Italy Inflation Rate MoM

Italy · Monthly series · EC-IT-IRMM

Latest, October 2026

0.9%

+0.20pp from September 2026

Open interactive chartItaly Inflation Rate MoM in the app

3.51.45-0.6November 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%, with an 80% interval of -0.5% to 2.1%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20260.5%-0.1%1.3%
December 20260.6%0.0%1.4%
January 20270.7%-0.0%1.9%
February 20270.5%-0.2%1.9%
March 20270.6%-0.1%1.7%
April 20270.5%0.1%1.3%
May 20270.5%-0.3%1.8%
June 20270.4%0.2%0.9%
July 20270.4%-0.2%1.7%
August 20270.5%-0.1%1.8%
September 20270.2%-0.5%1.5%
October 20270.4%-0.5%2.1%

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 94% 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 20260.9%
September 20260.7%
August 20260.5%
July 20260.2%
June 20260.0%
May 20260.4%
April 20261.2%
March 20260.5%
February 20260.8%
January 20260.4%
December 20250.2%
November 2025-0.2%
October 2025-0.3%
September 2025-0.2%
August 20250.1%
July 20250.4%
June 20250.2%
May 20250.0%
April 20250.2%
March 20250.4%
February 20250.2%
January 20250.6%
December 20240.1%
November 20240.0%

Source

Data: public market data feeds.

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