AgenticInvestor

Macau CPI Transportation

Macau · Monthly series · EC-MO-CPIT

Latest, September 2026

103.4 pts

+0.7% from August 2026

Open interactive chartMacau CPI Transportation in the app

114.3102.290.06October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 104.9 pts, with an 80% interval of 94.7 pts to 114.3 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026103.7 pts102.9 pts104.5 pts
November 2026103.8 pts102.5 pts105.0 pts
December 2026104.0 pts102.2 pts105.6 pts
January 2027104.1 pts100.6 pts107.3 pts
February 2027104.2 pts99.6 pts108.5 pts
March 2027104.3 pts100.6 pts107.8 pts
April 2027104.5 pts98.6 pts109.9 pts
May 2027104.5 pts97.3 pts111.3 pts
June 2027104.7 pts96.3 pts112.3 pts
July 2027104.7 pts95.3 pts113.4 pts
August 2027104.9 pts96.3 pts112.7 pts
September 2027104.9 pts94.7 pts114.3 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+7%Matches the no-change baseline over 12 tests (12 tests, 8 won)
Direction
69%No clear edge over a coin flip (100 of 144 calls right in 12 tests)
Turning points
4 of 61Anticipated some turns (61 turns in 12 tests, 0 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 64% 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 2026103.4 pts
August 2026102.7 pts
July 2026101.0 pts
June 2026101.7 pts
May 2026102.8 pts
April 2026102.5 pts
March 2026100.0 pts
February 2026101.0 pts
January 202699.3 pts
December 2025100.5 pts
November 202598.8 pts
October 202599.1 pts
September 202599.2 pts
August 202599.7 pts
July 202598.8 pts
June 202598.1 pts
May 202598.0 pts
April 202598.6 pts
March 202598.2 pts
February 202598.6 pts
January 2025100.3 pts
December 202499.9 pts
November 202498.6 pts
October 202498.6 pts

Source

Data: public market data feeds.

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