Continuity of Evidence
Research quality depends on preserving clear assumptions, comparable observations, and a record of how conclusions changed.
The portal of Helvetia Quant Labs
The portal of Helvetia Quant LabsQuantitative Research & Development
Research Methodology
Research questions are examined through defined evidence, comparison, and review practices.
Research lifecycle
- 01
Managing Uncertainty
Risk cannot be eliminated. It is understood, measured, and managed independently from expected reward.
- 02
Predeclared Evaluation
Evaluation windows, comparison sets, and review criteria are established before conclusions are promoted, reducing the risk of selecting only favourable evidence.
- 03
Evidence Boundaries
A favourable historical result is not, by itself, sufficient evidence for a broader conclusion.
- 04
Observation and Hypothesis
A research question begins with a defined observation and a falsifiable hypothesis before implementation choices or favourable outcomes are considered.
- 05
Forward Observation
Forward observation tests whether evidence persists outside the period used to form the original hypothesis and creates a record of changing conditions.
Complete framework
Implementation Context
Market frictions, timing, and implementation constraints are treated as analytical context rather than afterthoughts.
Disclosure Discipline
Public communication remains non-proprietary while research methods, internal systems, and protected records remain confidential.
Diagnostic Evaluation
Historical evaluation is supplemented by diagnostic review of conditions, limitations, and contradictory observations rather than only aggregate outcomes.
Comparative Observation
Proposed refinements are compared with a defined reference so that their effect can be examined without changing the original question.
Continuous Validation
Validation continues after review. Models, assumptions, datasets, and operating constraints remain subject to re-examination as new observations arrive.