Latvia Consumer Spending

Latvia · Quarterly series · EC-LV-CS

Latest, Q2 2026

4.63B EUR

+2.4% from Q1 2026

Open interactive chartLatvia Consumer Spending in the app

5.036B3.403B1.769BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 4.72B EUR, with an 80% interval of 4.38B EUR to 5.04B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20264.87B EUR4.71B EUR5.04B EUR
Q4 20264.78B EUR4.65B EUR4.90B EUR
Q1 20274.61B EUR4.36B EUR4.85B EUR
Q2 20274.72B EUR4.38B EUR5.04B EUR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
+20%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
Turning points
14 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
20% lowerError ratio 0.80; 1.00 is a tie.
Tests won
6 / 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

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 20264.63B EUR
Q1 20264.52B EUR
Q4 20254.68B EUR
Q3 20254.80B EUR
Q2 20254.46B EUR
Q1 20254.37B EUR
Q4 20244.63B EUR
Q3 20244.75B EUR
Q2 20244.51B EUR
Q1 20244.27B EUR
Q4 20234.48B EUR
Q3 20234.52B EUR
Q2 20234.30B EUR
Q1 20234.24B EUR
Q4 20224.52B EUR
Q3 20224.61B EUR
Q2 20224.38B EUR
Q1 20224.25B EUR
Q4 20214.37B EUR
Q3 20214.43B EUR
Q2 20214.04B EUR
Q1 20213.73B EUR
Q4 20203.91B EUR
Q3 20204.25B EUR

Source

Data: public market data feeds.

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