AgenticInvestor

Switzerland Money Supply M2

Switzerland · Monthly series · EC-CH-M2

Latest, September 2026

1.13T CHF

+0.0% from August 2026

Open interactive chartSwitzerland Money Supply M2 in the app

1.197T1.053T909.7BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1.15T CHF, with an 80% interval of 1.10T CHF to 1.19T CHF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20261.13T CHF1.13T CHF1.14T CHF
November 20261.13T CHF1.12T CHF1.15T CHF
December 20261.13T CHF1.12T CHF1.15T CHF
January 20271.14T CHF1.12T CHF1.15T CHF
February 20271.14T CHF1.12T CHF1.16T CHF
March 20271.14T CHF1.12T CHF1.17T CHF
April 20271.14T CHF1.12T CHF1.17T CHF
May 20271.14T CHF1.11T CHF1.18T CHF
June 20271.15T CHF1.11T CHF1.19T CHF
July 20271.15T CHF1.10T CHF1.20T CHF
August 20271.15T CHF1.10T CHF1.20T CHF
September 20271.15T CHF1.10T CHF1.19T CHF

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 12 tests (12 tests, 10 won)
Direction
85%Beats a coin flip (123 of 144 calls right in 12 tests)
Turning points
21 of 49Anticipated some turns (49 turns in 12 tests, 0 without a turn)
Error vs baseline
33% lowerError ratio 0.67; 1.00 is a tie.
Tests won
10 / 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

That is the highest of the 120 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 20261.13T CHF
August 20261.12T CHF
July 20261.12T CHF
June 20261.12T CHF
May 20261.12T CHF
April 20261.12T CHF
March 20261.11T CHF
February 20261.11T CHF
January 20261.10T CHF
December 20251.10T CHF
November 20251.10T CHF
October 20251.09T CHF
September 20251.08T CHF
August 20251.08T CHF
July 20251.07T CHF
June 20251.06T CHF
May 20251.02T CHF
April 20251.01T CHF
March 2025996.31B CHF
February 2025974.91B CHF
January 2025970.04B CHF
December 2024971.32B CHF
November 2024951.67B CHF
October 2024938.92B CHF

Source

Data: public market data feeds.

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