Thailand Consumer Credit

Thailand · Quarterly series · EC-TH-CCR

Latest, Q2 2025

5.29T THB

-0.2% from Q1 2025

Open interactive chartThailand Consumer Credit in the app

5.479T4.22T2.96TQ1 2013Q2 2026
History through Q2 2025, the forecast path to Q2 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2026: 5.18T THB, with an 80% interval of 4.95T THB to 5.41T THB.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20255.26T THB5.20T THB5.32T THB
Q4 20255.24T THB5.13T THB5.35T THB
Q1 20265.20T THB5.02T THB5.38T THB
Q2 20265.18T THB4.95T THB5.41T 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
+40%Beats the no-change baseline over 6 tests (6 tests, 5 won)
Direction
96%Beats a coin flip (23 of 24 calls right in 6 tests)
Turning points
n/aToo few tests (7 turns, 8 needed) (7 turns in 6 tests, 2 without a turn)
Error vs baseline
40% lowerError ratio 0.60; 1.00 is a tie.
Tests won
5 / 6Complete rolling backtests; ties count as no win.
Test period
2019-09-01 to 2025-06-014 observations ahead per test.
80% band coverage
79%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 69% of the 39 earlier readings since Q3 2015.

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 20255.29T THB
Q1 20255.30T THB
Q4 20245.36T THB
Q3 20245.37T THB
Q2 20245.41T THB
Q1 20245.43T THB
Q4 20235.48T THB
Q3 20235.44T THB
Q2 20235.41T THB
Q1 20235.37T THB
Q4 20225.36T THB
Q3 20225.37T THB
Q2 20225.31T THB
Q1 20225.26T THB
Q4 20215.27T THB
Q3 20215.17T THB
Q2 20215.16T THB
Q1 20215.10T THB
Q4 20205.08T THB
Q3 20204.96T THB
Q2 20204.88T THB
Q1 20204.84T THB
Q4 20194.85T THB
Q3 20194.74T THB

Source

Data: public market data feeds.

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