Formulating rigorous, testable market inquiries prior to applying technical indicators, mathematical syntax, or computational filters.
Screening software offers endless combinations of arithmetic parameters, yet computational execution cannot clarify an ambiguous conceptual question. Before writing a single line of filter script or selecting moving averages, researchers must articulate exactly what market phenomenon is being examined.
This curriculum module breaks down question formulation into testable hypotheses, explicit spatial and temporal boundaries, and observable qualitative traits that withstand rigorous post-scan verification.
Systematic investigations detailing how to frame market inquiries, distinguish structural hypotheses from mechanical indicator stacking, and avoid confirmation biases.
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Automated screening flags mathematical occurrences; systematic manual review confirms structural validity.
State exact qualitative conditions under which a screened setup is considered invalidated prior to observation.
Isolate structural timeframes so multi-session behavioral drift does not contaminate short-horizon observations.
Maintain clear independence between the core observation question and the mechanical tools used to approximate it.
