AgenticInvestor

Hong Kong Imports

Hong Kong · Monthly series · EC-HK-IMP

Latest, July 2026

103.57B HKD

-6.0% from June 2026

Open interactive chartHong Kong Imports in the app

160B98.1B36.16BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 96.34B HKD, with an 80% interval of 64.79B HKD to 142.52B HKD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 2026104.56B HKD92.29B HKD119.43B HKD
September 2026109.17B HKD98.25B HKD123.49B HKD
October 2026105.16B HKD93.88B HKD119.03B HKD
November 2026105.48B HKD85.36B HKD130.60B HKD
December 2026109.64B HKD80.84B HKD148.45B HKD
January 2027100.90B HKD60.61B HKD153.05B HKD
February 202788.46B HKD59.43B HKD124.98B HKD
March 2027106.74B HKD67.21B HKD160.04B HKD
April 202799.59B HKD70.81B HKD137.09B HKD
May 202798.84B HKD68.48B HKD141.53B HKD
June 2027100.73B HKD71.61B HKD143.93B HKD
July 202796.34B HKD64.79B HKD142.52B HKD

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
+17%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
74%No clear edge over a coin flip (106 of 144 calls right in 12 tests)
Turning points
65 of 82Anticipated most turns (82 turns in 12 tests, 0 without a turn)
Error vs baseline
17% lowerError ratio 0.83; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 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 98% 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 2026103.57B HKD
June 2026110.13B HKD
May 2026100.66B HKD
April 2026100.96B HKD
March 2026107.03B HKD
February 202674.39B HKD
January 202679.09B HKD
December 202583.89B HKD
November 202578.68B HKD
October 202575.90B HKD
September 202572.84B HKD
August 202567.24B HKD
July 202570.20B HKD
June 202568.73B HKD
May 202568.18B HKD
April 202569.58B HKD
March 202570.75B HKD
February 202553.67B HKD
January 202562.21B HKD
December 202462.29B HKD
November 202462.29B HKD
October 202460.69B HKD
September 202464.19B HKD
August 202458.47B HKD

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Hong Kong