Macau Industrial Production MoM

Macau · Quarterly series · EC-MO-IPMM

Latest, Q4 2024

-23.4%

-31.00pp from Q3 2024

Open interactive chartMacau Industrial Production MoM in the app

71.726.031-59.65Q2 2009Q4 2025
History through Q4 2024, the forecast path to Q4 2025 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q4 2025: -8.3%, with an 80% interval of -44.1% to 28.7%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q1 20254.1%-59.7%71.7%
Q2 202516.1%-25.9%57.9%
Q3 20257.1%-37.8%52.3%
Q4 2025-8.3%-44.1%28.7%

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
+33%Beats the no-change baseline over 8 tests (8 tests, 8 won)
Direction
84%No clear edge over a coin flip (26 of 31 calls right in 8 tests)
Turning points
9 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
33% lowerError ratio 0.67; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2017-03-01 to 2024-12-014 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 13% of the 39 earlier readings since Q1 2015.

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
Q4 2024-23.4%
Q3 20247.6%
Q2 202422.8%
Q1 202413.7%
Q4 2023-29.8%
Q3 202315.6%
Q2 202319.7%
Q1 202310.4%
Q4 2022-4.4%
Q3 2022-17.1%
Q2 202252.8%
Q1 2022-25.0%
Q4 20210.5%
Q3 202131.3%
Q2 202111.6%
Q1 2021-15.3%
Q4 2020-16.0%
Q3 2020-7.5%
Q2 202040.1%
Q1 2020-53.4%
Q4 20192.6%
Q3 20191.9%
Q2 201936.0%
Q1 2019-13.6%

Source

Data: public market data feeds.

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