Macau Money Supply M2

Macau · Monthly series · EC-MO-M2

Latest, July 2026

859.83B MOP

+1.5% from June 2026

Open interactive chartMacau Money Supply M2 in the app

965.8B734.5B503.2BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 898.24B MOP, with an 80% interval of 836.03B MOP to 957.92B MOP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 2026864.80B MOP850.98B MOP879.39B MOP
September 2026866.89B MOP852.30B MOP882.86B MOP
October 2026869.63B MOP857.00B MOP882.99B MOP
November 2026872.72B MOP859.63B MOP886.38B MOP
December 2026876.40B MOP826.94B MOP927.01B MOP
January 2027879.72B MOP827.34B MOP932.35B MOP
February 2027882.33B MOP835.64B MOP927.97B MOP
March 2027885.13B MOP833.27B MOP936.78B MOP
April 2027888.79B MOP828.61B MOP947.10B MOP
May 2027891.77B MOP830.90B MOP950.17B MOP
June 2027895.28B MOP818.81B MOP965.76B MOP
July 2027898.24B MOP836.03B MOP957.92B 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
+8%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
60%No clear edge over a coin flip (86 of 144 calls right in 12 tests)
Turning points
3 of 68Anticipated some turns (68 turns in 12 tests, 0 without a turn)
Error vs baseline
8% lowerError ratio 0.92; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 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 98% 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 2026859.83B MOP
June 2026846.95B MOP
May 2026861.62B MOP
April 2026853.76B MOP
March 2026858.55B MOP
February 2026862.60B MOP
January 2026858.51B MOP
December 2025840.53B MOP
November 2025831.08B MOP
October 2025836.38B MOP
September 2025835.46B MOP
August 2025834.55B MOP
July 2025837.98B MOP
June 2025824.15B MOP
May 2025815.11B MOP
April 2025805.06B MOP
March 2025809.93B MOP
February 2025799.51B MOP
January 2025785.41B MOP
December 2024781.81B MOP
November 2024778.32B MOP
October 2024779.66B MOP
September 2024773.05B MOP
August 2024768.30B MOP

Source

Data: public market data feeds.

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