Switzerland Terms Of Trade

Switzerland · Monthly series · EC-CH-TOT

Latest, September 2026

96.0 pts

-0.8% from August 2026

Open interactive chartSwitzerland Terms Of Trade in the app

124.9107.389.78July 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 95.6 pts, with an 80% interval of 89.8 pts to 102.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202695.8 pts94.4 pts97.5 pts
November 202695.7 pts93.5 pts98.4 pts
December 202695.7 pts92.9 pts99.1 pts
January 202795.7 pts92.5 pts99.5 pts
February 202795.7 pts92.0 pts100.0 pts
March 202795.7 pts91.7 pts100.4 pts
April 202795.7 pts91.4 pts100.6 pts
May 202795.7 pts91.0 pts101.0 pts
June 202795.7 pts90.6 pts101.3 pts
July 202795.6 pts90.4 pts101.5 pts
August 202795.6 pts90.0 pts101.7 pts
September 202795.6 pts89.8 pts102.0 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Not evaluated

The serving model has no matching evaluation yet.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 16% of the 116 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 202696.0 pts
August 202696.8 pts
July 202698.1 pts
June 202697.3 pts
May 202696.7 pts
April 202697.3 pts
March 202699.5 pts
February 202699.9 pts
January 2026100.6 pts
December 2025100.0 pts
November 202594.4 pts
October 202594.9 pts
September 202594.7 pts
August 202594.3 pts
July 202595.3 pts
June 202596.0 pts
May 202595.8 pts
April 202594.5 pts
March 202594.4 pts
February 202594.2 pts
January 202594.0 pts
December 202493.9 pts
November 202493.8 pts
October 202494.2 pts

Source

Data: public market data feeds.

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