October 2026-2.0 pts
September 2026-2.0 pts
August 20264.0 pts
July 20265.0 pts
June 20264.0 pts
May 202613.0 pts
April 20263.0 pts
March 20260.0 pts
February 2026-10.0 pts
January 2026-6.0 pts
December 2025-7.0 pts
November 2025-15.0 pts
October 2025-4.0 pts
September 2025-17.0 pts
August 2025-7.0 pts
July 2025-20.0 pts
June 2025-8.0 pts
May 2025-9.0 pts
April 2025-13.0 pts
March 2025-4.0 pts
February 20256.0 pts
January 2025-4.0 pts
December 2024-10.0 pts
November 2024-14.0 pts

Source

Data: public market data feeds.

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