Macau Changes In Inventories

Macau · Quarterly series · EC-MO-IC

Latest, Q2 2026

375,000.00 MOP

-2.3% from Q1 2026

Open interactive chartMacau Changes In Inventories in the app

992K323.5K-345KQ1 2001Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 366,359.84 MOP, with an 80% interval of 8,483.82 MOP to 649,001.58 MOP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026376,911.88 MOP334,467.29 MOP415,526.94 MOP
Q4 2026374,509.31 MOP187,785.33 MOP533,142.14 MOP
Q1 2027369,627.84 MOP147,017.97 MOP541,119.58 MOP
Q2 2027366,359.84 MOP8,483.82 MOP649,001.58 MOP

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
+5%Matches the no-change baseline over 8 tests (8 tests, 5 won)
Direction
69%No clear edge over a coin flip (22 of 32 calls right in 8 tests)
Turning points
1 of 12Anticipated some turns (12 turns in 8 tests, 1 without a turn)
Error vs baseline
5% lowerError ratio 0.95; 1.00 is a tie.
Tests won
5 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 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 62% of the 39 earlier readings since Q3 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
Q2 2026375,000.00 MOP
Q1 2026384,000.00 MOP
Q4 2025342,000.00 MOP
Q3 2025309,000.00 MOP
Q2 2025303,000.00 MOP
Q1 2025307,000.00 MOP
Q4 2024346,000.00 MOP
Q3 2024657,000.00 MOP
Q2 2024664,000.00 MOP
Q1 2024356,000.00 MOP
Q4 2023398,000.00 MOP
Q3 2023373,000.00 MOP
Q2 2023397,000.00 MOP
Q1 2023400,000.00 MOP
Q4 2022429,000.00 MOP
Q3 2022318,000.00 MOP
Q2 2022402,000.00 MOP
Q1 2022435,000.00 MOP
Q4 2021365,000.00 MOP
Q3 2021349,000.00 MOP
Q2 2021397,000.00 MOP
Q1 2021264,000.00 MOP
Q4 2020-345,000.00 MOP
Q3 2020-243,000.00 MOP

Source

Data: public market data feeds.

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