Switzerland Factory Orders

Switzerland · Quarterly series · EC-CH-FO

Latest, Q1 2018

11.4 pts

+1.8% from Q4 2017

Open interactive chartSwitzerland Factory Orders in the app

19.35-2.327-24Q1 2000Q1 2019
History through Q1 2018, the forecast path to Q1 2019 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2019: 7.2 pts, with an 80% interval of -3.8 pts to 16.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 201811.1 pts2.2 pts17.3 pts
Q3 20189.7 pts-2.8 pts19.3 pts
Q4 20188.4 pts-3.2 pts17.9 pts
Q1 20197.2 pts-3.8 pts16.8 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
-8%Matches the no-change baseline over 8 tests (8 tests, 3 won)
Direction
52%No clear edge over a coin flip (16 of 31 calls right in 8 tests)
Turning points
2 of 9Anticipated some turns (9 turns in 8 tests, 1 without a turn)
Error vs baseline
8% higherError ratio 1.08; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2010-06-01 to 2018-03-014 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 90% of the 39 earlier readings since Q2 2008.

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
Q1 201811.4 pts
Q4 201711.2 pts
Q3 20179.7 pts
Q2 20171.8 pts
Q1 2017-4.2 pts
Q4 2016-3.0 pts
Q3 20166.2 pts
Q2 2016-4.7 pts
Q1 2016-2.3 pts
Q4 2015-7.4 pts
Q3 2015-6.7 pts
Q2 2015-6.3 pts
Q1 2015-4.8 pts
Q4 20142.1 pts
Q3 2014-0.5 pts
Q2 20144.6 pts
Q1 20145.7 pts
Q4 20130.2 pts
Q3 2013-0.4 pts
Q2 2013-4.5 pts
Q1 20130.2 pts
Q4 2012-2.1 pts
Q3 2012-0.1 pts
Q2 2012-1.5 pts

Source

Data: public market data feeds.

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