AgenticInvestor

Lithuania Producer Price Index

Lithuania · Monthly series · EC-LT-PPI

Latest, October 2026

138.4 pts

+0.4% from September 2026

Open interactive chartLithuania Producer Price Index in the app

166.1126.486.6November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 136.7 pts, with an 80% interval of 109.2 pts to 165.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026137.7 pts133.3 pts142.1 pts
December 2026137.6 pts130.8 pts144.2 pts
January 2027138.0 pts127.8 pts148.0 pts
February 2027138.2 pts126.9 pts149.6 pts
March 2027138.1 pts120.0 pts156.2 pts
April 2027137.8 pts124.8 pts150.9 pts
May 2027137.4 pts121.4 pts153.7 pts
June 2027137.2 pts116.8 pts158.2 pts
July 2027137.2 pts114.2 pts160.7 pts
August 2027137.1 pts109.1 pts165.6 pts
September 2027137.0 pts109.1 pts166.1 pts
October 2027136.7 pts109.2 pts165.2 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
0%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
62%No clear edge over a coin flip (90 of 144 calls right in 12 tests)
Turning points
7 of 45Anticipated some turns (45 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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

That is the highest of the 120 readings since November 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
October 2026138.4 pts
September 2026137.8 pts
August 2026132.8 pts
July 2026131.3 pts
June 2026128.3 pts
May 2026131.4 pts
April 2026132.4 pts
March 2026129.2 pts
February 2026117.9 pts
January 2026116.4 pts
December 2025115.7 pts
November 2025117.8 pts
October 2025117.1 pts
September 2025117.1 pts
August 2025117.0 pts
July 2025117.5 pts
June 2025117.1 pts
May 2025116.5 pts
April 2025117.1 pts
March 2025119.6 pts
February 2025121.4 pts
January 2025120.9 pts
December 2024119.3 pts
November 2024118.7 pts

Source

Data: public market data feeds.

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