Portugal Consumer Spending

Portugal · Quarterly series · EC-PT-CS

Latest, Q2 2026

37.73B EUR

+0.9% from Q1 2026

Open interactive chartPortugal Consumer Spending in the app

39.83B31.83B23.83BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 38.37B EUR, with an 80% interval of 36.27B EUR to 39.83B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202637.88B EUR37.50B EUR38.22B EUR
Q4 202638.05B EUR37.21B EUR38.75B EUR
Q1 202738.21B EUR36.78B EUR39.28B EUR
Q2 202738.37B EUR36.27B EUR39.83B EUR

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

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
0%Matches the no-change baseline over 8 tests (8 tests, 6 won)
Direction
72%No clear edge over a coin flip (23 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (6 turns, 8 needed) (6 turns in 8 tests, 3 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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

That is the highest of the 40 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 202637.73B EUR
Q1 202637.40B EUR
Q4 202537.19B EUR
Q3 202536.90B EUR
Q2 202536.36B EUR
Q1 202536.18B EUR
Q4 202436.15B EUR
Q3 202435.38B EUR
Q2 202435.09B EUR
Q1 202434.76B EUR
Q4 202334.74B EUR
Q3 202334.13B EUR
Q2 202334.20B EUR
Q1 202334.24B EUR
Q4 202233.91B EUR
Q3 202233.64B EUR
Q2 202233.17B EUR
Q1 202233.34B EUR
Q4 202132.89B EUR
Q3 202132.54B EUR
Q2 202131.91B EUR
Q1 202129.65B EUR
Q4 202030.99B EUR
Q3 202031.14B EUR

Source

Data: public market data feeds.

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