Thailand Car Production

Thailand · Monthly series · EC-TH-CAP

Latest, September 2026

120,319.0 pts

-3.5% from August 2026

Open interactive chartThailand Car Production in the app

198.8K111.8K24.71KOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 120,610.8 pts, with an 80% interval of 93,191.2 pts to 148,805.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026119,441.8 pts106,931.0 pts131,298.3 pts
November 2026122,407.5 pts105,341.9 pts138,917.4 pts
December 2026109,557.4 pts90,775.1 pts126,962.6 pts
January 2027113,490.1 pts100,641.4 pts125,832.7 pts
February 2027116,100.7 pts100,356.5 pts131,770.1 pts
March 2027126,875.7 pts110,719.1 pts143,905.9 pts
April 202793,676.4 pts70,382.2 pts114,774.4 pts
May 2027115,240.5 pts91,670.0 pts138,580.2 pts
June 2027114,787.8 pts93,546.7 pts135,849.7 pts
July 2027110,895.3 pts93,621.4 pts127,961.5 pts
August 2027113,467.8 pts90,607.8 pts136,504.5 pts
September 2027120,610.8 pts93,191.2 pts148,805.0 pts

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
+23%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
73%No clear edge over a coin flip (105 of 144 calls right in 12 tests)
Turning points
71 of 80Anticipated most turns (80 turns in 12 tests, 0 without a turn)
Error vs baseline
23% lowerError ratio 0.77; 1.00 is a tie.
Tests won
10 / 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

It is above 22% of the 119 earlier 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 2026120,319.0 pts
August 2026124,646.0 pts
July 2026117,383.0 pts
June 2026120,391.0 pts
May 2026114,214.0 pts
April 2026103,794.0 pts
March 2026133,413.0 pts
February 2026117,952.0 pts
January 2026118,386.0 pts
December 2025113,855.0 pts
November 2025130,222.0 pts
October 2025135,685.0 pts
September 2025128,104.0 pts
August 2025112,366.0 pts
July 2025110,616.0 pts
June 2025130,223.0 pts
May 2025139,186.0 pts
April 2025104,250.0 pts
March 2025129,909.0 pts
February 2025115,487.0 pts
January 2025107,103.0 pts
December 2024104,878.0 pts
November 2024118,842.0 pts
October 2024118,842.0 pts

Source

Data: public market data feeds.

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