AgenticInvestor

Lithuania Consumer Credit

Lithuania · Monthly series · EC-LT-CCR

Latest, September 2026

2.24B EUR

+1.7% from August 2026

Open interactive chartLithuania Consumer Credit in the app

2.927B1.778B629.5MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 2.52B EUR, with an 80% interval of 2.09B EUR to 2.93B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262.28B EUR2.25B EUR2.33B EUR
November 20262.31B EUR2.25B EUR2.37B EUR
December 20262.33B EUR2.22B EUR2.44B EUR
January 20272.35B EUR2.19B EUR2.51B EUR
February 20272.37B EUR2.14B EUR2.61B EUR
March 20272.40B EUR2.26B EUR2.54B EUR
April 20272.41B EUR2.22B EUR2.60B EUR
May 20272.44B EUR2.23B EUR2.63B EUR
June 20272.46B EUR2.28B EUR2.63B EUR
July 20272.48B EUR2.23B EUR2.71B EUR
August 20272.50B EUR2.17B EUR2.83B EUR
September 20272.52B EUR2.09B EUR2.93B EUR

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

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
+45%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
72%No clear edge over a coin flip (104 of 144 calls right in 12 tests)
Turning points
10 of 36Anticipated some turns (36 turns in 12 tests, 1 without a turn)
Error vs baseline
45% lowerError ratio 0.55; 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
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

That is the highest of the 120 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 20262.24B EUR
August 20262.20B EUR
July 20262.15B EUR
June 20262.11B EUR
May 20261.89B EUR
April 20261.85B EUR
March 20261.88B EUR
February 20261.85B EUR
January 20261.83B EUR
December 20251.80B EUR
November 20251.79B EUR
October 20251.76B EUR
September 20251.73B EUR
August 20251.70B EUR
July 20251.66B EUR
June 20251.61B EUR
May 20251.56B EUR
April 20251.53B EUR
March 20251.49B EUR
February 20251.46B EUR
January 20251.45B EUR
December 20241.42B EUR
November 20241.39B EUR
October 20241.32B EUR

Source

Data: public market data feeds.

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Also stored for Lithuania