Portugal Harmonised Inflation Rate MoM

Portugal · Monthly series · EC-PT-HIRMM

Latest, October 2026

0.0%

-1.00pp from September 2026

Open interactive chartPortugal Harmonised Inflation Rate MoM in the app

2.850.425-2November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: -0.0%, with an 80% interval of -0.9% to 0.9%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026-0.6%-1.3%0.0%
December 2026-0.2%-0.5%0.0%
January 2027-0.6%-1.3%0.3%
February 20270.1%-0.1%0.3%
March 20272.1%1.3%2.8%
April 20271.4%0.9%2.0%
May 20270.5%-0.7%2.1%
June 20270.2%-0.6%1.0%
July 2027-0.4%-1.0%0.2%
August 20270.1%-0.2%0.5%
September 20271.0%0.1%2.0%
October 2027-0.0%-0.9%0.9%

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 48% 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 20260.0%
September 20261.0%
August 20260.3%
July 2026-0.3%
June 20260.1%
May 20260.4%
April 20261.9%
March 20262.3%
February 20260.1%
January 2026-1.0%
December 20250.0%
November 2025-0.9%
October 2025-0.3%
September 20251.0%
August 2025-0.1%
July 2025-0.3%
June 20250.1%
May 20250.6%
April 20251.3%
March 20251.7%
February 2025-0.1%
January 2025-0.6%
December 2024-0.3%
November 2024-1.0%

Source

Data: public market data feeds.

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