AgenticInvestor

Latvia Full Time Employment

Latvia · Quarterly series · EC-LV-FTE

Latest, Q2 2026

745,300.0 pts

+1.0% from Q1 2026

Open interactive chartLatvia Full Time Employment in the app

984.3K838.9K693.6KQ2 1998Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 749,538.8 pts, with an 80% interval of 707,286.0 pts to 789,526.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026747,314.0 pts737,084.4 pts758,015.5 pts
Q4 2026743,897.0 pts717,935.7 pts769,337.4 pts
Q1 2027737,517.2 pts693,554.8 pts779,741.8 pts
Q2 2027749,538.8 pts707,286.0 pts789,526.5 pts

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

AI confidence

Weak evidence

The serving forecast made larger errors than the no-change baseline in these tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-18%Trails the no-change baseline over 8 tests (8 tests, 4 won)
Direction
53%No clear edge over a coin flip (17 of 32 calls right in 8 tests)
Turning points
11 of 13Anticipated most turns (13 turns in 8 tests, 0 without a turn)
Error vs baseline
18% higherError ratio 1.18; 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
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 5% 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 2026745,300.0 pts
Q1 2026737,600.0 pts
Q4 2025759,900.0 pts
Q3 2025762,200.0 pts
Q2 2025771,400.0 pts
Q1 2025751,900.0 pts
Q4 2024751,500.0 pts
Q3 2024770,700.0 pts
Q2 2024773,400.0 pts
Q1 2024768,000.0 pts
Q4 2023768,500.0 pts
Q3 2023781,100.0 pts
Q2 2023783,200.0 pts
Q1 2023768,700.0 pts
Q4 2022787,200.0 pts
Q3 2022795,300.0 pts
Q2 2022789,200.0 pts
Q1 2022762,200.0 pts
Q4 2021765,200.0 pts
Q3 2021765,400.0 pts
Q2 2021757,800.0 pts
Q1 2021740,500.0 pts
Q4 2020767,100.0 pts
Q3 2020786,700.0 pts

Source

Data: public market data feeds.

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