Portugal Harmonised Inflation Rate YoY

Portugal · Monthly series · EC-PT-HIRYY

Latest, October 2026

3.9%

+0.30pp from September 2026

Open interactive chartPortugal Harmonised Inflation Rate YoY in the app

10.64.9-0.8November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 4.0%, with an 80% interval of 0.1% to 8.1%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20264.0%3.3%4.6%
December 20264.0%2.2%5.8%
January 20274.0%2.3%5.7%
February 20274.0%1.7%6.4%
March 20274.0%2.3%5.7%
April 20274.0%2.3%5.8%
May 20274.0%1.0%7.1%
June 20274.0%3.1%4.9%
July 20274.0%2.2%5.9%
August 20274.0%1.1%7.0%
September 20274.0%0.2%8.1%
October 20274.0%0.1%8.1%

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 83% 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 20263.9%
September 20263.6%
August 20263.6%
July 20263.1%
June 20263.1%
May 20263.1%
April 20263.3%
March 20262.7%
February 20262.1%
January 20261.9%
December 20252.4%
November 20252.1%
October 20252.0%
September 20251.9%
August 20252.5%
July 20252.5%
June 20252.1%
May 20251.7%
April 20252.1%
March 20251.9%
February 20252.5%
January 20252.7%
December 20243.1%
November 20242.7%

Source

Data: public market data feeds.

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