This page provides a high-level explanation of how StocKnoWhere organizes research inputs. It is intended to explain product behavior in plain language rather than disclose proprietary implementation details.
The Research Lab presents common chart studies such as VWAP, moving averages, and MACD so a user can compare short-term price action against broader trend and momentum context. The goal is to reduce mode-switching between separate tools.
Bias readouts summarize multiple study inputs into a compact directional view. These readouts are meant to be quick orientation aids, not substitutes for the underlying chart. Users should verify whether price structure, study alignment, and time frame choice support the summary.
Anomaly workflows are designed to flag unusual conditions based on configured thresholds, cross-checks, and the data available at scan time. Scores and labels are heuristic outputs. They indicate review priority, not certainty.
Where possible, the platform exposes drivers or explanations behind the score so a user can understand why a symbol or portfolio is being highlighted. This is intended to make the workflow more auditable than a single opaque number.
AI summaries and briefings convert the visible workflow context into concise written text. These summaries can compress research time, but they may omit nuance or reflect limitations in the underlying data. The correct use is to treat them as a starting point for review.
Portfolio tools interpret saved positions together instead of viewing each ticker in isolation. That enables checks around concentration, repeated exposure, and portfolio-level anomaly patterns that may not be obvious from a single-chart workflow.
None of the above constitutes investment advice, a recommendation, or a guarantee of market outcomes. All outputs depend on data availability, configuration choices, and user interpretation.
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