Italy GDP From Services
Italy · Quarterly series · EC-IT-GDPS
Latest, Q2 2026
322.44B EUR
+0.4% from Q1 2026
Forecast
Forecast for Q2 2027: 324.59B EUR, with an 80% interval of 285.81B EUR to 354.35B EUR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 323.03B EUR | 318.94B EUR | 327.23B EUR |
| Q4 2026 | 323.57B EUR | 314.61B EUR | 331.85B EUR |
| Q1 2027 | 324.03B EUR | 313.01B EUR | 333.12B EUR |
| Q2 2027 | 324.59B EUR | 285.81B EUR | 354.35B EUR |
AI confidence
Weak evidenceThe serving forecast made larger errors than the no-change baseline in these tests.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- -17%Trails the no-change baseline over 8 tests (8 tests, 4 won)
- Direction
- 62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
- Turning points
- 4 of 11Anticipated some turns (11 turns in 8 tests, 1 without a turn)
- Error vs baseline
- 17% higherError ratio 1.17; 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-14 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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
That is the highest of the 40 readings since Q3 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 322.44B EUR |
| Q1 2026 | 321.21B EUR |
| Q4 2025 | 319.90B EUR |
| Q3 2025 | 319.66B EUR |
| Q2 2025 | 320.38B EUR |
| Q1 2025 | 320.36B EUR |
| Q4 2024 | 320.52B EUR |
| Q3 2024 | 320.73B EUR |
| Q2 2024 | 320.76B EUR |
| Q1 2024 | 299.76B EUR |
| Q4 2023 | 299.21B EUR |
| Q3 2023 | 298.94B EUR |
| Q2 2023 | 298.28B EUR |
| Q1 2023 | 298.52B EUR |
| Q4 2022 | 296.13B EUR |
| Q3 2022 | 296.25B EUR |
| Q2 2022 | 293.77B EUR |
| Q1 2022 | 289.09B EUR |
| Q4 2021 | 288.51B EUR |
| Q3 2021 | 286.55B EUR |
| Q2 2021 | 277.09B EUR |
| Q1 2021 | 269.41B EUR |
| Q4 2020 | 268.66B EUR |
| Q3 2020 | 270.77B EUR |
Source
Data: public market data feeds.
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