AgenticInvestor

Singapore Imports

Singapore · Monthly series · EC-SG-IMP

Latest, July 2026

58.34B SGD

+3.5% from June 2026

Open interactive chartSingapore Imports in the app

83.03B49.34B15.65BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 57.72B SGD, with an 80% interval of 36.28B SGD to 82.22B SGD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 202657.77B SGD54.64B SGD61.22B SGD
September 202657.02B SGD53.40B SGD60.96B SGD
October 202658.98B SGD54.40B SGD64.02B SGD
November 202658.23B SGD45.61B SGD72.22B SGD
December 202658.08B SGD45.88B SGD71.82B SGD
January 202756.50B SGD35.24B SGD80.51B SGD
February 202752.36B SGD39.71B SGD65.58B SGD
March 202758.59B SGD37.71B SGD82.02B SGD
April 202757.00B SGD43.27B SGD71.64B SGD
May 202757.66B SGD37.72B SGD79.88B SGD
June 202756.70B SGD34.20B SGD83.03B SGD
July 202757.72B SGD36.28B SGD82.22B 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

It is above 99% of the 119 earlier readings since August 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
July 202658.34B SGD
June 202656.37B SGD
May 202658.84B SGD
April 202642.41B SGD
March 202656.58B SGD
February 202650.03B SGD
January 202649.51B SGD
December 202549.61B SGD
November 202547.75B SGD
October 202543.49B SGD
September 202540.48B SGD
August 202544.54B SGD
July 202538.15B SGD
June 202540.80B SGD
May 202543.73B SGD
April 202542.72B SGD
March 202540.19B SGD
February 202534.66B SGD
January 202540.18B SGD
December 202441.57B SGD
November 202438.79B SGD
October 202439.29B SGD
September 202438.09B SGD
August 202438.09B SGD

Source

Data: public market data feeds.

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