The portal of Helvetia Quant Labs
The portal of Helvetia Quant LabsQuantitative Research & Development
Research technology
Data processes and analytical software developed to support research.
Data and software
- 01
Source context
Identify the source, observation time, coverage and usage restrictions of research inputs.
- 02
Data quality
Check for missing observations, stale inputs and timing inconsistencies before interpreting derived results.
- 03
Reproducible analysis
Keep data transformations, code versions and evaluation assumptions together so an analysis can be repeated and examined.
- 04
Diagnostics
Distinguish changes in market observations from faults or changes in the systems that process them.
- 05
Maintenance
Make analytical changes reviewable and dependencies explicit. Add complexity only where it improves the research or its reliability.