AgenticInvestor

Lithuania Unemployed Persons

Lithuania · Monthly series · EC-LT-UP

Latest, September 2026

141,500.0 pts

-2.8% from August 2026

Open interactive chartLithuania Unemployed Persons in the app

282K201.5K121KOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 136,796.0 pts, with an 80% interval of 120,951.6 pts to 153,934.9 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026139,357.7 pts134,158.7 pts144,479.8 pts
November 2026142,142.8 pts136,632.2 pts147,742.2 pts
December 2026148,776.1 pts142,550.0 pts154,800.8 pts
January 2027153,212.4 pts147,019.8 pts158,825.3 pts
February 2027152,159.0 pts144,418.3 pts159,402.0 pts
March 2027147,561.5 pts135,354.8 pts159,607.1 pts
April 2027140,980.4 pts127,174.9 pts154,851.2 pts
May 2027136,717.3 pts124,525.0 pts149,415.9 pts
June 2027136,165.2 pts122,169.5 pts150,571.1 pts
July 2027139,514.0 pts123,246.6 pts156,218.3 pts
August 2027139,528.7 pts125,233.9 pts154,154.7 pts
September 2027136,796.0 pts120,951.6 pts153,934.9 pts

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
+3%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
63%No clear edge over a coin flip (90 of 143 calls right in 12 tests)
Turning points
36 of 47Anticipated most turns (47 turns in 12 tests, 0 without a turn)
Error vs baseline
3% lowerError ratio 0.97; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 15% 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 2026141,500.0 pts
August 2026145,610.0 pts
July 2026145,660.0 pts
June 2026141,600.0 pts
May 2026145,440.0 pts
April 2026146,870.0 pts
March 2026155,270.0 pts
February 2026163,660.0 pts
January 2026164,210.0 pts
December 2025159,330.0 pts
November 2025154,540.0 pts
October 2025149,810.0 pts
September 2025150,675.0 pts
August 2025160,275.0 pts
July 2025156,437.0 pts
June 2025153,360.0 pts
May 2025153,940.0 pts
April 2025155,770.0 pts
March 2025162,580.0 pts
February 2025166,560.0 pts
January 2025168,270.0 pts
December 2024163,560.0 pts
November 2024156,590.0 pts
October 2024152,930.0 pts

Source

Data: public market data feeds.

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