AgenticInvestor

Thailand Money Supply M0

Thailand · Monthly series · EC-TH-M0

Latest, May 2025

2.28T THB

-1.0% from April 2025

Open interactive chartThailand Money Supply M0 in the app

2.553T1.815T1.078TJune 2015May 2026
History through May 2025, the forecast path to May 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for May 2026: 2.40T THB, with an 80% interval of 2.32T THB to 2.49T THB.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
June 20252.28T THB2.25T THB2.31T THB
July 20252.27T THB2.26T THB2.29T THB
August 20252.28T THB2.25T THB2.32T THB
September 20252.31T THB2.26T THB2.36T THB
October 20252.32T THB2.26T THB2.39T THB
November 20252.35T THB2.28T THB2.42T THB
December 20252.42T THB2.34T THB2.50T THB
January 20262.41T THB2.36T THB2.46T THB
February 20262.43T THB2.37T THB2.50T THB
March 20262.43T THB2.31T THB2.55T THB
April 20262.43T THB2.35T THB2.51T THB
May 20262.40T THB2.32T THB2.49T 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
+58%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
83%Beats a coin flip (119 of 144 calls right in 12 tests)
Turning points
48 of 64Anticipated most turns (64 turns in 12 tests, 0 without a turn)
Error vs baseline
58% lowerError ratio 0.42; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2013-06-01 to 2025-05-0112 observations ahead per test.
80% band coverage
83%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 96% of the 119 earlier readings since June 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
May 20252.28T THB
April 20252.31T THB
March 20252.32T THB
February 20252.32T THB
January 20252.33T THB
December 20242.30T THB
November 20242.27T THB
October 20242.23T THB
September 20242.19T THB
August 20242.15T THB
July 20242.14T THB
June 20242.15T THB
May 20242.16T THB
April 20242.17T THB
March 20242.20T THB
February 20242.17T THB
January 20242.14T THB
December 20232.15T THB
November 20232.09T THB
October 20232.06T THB
September 20232.05T THB
August 20232.02T THB
July 20232.01T THB
June 20232.02T THB

Source

Data: public market data feeds.

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