Data context
Keep the sources, coverage, and limitations of a dataset connected to the research.
Platform development
Software for examining market research.
Lucid Sigma is developing a research environment that connects data, tests, review, and evidence. The intended direction includes online access to machine-learning software for quantitative market research.
01 / Design goals
Keep the research and its evidence connected.
Repeatable tests
Preserve the question, rules, and assumptions needed to examine a result again.
Independent review
Make findings available for a separate process to challenge and reproduce.
Changing conditions
Investigate when market behavior changes and whether earlier conclusions still hold.
02 / Research requirements
The questions a finding must withstand.
Development framework
RESEARCH IN PROGRESSRequirements for evaluating a finding
Document data sources
Define test rules
Assess bias and limitations
Seek independent reproduction
Map failure conditions
Preserve research evidence
Reassess changing conditions
These are intended research requirements, not completed test results or a record of a validated trading strategy.
03 / Current stage
Development and validation come first.
We are still researching whether the behaviors under study provide a repeatable edge. Online access is a development objective, with availability dependent on further development and validation.
Software capabilities and research findings will be described according to what has actually been developed and verified.