AgenticInvestor

Thailand Terms Of Trade

Thailand · Monthly series · EC-TH-TOT

Latest, September 2026

88.7 pts

-1.2% from August 2026

Open interactive chartThailand Terms Of Trade in the app

113.896.8780October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 89.1 pts, with an 80% interval of 81.9 pts to 96.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202688.7 pts86.9 pts90.4 pts
November 202688.7 pts84.8 pts92.4 pts
December 202688.7 pts82.9 pts94.5 pts
January 202788.6 pts80.0 pts97.3 pts
February 202788.7 pts81.3 pts96.2 pts
March 202788.7 pts80.1 pts97.4 pts
April 202788.8 pts82.1 pts95.7 pts
May 202788.8 pts81.7 pts96.0 pts
June 202788.9 pts80.5 pts97.4 pts
July 202789.0 pts82.2 pts95.8 pts
August 202789.0 pts82.5 pts95.6 pts
September 202789.1 pts81.9 pts96.5 pts

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 12 tests (12 tests, 5 won)
Direction
56%No clear edge over a coin flip (81 of 144 calls right in 12 tests)
Turning points
2 of 52Anticipated some turns (52 turns in 12 tests, 0 without a turn)
Error vs baseline
3% higherError ratio 1.03; 1.00 is a tie.
Tests won
5 / 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

That is the lowest of the 120 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 202688.7 pts
August 202689.7 pts
July 202690.9 pts
June 202690.4 pts
May 202689.5 pts
April 202689.4 pts
March 202690.9 pts
February 202694.4 pts
January 202694.5 pts
December 202595.5 pts
November 202595.7 pts
October 202595.8 pts
September 202595.3 pts
August 202595.6 pts
July 202595.9 pts
June 202596.0 pts
May 202597.0 pts
April 202596.7 pts
March 202596.5 pts
February 202596.4 pts
January 202596.4 pts
December 202497.6 pts
November 202498.0 pts
October 202497.6 pts

Source

Data: public market data feeds.

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