AgenticInvestor

Lithuania Unemployment Rate

Lithuania · Monthly series · EC-LT-UR

Latest, September 2026

6.2%

+0.10pp from August 2026

Open interactive chartLithuania Unemployment Rate in the app

9.67.525.44October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 6.3%, with an 80% interval of 5.7% to 7.3%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20266.2%5.8%6.7%
November 20266.2%6.0%6.5%
December 20266.2%5.7%6.8%
January 20276.2%5.5%7.0%
February 20276.2%5.4%7.1%
March 20276.2%5.5%7.1%
April 20276.2%5.8%6.8%
May 20276.2%5.9%6.7%
June 20276.3%5.9%6.8%
July 20276.3%5.7%7.1%
August 20276.3%5.8%7.0%
September 20276.3%5.7%7.3%

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

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
+6%Matches the no-change baseline over 12 tests (12 tests, 9 won)
Direction
58%No clear edge over a coin flip (80 of 137 calls right in 12 tests)
Turning points
8 of 43Anticipated some turns (43 turns in 12 tests, 0 without a turn)
Error vs baseline
6% lowerError ratio 0.94; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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 18% of the 119 earlier readings since October 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
September 20266.2%
August 20266.1%
July 20266.2%
June 20266.2%
May 20266.4%
April 20266.4%
March 20267.0%
February 20267.1%
January 20267.1%
December 20256.7%
November 20256.7%
October 20256.7%
September 20256.6%
August 20256.9%
July 20256.8%
June 20257.0%
May 20257.0%
April 20256.9%
March 20256.6%
February 20256.8%
January 20256.8%
December 20246.7%
November 20246.8%
October 20246.8%

Source

Data: public market data feeds.

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