Switzerland Factory Orders
Switzerland · Quarterly series · EC-CH-FO
Latest, Q1 2018
11.4 pts
+1.8% from Q4 2017
Forecast
Forecast for Q1 2019: 7.2 pts, with an 80% interval of -3.8 pts to 16.8 pts.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q2 2018 | 11.1 pts | 2.2 pts | 17.3 pts |
| Q3 2018 | 9.7 pts | -2.8 pts | 19.3 pts |
| Q4 2018 | 8.4 pts | -3.2 pts | 17.9 pts |
| Q1 2019 | 7.2 pts | -3.8 pts | 16.8 pts |
AI confidence
Mixed evidenceThe 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-15 against the cached history through 2018-03-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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 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.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q1 2018 | 11.4 pts |
| Q4 2017 | 11.2 pts |
| Q3 2017 | 9.7 pts |
| Q2 2017 | 1.8 pts |
| Q1 2017 | -4.2 pts |
| Q4 2016 | -3.0 pts |
| Q3 2016 | 6.2 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 2014 | 2.1 pts |
| Q3 2014 | -0.5 pts |
| Q2 2014 | 4.6 pts |
| Q1 2014 | 5.7 pts |
| Q4 2013 | 0.2 pts |
| Q3 2013 | -0.4 pts |
| Q2 2013 | -4.5 pts |
| Q1 2013 | 0.2 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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Also stored for Switzerland
- Switzerland Asylum Applications
- Switzerland Balance Of Trade
- Switzerland Bankruptcies
- Switzerland Banks Balance Sheet
- Switzerland Business Confidence Index
- Switzerland CO2 Emissions
- Switzerland CPI Housing Utilities
- Switzerland CPI Transportation
- Switzerland Capacity Utilization
- Switzerland Capital Flows
- Switzerland Car Registrations
- Switzerland Central Bank Balance Sheet