Liechtenstein Balance Of Trade

Liechtenstein · Quarterly series · EC-LI-BOT

Latest, Q3 2026

410.00M CHF

+9.9% from Q2 2026

Open interactive chartLiechtenstein Balance Of Trade in the app

481M334.5M188MQ1 2009Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 387.99M CHF, with an 80% interval of 312.74M CHF to 460.07M CHF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 2026402.90M CHF353.51M CHF448.70M CHF
Q1 2027397.42M CHF356.39M CHF434.79M CHF
Q2 2027389.67M CHF295.38M CHF481.01M CHF
Q3 2027387.99M CHF312.74M CHF460.07M CHF

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
+35%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
84%No clear edge over a coin flip (27 of 32 calls right in 8 tests)
Turning points
6 of 13Anticipated some turns (13 turns in 8 tests, 0 without a turn)
Error vs baseline
35% lowerError ratio 0.65; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 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 72% of the 39 earlier readings since Q4 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
Q3 2026410.00M CHF
Q2 2026373.00M CHF
Q1 2026364.00M CHF
Q4 2025398.00M CHF
Q3 2025345.00M CHF
Q2 2025385.00M CHF
Q1 2025418.00M CHF
Q4 2024403.00M CHF
Q3 2024391.00M CHF
Q2 2024415.00M CHF
Q1 2024406.00M CHF
Q4 2023428.00M CHF
Q3 2023354.00M CHF
Q2 2023414.00M CHF
Q1 2023439.00M CHF
Q4 2022380.00M CHF
Q3 2022366.00M CHF
Q2 2022348.00M CHF
Q1 2022387.00M CHF
Q4 2021392.00M CHF
Q3 2021432.00M CHF
Q2 2021458.00M CHF
Q1 2021462.00M CHF
Q4 2020382.00M CHF

Source

Data: public market data feeds.

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