Matrix SigMarket context and the question structure
An eligible Stock Model receives factual market context appropriate to the supported question, such as a reference close and recent observations. The Model must also match the question’s product structure and target period.
Configured strategy
Momentum emphasizes recent direction and relative strength. Mean Reversion gives more weight to the possibility that an extended move normalizes. Balanced combines those perspectives with a moderated treatment of trend and uncertainty. These labels describe strategy presets, not guarantees of performance.
Structured probability output
The Model produces a probability vector that matches the question: a return outcome, a complete weekly price distribution, or related price thresholds. Matrix Sig validates the structure before publication.
Publication, resolution, and scoring
Accepted forecasts are timestamped and immutable. When the underlying question resolves, Matrix Sig records the result and scores the forecast through its normal public performance system.
Bounded automation
Eligible Stock Models can evaluate supported open questions within their configured scope and daily limits. Automation is bounded and conditional; it does not guarantee coverage or a forecast for every supported Stock question.
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