Hungary Money Supply M0

Hungary · Monthly series · EC-HU-M0

Latest, September 2026

17.06T HUF

-0.4% from August 2026

Open interactive chartHungary Money Supply M0 in the app

22.84T13.87T4.906TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 17.24T HUF, with an 80% interval of 14.03T HUF to 20.16T HUF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202617.08T HUF16.46T HUF17.80T HUF
November 202617.24T HUF15.61T HUF19.41T HUF
December 202617.45T HUF15.50T HUF19.85T HUF
January 202717.50T HUF13.94T HUF21.77T HUF
February 202717.59T HUF12.99T HUF22.84T HUF
March 202717.65T HUF13.31T HUF22.28T HUF
April 202717.59T HUF13.49T HUF21.85T HUF
May 202717.43T HUF13.45T HUF21.47T HUF
June 202717.32T HUF13.94T HUF20.68T HUF
July 202717.26T HUF13.97T HUF20.41T HUF
August 202717.27T HUF13.77T HUF20.54T HUF
September 202717.24T HUF14.03T HUF20.16T HUF

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
+3%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
67%No clear edge over a coin flip (97 of 144 calls right in 12 tests)
Turning points
37 of 49Anticipated most turns (49 turns in 12 tests, 0 without a turn)
Error vs baseline
3% lowerError ratio 0.97; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 65% 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 202617.06T HUF
August 202617.13T HUF
July 202617.05T HUF
June 202617.72T HUF
May 202618.49T HUF
April 202619.74T HUF
March 202619.50T HUF
February 202618.64T HUF
January 202618.06T HUF
December 202518.08T HUF
November 202517.40T HUF
October 202516.84T HUF
September 202517.37T HUF
August 202517.20T HUF
July 202517.75T HUF
June 202517.86T HUF
May 202518.02T HUF
April 202518.10T HUF
March 202518.88T HUF
February 202519.08T HUF
January 202518.59T HUF
December 202418.51T HUF
November 202418.34T HUF
October 202417.65T HUF

Source

Data: public market data feeds.

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