Euro Area GDP YoY

Euro Area · Quarterly series · EC-EU-GDPYY

Latest, Q3 2026

1.3%

+0.10pp from Q2 2026

Open interactive chartEuro Area GDP YoY in the app

15.30.75-13.8Q4 1996Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 1.6%, with an 80% interval of -0.5% to 3.5%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 20261.4%0.8%2.0%
Q1 20271.5%0.1%2.9%
Q2 20271.6%-0.5%3.5%
Q3 20271.6%-0.5%3.5%

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
+12%Beats the no-change baseline over 8 tests (8 tests, 3 won)
Direction
58%No clear edge over a coin flip (18 of 31 calls right in 8 tests)
Turning points
2 of 8Anticipated some turns (8 turns in 8 tests, 0 without a turn)
Error vs baseline
12% lowerError ratio 0.88; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 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 four classes, subject to call budgets and retry limits.

Reading

It is above 41% of the 39 earlier readings since Q4 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
Q3 20261.3%
Q2 20261.2%
Q1 20260.6%
Q4 20251.1%
Q3 20251.1%
Q2 20251.4%
Q1 20251.6%
Q4 20241.6%
Q3 20241.3%
Q2 20241.0%
Q1 20241.0%
Q4 20230.3%
Q3 20230.2%
Q2 20230.5%
Q1 20231.2%
Q4 20222.2%
Q3 20223.0%
Q2 20224.4%
Q1 20225.6%
Q4 20215.7%
Q3 20215.3%
Q2 202115.3%
Q1 20210.3%
Q4 2020-3.7%

Source

Data: public market data feeds.

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