Portugal Retail Sales YoY

Portugal · Monthly series · EC-PT-RSYY

Latest, September 2026

0.1%

-1.90pp from August 2026

Open interactive chartPortugal Retail Sales YoY in the app

29.33.75-21.8October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1.6%, with an 80% interval of -1.6% to 4.1%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20261.0%-1.5%3.4%
November 20260.9%-3.3%4.7%
December 20261.1%-3.4%5.2%
January 20271.0%-1.3%3.0%
February 20271.0%-3.3%4.9%
March 20270.9%-1.7%3.0%
April 20271.0%-2.9%4.3%
May 20271.1%-3.8%5.2%
June 20271.2%-2.8%4.4%
July 20271.2%-2.6%4.2%
August 20271.3%-1.2%3.3%
September 20271.6%-1.6%4.1%

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 13% 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 20260.1%
August 20262.0%
July 20262.6%
June 20262.7%
May 20262.8%
April 20264.9%
March 20266.0%
February 20262.8%
January 20264.4%
December 20252.8%
November 20256.5%
October 20254.3%
September 20255.3%
August 20254.4%
July 20256.2%
June 20255.8%
May 20255.3%
April 20253.0%
March 20254.0%
February 20254.5%
January 20255.5%
December 20245.1%
November 20245.5%
October 20245.7%

Source

Data: public market data feeds.

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