AgenticInvestor

Japan Consumer Confidence Index

Japan · Monthly series · EC-JP-CCI

Latest, October 2026

35.0%

-0.40pp from September 2026

Open interactive chartJapan Consumer Confidence Index in the app

44.633.2521.9November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 37.2%, with an 80% interval of 32.5% to 40.5%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202634.8%34.2%35.3%
December 202634.8%33.3%36.1%
January 202734.8%30.8%38.2%
February 202735.2%30.6%38.9%
March 202735.6%29.5%40.3%
April 202735.8%27.9%41.9%
May 202736.1%30.0%40.9%
June 202736.4%31.8%39.8%
July 202736.5%30.4%41.2%
August 202736.7%31.5%40.4%
September 202736.7%32.4%40.0%
October 202737.2%32.5%40.5%

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 33% 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 202635.0%
September 202635.4%
August 202635.5%
July 202634.9%
June 202633.8%
May 202633.6%
April 202632.2%
March 202633.3%
February 202639.7%
January 202637.6%
December 202536.9%
November 202537.2%
October 202535.9%
September 202535.4%
August 202534.9%
July 202534.0%
June 202534.7%
May 202533.3%
April 202531.5%
March 202533.8%
February 202534.4%
January 202534.8%
December 202435.6%
November 202436.0%

Source

Data: public market data feeds.

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