AgenticInvestor

Hungary GDP From Services

Hungary · Quarterly series · EC-HU-GDPS

Latest, Q2 2026

8.97T HUF

+0.5% from Q1 2026

Open interactive chartHungary GDP From Services in the app

10.13T6.622T3.109TQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 9.09T HUF, with an 80% interval of 7.53T HUF to 10.13T HUF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20268.99T HUF8.86T HUF9.12T HUF
Q4 20269.02T HUF8.68T HUF9.33T HUF
Q1 20279.05T HUF8.26T HUF9.71T HUF
Q2 20279.09T HUF7.53T HUF10.13T HUF

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
-7%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
44%No clear edge over a coin flip (14 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (3 turns, 8 needed) (3 turns in 8 tests, 4 without a turn)
Error vs baseline
7% higherError ratio 1.07; 1.00 is a tie.
Tests won
4 / 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 20268.97T HUF
Q1 20268.93T HUF
Q4 20258.85T HUF
Q3 20258.80T HUF
Q2 20258.77T HUF
Q1 20258.79T HUF
Q4 20248.81T HUF
Q3 20248.73T HUF
Q2 20248.68T HUF
Q1 20248.65T HUF
Q4 20236.37T HUF
Q3 20236.25T HUF
Q2 20236.31T HUF
Q1 20236.32T HUF
Q4 20226.42T HUF
Q3 20226.45T HUF
Q2 20226.49T HUF
Q1 20226.29T HUF
Q4 20216.17T HUF
Q3 20216.04T HUF
Q2 20215.83T HUF
Q1 20215.72T HUF
Q4 20205.59T HUF
Q3 20205.53T HUF

Source

Data: public market data feeds.

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