AgenticInvestor

Macau Imports

Macau · Monthly series · EC-MO-IMP

Latest, July 2026

1.42B MOP

-5.0% from June 2026

Open interactive chartMacau Imports in the app

2.164B1.29B416MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 1.44B MOP, with an 80% interval of 1.13B MOP to 1.81B MOP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20261.46B MOP1.36B MOP1.56B MOP
September 20261.52B MOP1.18B MOP1.91B MOP
October 20261.56B MOP1.28B MOP1.86B MOP
November 20261.62B MOP1.28B MOP2.01B MOP
December 20261.62B MOP1.17B MOP2.14B MOP
January 20271.63B MOP1.35B MOP1.95B MOP
February 20271.39B MOP856.72M MOP1.94B MOP
March 20271.56B MOP1.05B MOP2.16B MOP
April 20271.53B MOP1.22B MOP1.90B MOP
May 20271.50B MOP1.11B MOP1.96B MOP
June 20271.44B MOP886.02M MOP2.09B MOP
July 20271.44B MOP1.13B MOP1.81B MOP

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
+26%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
74%No clear edge over a coin flip (106 of 144 calls right in 12 tests)
Turning points
47 of 71Anticipated most turns (71 turns in 12 tests, 0 without a turn)
Error vs baseline
26% lowerError ratio 0.74; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
78%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 67% 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 20261.42B MOP
June 20261.50B MOP
May 20261.47B MOP
April 20261.59B MOP
March 20261.60B MOP
February 20261.43B MOP
January 20261.64B MOP
December 20251.47B MOP
November 20251.40B MOP
October 20251.40B MOP
September 20251.40B MOP
August 20251.21B MOP
July 20251.22B MOP
June 20251.17B MOP
May 20251.23B MOP
April 20251.29B MOP
March 20251.30B MOP
February 20251.10B MOP
January 20251.32B MOP
December 20241.39B MOP
November 20241.42B MOP
October 20241.39B MOP
September 20241.29B MOP
August 20241.27B MOP

Source

Data: public market data feeds.

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