AgenticInvestor

Switzerland Banks Balance Sheet

Switzerland · Monthly series · EC-CH-BBS

Latest, August 2026

2.42T CHF

+0.2% from July 2026

Open interactive chartSwitzerland Banks Balance Sheet in the app

2.579T2.236T1.893TSeptember 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 2.46T CHF, with an 80% interval of 2.34T CHF to 2.58T CHF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20262.42T CHF2.40T CHF2.44T CHF
October 20262.43T CHF2.40T CHF2.46T CHF
November 20262.44T CHF2.41T CHF2.47T CHF
December 20262.41T CHF2.32T CHF2.49T CHF
January 20272.44T CHF2.38T CHF2.50T CHF
February 20272.44T CHF2.38T CHF2.51T CHF
March 20272.43T CHF2.35T CHF2.51T CHF
April 20272.45T CHF2.35T CHF2.56T CHF
May 20272.46T CHF2.36T CHF2.56T CHF
June 20272.44T CHF2.34T CHF2.53T CHF
July 20272.46T CHF2.36T CHF2.55T CHF
August 20272.46T CHF2.34T CHF2.58T CHF

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
+9%Matches the no-change baseline over 12 tests (12 tests, 8 won)
Direction
74%No clear edge over a coin flip (107 of 144 calls right in 12 tests)
Turning points
24 of 76Anticipated some turns (76 turns in 12 tests, 0 without a turn)
Error vs baseline
9% lowerError ratio 0.91; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 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 99% of the 119 earlier readings since September 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
August 20262.42T CHF
July 20262.42T CHF
June 20262.41T CHF
May 20262.43T CHF
April 20262.41T CHF
March 20262.40T CHF
February 20262.40T CHF
January 20262.41T CHF
December 20252.34T CHF
November 20252.39T CHF
October 20252.38T CHF
September 20252.36T CHF
August 20252.38T CHF
July 20252.36T CHF
June 20252.33T CHF
May 20252.35T CHF
April 20252.36T CHF
March 20252.31T CHF
February 20252.34T CHF
January 20252.33T CHF
December 20242.30T CHF
November 20242.35T CHF
October 20242.34T CHF
September 20242.32T CHF

Source

Data: public market data feeds.

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