AgenticInvestor

Singapore Money Supply M2

Singapore · Monthly series · EC-SG-M2

Latest, September 2026

903.76B SGD

+0.6% from August 2026

Open interactive chartSingapore Money Supply M2 in the app

969.1B762.5B556BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 943.25B SGD, with an 80% interval of 928.87B SGD to 959.49B SGD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026907.47B SGD900.11B SGD915.29B SGD
November 2026908.88B SGD893.91B SGD926.30B SGD
December 2026913.49B SGD901.04B SGD927.67B SGD
January 2027916.55B SGD903.84B SGD930.96B SGD
February 2027920.78B SGD905.52B SGD938.64B SGD
March 2027926.63B SGD912.52B SGD942.97B SGD
April 2027932.67B SGD918.20B SGD949.34B SGD
May 2027934.08B SGD919.27B SGD951.29B SGD
June 2027936.45B SGD913.93B SGD962.63B SGD
July 2027936.70B SGD913.28B SGD963.95B SGD
August 2027940.75B SGD915.48B SGD969.07B SGD
September 2027943.25B SGD928.87B SGD959.49B SGD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

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 highest 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 2026903.76B SGD
August 2026898.67B SGD
July 2026890.92B SGD
June 2026892.40B SGD
May 2026891.68B SGD
April 2026897.54B SGD
March 2026887.33B SGD
February 2026878.51B SGD
January 2026876.23B SGD
December 2025879.79B SGD
November 2025870.18B SGD
October 2025875.43B SGD
September 2025874.20B SGD
August 2025870.81B SGD
July 2025867.59B SGD
June 2025857.88B SGD
May 2025856.17B SGD
April 2025851.04B SGD
March 2025840.64B SGD
February 2025835.56B SGD
January 2025833.77B SGD
December 2024828.32B SGD
November 2024823.41B SGD
October 2024817.73B SGD

Source

Data: public market data feeds.

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