Switzerland Export Prices

Switzerland · Monthly series · EC-CH-EP

Latest, September 2026

99.4 pts

+0.1% from August 2026

Open interactive chartSwitzerland Export Prices in the app

104.899.7794.75October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 99.5 pts, with an 80% interval of 94.7 pts to 104.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202699.4 pts98.5 pts100.2 pts
November 202699.3 pts96.6 pts101.8 pts
December 202699.4 pts96.6 pts102.2 pts
January 202799.4 pts96.8 pts102.1 pts
February 202799.4 pts96.9 pts102.0 pts
March 202799.4 pts97.5 pts101.3 pts
April 202799.5 pts98.0 pts101.1 pts
May 202799.5 pts96.3 pts102.8 pts
June 202799.5 pts96.2 pts103.1 pts
July 202799.5 pts96.0 pts103.3 pts
August 202799.5 pts95.0 pts104.3 pts
September 202799.5 pts94.7 pts104.8 pts

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
-1%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
50%No clear edge over a coin flip (70 of 140 calls right in 12 tests)
Turning points
17 of 43Anticipated some turns (43 turns in 12 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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 7% 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 202699.4 pts
August 202699.3 pts
July 202698.8 pts
June 202698.6 pts
May 202698.6 pts
April 202699.6 pts
March 202699.5 pts
February 202699.6 pts
January 2026100.1 pts
December 2025100.0 pts
November 202597.9 pts
October 202598.8 pts
September 202599.1 pts
August 202599.1 pts
July 2025100.5 pts
June 2025101.1 pts
May 2025101.1 pts
April 2025100.9 pts
March 2025100.7 pts
February 2025100.5 pts
January 2025100.1 pts
December 202499.8 pts
November 202499.7 pts
October 2024100.8 pts

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Switzerland