Portugal Residential Property Prices

Portugal · Quarterly series · EC-PT-RPP

Latest, Q2 2026

16.5 pts

-7.3% from Q1 2026

Open interactive chartPortugal Residential Property Prices in the app

20.36.009-8.284Q3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 13.8 pts, with an 80% interval of 10.3 pts to 17.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202615.5 pts12.4 pts18.6 pts
Q4 202614.3 pts10.6 pts18.0 pts
Q1 202714.0 pts7.2 pts20.3 pts
Q2 202713.8 pts10.3 pts17.1 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+17%Beats the no-change baseline over 8 tests (8 tests, 8 won)
Direction
91%Beats a coin flip (29 of 32 calls right in 8 tests)
Turning points
6 of 14Anticipated some turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
17% lowerError ratio 0.83; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
78%Observed outcomes inside the band across all stored test windows.
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.

Replay past tests

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 90% of the 39 earlier readings since Q3 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
Q2 202616.5 pts
Q1 202617.8 pts
Q4 202518.9 pts
Q3 202517.7 pts
Q2 202517.2 pts
Q1 202516.3 pts
Q4 202411.6 pts
Q3 20249.8 pts
Q2 20247.8 pts
Q1 20247.0 pts
Q4 20237.8 pts
Q3 20237.6 pts
Q2 20238.7 pts
Q1 20238.7 pts
Q4 202211.3 pts
Q3 202213.2 pts
Q2 202213.2 pts
Q1 202213.0 pts
Q4 202111.6 pts
Q3 202111.5 pts
Q2 20217.8 pts
Q1 20216.6 pts
Q4 20207.9 pts
Q3 20206.9 pts

Source

Data: public market data feeds.

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