Laos Balance Of Trade

Laos · Quarterly series · EC-LA-BOT

Latest, Q2 2026

189.1M USD

-65.3% from Q1 2026

Open interactive chartLaos Balance Of Trade in the app

1.147B258.4M-630.1MQ1 2004Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 254.4M USD, with an 80% interval of -285.2M USD to 747.9M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026361.6M USD-85.8M USD752.5M USD
Q4 2026256.2M USD-409.6M USD873.1M USD
Q1 2027380.0M USD-532.8M USD1.15B USD
Q2 2027254.4M USD-285.2M USD747.9M USD

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 8 tests (8 tests, 5 won)
Direction
53%No clear edge over a coin flip (17 of 32 calls right in 8 tests)
Turning points
11 of 19Anticipated most turns (19 turns in 8 tests, 0 without a turn)
Error vs baseline
3% lowerError ratio 0.97; 1.00 is a tie.
Tests won
5 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
94%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 54% of the 39 earlier readings since Q3 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
Q2 2026189.1M USD
Q1 2026545.6M USD
Q4 2025330.6M USD
Q3 2025592.1M USD
Q2 2025443.8M USD
Q1 2025639.9M USD
Q4 2024359.3M USD
Q3 2024178.6M USD
Q2 2024-71.8M USD
Q1 2024257.1M USD
Q4 2023-170.9M USD
Q3 2023212.2M USD
Q2 2023266.9M USD
Q1 2023413.0M USD
Q4 202283.3M USD
Q3 2022174.2M USD
Q2 2022230.8M USD
Q1 2022465.8M USD
Q4 2021311.0M USD
Q3 2021501.9M USD
Q2 2021291.6M USD
Q1 2021315.0M USD
Q4 2020216.8M USD
Q3 2020395.1M USD

Source

Data: public market data feeds.

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