AgenticInvestor

Switzerland Core Consumer Prices

Switzerland · Monthly series · EC-CH-CCP

Latest, September 2026

100.9 pts

-0.2% from August 2026

Open interactive chartSwitzerland Core Consumer Prices in the app

102.498.0493.67October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 101.2 pts, with an 80% interval of 99.8 pts to 102.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026100.9 pts100.8 pts101.0 pts
November 2026100.5 pts100.2 pts100.7 pts
December 2026100.7 pts100.4 pts100.9 pts
January 2027100.6 pts100.2 pts101.0 pts
February 2027101.0 pts100.6 pts101.3 pts
March 2027100.8 pts100.5 pts101.1 pts
April 2027101.3 pts100.5 pts101.9 pts
May 2027101.2 pts100.5 pts101.7 pts
June 2027101.2 pts100.2 pts102.0 pts
July 2027101.6 pts100.5 pts102.4 pts
August 2027101.5 pts100.1 pts102.4 pts
September 2027101.2 pts99.8 pts102.1 pts

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
+17%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
69%No clear edge over a coin flip (99 of 143 calls right in 12 tests)
Turning points
69 of 77Anticipated most turns (77 turns in 12 tests, 0 without a turn)
Error vs baseline
17% lowerError ratio 0.83; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
79%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 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 2026100.9 pts
August 2026101.1 pts
July 2026101.2 pts
June 2026100.9 pts
May 2026100.8 pts
April 2026100.7 pts
March 2026100.2 pts
February 2026100.3 pts
January 202699.8 pts
December 202599.9 pts
November 202599.6 pts
October 2025100.2 pts
September 2025100.2 pts
August 2025100.5 pts
July 2025100.6 pts
June 2025100.2 pts
May 2025100.0 pts
April 2025100.4 pts
March 202599.5 pts
February 202599.5 pts
January 202599.4 pts
December 202499.3 pts
November 202499.3 pts
October 202499.8 pts

Source

Data: public market data feeds.

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