Slovenia GDP From Construction

Slovenia · Quarterly series · EC-SI-GDPC

Latest, Q2 2026

689.80M EUR

+24.3% from Q1 2026

Open interactive chartSlovenia GDP From Construction in the app

977.3M640.9M304.4MQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 677.69M EUR, with an 80% interval of 402.53M EUR to 977.31M EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026705.43M EUR624.11M EUR789.56M EUR
Q4 2026731.90M EUR570.42M EUR895.33M EUR
Q1 2027602.40M EUR420.19M EUR823.38M EUR
Q2 2027677.69M EUR402.53M EUR977.31M EUR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

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
+13%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
72%No clear edge over a coin flip (23 of 32 calls right in 8 tests)
Turning points
14 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
13% lowerError ratio 0.87; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
81%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 92% 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 2026689.80M EUR
Q1 2026555.10M EUR
Q4 2025730.80M EUR
Q3 2025645.20M EUR
Q2 2025595.20M EUR
Q1 2025485.70M EUR
Q4 2024627.30M EUR
Q3 2024636.80M EUR
Q2 2024640.10M EUR
Q1 2024648.30M EUR
Q4 2023724.60M EUR
Q3 2023712.60M EUR
Q2 2023682.20M EUR
Q1 2023583.40M EUR
Q4 2022653.50M EUR
Q3 2022602.10M EUR
Q2 2022564.00M EUR
Q1 2022506.80M EUR
Q4 2021588.10M EUR
Q3 2021567.70M EUR
Q2 2021537.00M EUR
Q1 2021477.10M EUR
Q4 2020552.70M EUR
Q3 2020511.10M EUR

Source

Data: public market data feeds.

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