AgenticInvestor

Singapore Balance Of Trade

Singapore · Monthly series · EC-SG-BOT

Latest, July 2026

11.41B SGD

+14.6% from June 2026

Open interactive chartSingapore Balance Of Trade in the app

18.27B8.322B-1.628BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 5.73B SGD, with an 80% interval of 1.58B SGD to 12.28B SGD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20268.31B SGD2.56B SGD15.72B SGD
September 20267.50B SGD4.48B SGD11.76B SGD
October 20267.02B SGD3.34B SGD12.44B SGD
November 20266.63B SGD3.33B SGD11.76B SGD
December 20266.28B SGD3.52B SGD10.65B SGD
January 20276.32B SGD-444.40M SGD16.93B SGD
February 20276.23B SGD-1.63B SGD18.27B SGD
March 20276.21B SGD2.48B SGD12.01B SGD
April 20276.07B SGD1.46B SGD13.38B SGD
May 20275.90B SGD2.94B SGD10.52B SGD
June 20275.76B SGD2.41B SGD10.87B SGD
July 20275.73B SGD1.58B SGD12.28B SGD

Model: State-space model, 167M (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: State-space model, 167M (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

Previous comparisonThe stored comparison uses earlier data or a previous model roster. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Models tested

State-space model, 167M scored lowest on the 6 older tests (0.97) and was chosen. The 6 recent tests played no part in the choice and give its grade (0.90). The search for a model that beats the naive forecast on both sets of tests goes on. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.

4 model classes completed the tests: Foundation model, Statistical, Machine learning, Neural network. Previous model roster.

Every model tested on this series.
ModelClass and computeOlder testsRecent testsRole
State-space model, 167M (foundation model)Foundation model · CPU0.970.90Serving
Naive forecast (last value held)Benchmark · CPU1.001.00Benchmark
Agentic Investor TSFM (foundation model)Foundation model · CPU1.020.92Tested
Exponential smoothing (statistical)Statistical · CPU1.020.90Tested
Gradient-boosted trees (machine learning)Machine learning · CPU1.060.94Tested
Hierarchical neural network (neural network)Neural network · CPU1.581.12Tested

Uses ci-proto, released by Continuous Intelligence. Continuous Intelligence does not endorse or approve this product or service. (ci-proto is shown as State-space model, 167M.)

Reading

That is the highest of the 120 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 202611.41B SGD
June 20269.96B SGD
May 20263.27B SGD
April 20264.53B SGD
March 20267.83B SGD
February 202611.17B SGD
January 202611.06B SGD
December 20251.87B SGD
November 20256.16B SGD
October 20254.86B SGD
September 20253.80B SGD
August 20255.48B SGD
July 20256.71B SGD
June 20254.55B SGD
May 20258.94B SGD
April 20258.73B SGD
March 20253.46B SGD
February 20255.35B SGD
January 20253.42B SGD
December 20242.97B SGD
November 20244.91B SGD
October 20243.71B SGD
September 20243.96B SGD
August 20244.39B SGD

Source

Data: public market data feeds.

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