AgenticInvestor

Japan Food Inflation YoY

Japan · Monthly series · EC-JP-FI

Latest, September 2026

2.8%

-0.30pp from August 2026

Open interactive chartJapan Food Inflation YoY in the app

93.572-1.856October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 2.7%, with an 80% interval of -0.8% to 6.8%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262.7%1.3%4.1%
November 20262.6%0.9%4.4%
December 20262.7%-0.5%6.0%
January 20272.8%-1.9%7.6%
February 20272.6%-1.5%7.2%
March 20272.7%-0.3%6.0%
April 20272.8%-1.3%7.3%
May 20272.9%-0.8%7.1%
June 20272.9%-0.1%6.4%
July 20272.7%0.3%5.6%
August 20272.7%-1.4%7.6%
September 20272.7%-0.8%6.8%

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 50% 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 20262.8%
August 20263.1%
July 20263.5%
June 20263.2%
May 20263.5%
April 20263.5%
March 20263.6%
February 20264.0%
January 20263.9%
December 20255.1%
November 20256.1%
October 20256.4%
September 20256.7%
August 20257.2%
July 20257.6%
June 20257.2%
May 20256.5%
April 20256.5%
March 20257.4%
February 20257.6%
January 20257.8%
December 20246.4%
November 20244.8%
October 20243.5%

Source

Data: public market data feeds.

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