AgenticInvestor

Macau Car Registrations

Macau · Monthly series · EC-MO-CAR

Latest, September 2026

979.0 pts

-7.7% from August 2026

Open interactive chartMacau Car Registrations in the app

18191037255October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1,053.8 pts, with an 80% interval of 745.9 pts to 1,375.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026952.7 pts823.1 pts1,081.8 pts
November 20261,161.7 pts1,052.5 pts1,266.8 pts
December 20261,083.9 pts882.3 pts1,276.9 pts
January 20271,144.1 pts783.0 pts1,491.9 pts
February 2027847.5 pts679.1 pts1,010.3 pts
March 20271,086.6 pts637.8 pts1,513.7 pts
April 2027930.0 pts751.7 pts1,098.6 pts
May 2027980.7 pts689.1 pts1,266.2 pts
June 2027950.5 pts558.1 pts1,339.5 pts
July 20271,069.7 pts707.0 pts1,439.8 pts
August 20271,036.4 pts716.9 pts1,363.1 pts
September 20271,053.8 pts745.9 pts1,375.7 pts

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
+24%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
81%Beats a coin flip (116 of 144 calls right in 12 tests)
Turning points
90 of 93Anticipated most turns (93 turns in 12 tests, 0 without a turn)
Error vs baseline
24% lowerError ratio 0.76; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
81%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 34% of the 119 earlier 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 2026979.0 pts
August 20261,061.0 pts
July 20261,208.0 pts
June 20261,035.0 pts
May 2026985.0 pts
April 2026956.0 pts
March 20261,188.0 pts
February 2026933.0 pts
January 20261,201.0 pts
December 20251,057.0 pts
November 2025864.0 pts
October 2025674.0 pts
September 2025814.0 pts
August 2025789.0 pts
July 20251,018.0 pts
June 20251,046.0 pts
May 2025968.0 pts
April 2025884.0 pts
March 20251,007.0 pts
February 2025890.0 pts
January 20251,106.0 pts
December 20241,038.0 pts
November 20241,295.0 pts
October 20241,081.0 pts

Source

Data: public market data feeds.

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