Thailand Changes In Inventories

Thailand · Quarterly series · EC-TH-IC

Latest, Q2 2026

90.09B THB

+260.0% from Q1 2026

Open interactive chartThailand Changes In Inventories in the app

256.7B-7.287B-271.3BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: -4.74B THB, with an 80% interval of -188.12B THB to 180.10B THB.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026-12.64B THB-271.31B THB256.74B THB
Q4 202685.03B THB12.90B THB154.04B THB
Q1 202743.51B THB-67.08B THB153.82B THB
Q2 2027-4.74B THB-188.12B THB180.10B THB

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
+25%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
Turning points
9 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
25% lowerError ratio 0.75; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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 85% 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 202690.09B THB
Q1 202625.03B THB
Q4 202543.02B THB
Q3 2025-117.95B THB
Q2 2025-100.93B THB
Q1 2025-91.58B THB
Q4 20243.02B THB
Q3 2024-144.08B THB
Q2 2024-89.02B THB
Q1 202452.06B THB
Q4 202378.45B THB
Q3 2023-96.52B THB
Q2 2023-39.12B THB
Q1 202347.52B THB
Q4 2022100.80B THB
Q3 202283.56B THB
Q2 20227.87B THB
Q1 202246.20B THB
Q4 2021133.85B THB
Q3 202138.19B THB
Q2 2021-5.10B THB
Q1 2021122.21B THB
Q4 2020198.75B THB
Q3 2020-100.72B THB

Source

Data: public market data feeds.

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