Thailand Current Account

Thailand · Monthly series · EC-TH-CA

Latest, September 2026

-1.60B USD

-4.00B USD from August 2026

Open interactive chartThailand Current Account in the app

7.48B505.6M-6.469BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 709.0M USD, with an 80% interval of -4.48B USD to 5.58B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026-222.3M USD-4.33B USD3.56B USD
November 2026118.7M USD-1.31B USD1.45B USD
December 20261.33B USD-1.75B USD4.26B USD
January 2027776.1M USD-3.00B USD4.44B USD
February 20272.55B USD-1.64B USD6.39B USD
March 20271.07B USD-4.49B USD6.34B USD
April 2027-1.64B USD-5.87B USD2.00B USD
May 2027-1.82B USD-6.22B USD2.12B USD
June 2027-208.0M USD-6.47B USD5.54B USD
July 2027-184.6M USD-4.33B USD3.74B USD
August 2027620.7M USD-5.66B USD6.49B USD
September 2027709.0M USD-4.48B USD5.58B USD

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
+24%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
74%No clear edge over a coin flip (106 of 144 calls right in 12 tests)
Turning points
56 of 81Anticipated most turns (81 turns in 12 tests, 0 without a turn)
Error vs baseline
24% lowerError ratio 0.76; 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
82%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 12% 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 2026-1.60B USD
August 20262.40B USD
July 2026700.0M USD
June 2026-1.77B USD
May 2026-6.13B USD
April 2026-4.32B USD
March 20261.73B USD
February 20262.57B USD
January 20263.60B USD
December 20254.43B USD
November 20251.09B USD
October 2025-820.0M USD
September 20254.28B USD
August 20251.76B USD
July 20251.65B USD
June 20253.01B USD
May 2025-240.0M USD
April 2025-860.0M USD
March 20252.52B USD
February 20257.48B USD
January 20254.71B USD
December 20243.38B USD
November 20241.91B USD
October 20242.11B USD

Source

Data: public market data feeds.

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