AgenticInvestor

Portugal Rent Inflation

Portugal · Monthly series · EC-PT-RINF

Latest, September 2026

5.2%

+0.00pp from August 2026

Open interactive chartPortugal Rent Inflation in the app

7.23.850.5October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 4.7%, with an 80% interval of 2.9% to 7.0%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20265.2%5.1%5.3%
November 20265.2%5.0%5.3%
December 20265.2%5.1%5.3%
January 20275.0%4.2%5.7%
February 20274.9%4.1%5.6%
March 20274.8%3.8%5.9%
April 20274.8%3.5%6.2%
May 20274.7%3.3%6.4%
June 20274.7%3.1%6.6%
July 20274.7%2.9%7.0%
August 20274.7%2.9%7.0%
September 20274.7%2.9%7.0%

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 81% 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 20265.2%
August 20265.2%
July 20265.3%
June 20265.2%
May 20265.2%
April 20265.1%
March 20265.1%
February 20265.2%
January 20265.1%
December 20254.9%
November 20255.0%
October 20255.0%
September 20255.0%
August 20255.1%
July 20255.1%
June 20255.2%
May 20255.2%
April 20255.3%
March 20255.6%
February 20255.9%
January 20256.5%
December 20247.2%
November 20247.1%
October 20247.2%

Source

Data: public market data feeds.

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