Attractive is not automatic
A low or oversold stock can be an opportunity or a warning. IQVANT treats signals as review candidates, not blind instructions.
Methodology
A disciplined signal process, not a prediction engine.
IQVANT is built around observable daily market data, normalized signal logic, sector context, and portfolio-level constraints. The platform is designed to organize investment review, not replace judgment.
LayerPurposeOutput
UniverseDaily review of S&P 500 constituents.Covered equity set
Price behaviorMeasure current price against recent ranges, momentum, and abnormal weakness.Opportunity score
Sector contextSeparate signal strength by industry group to avoid comparing unlike businesses.Industry map
Risk overlayApply concentration, volatility, and portfolio exposure constraints.Portfolio eligibility
Review cadenceRefresh the board after daily close and maintain decision history.Daily operating rhythm
Signal principles
The ranking system is built to protect against lazy conclusions.
Industries matter
A technology pullback and a utility pullback do not carry the same risk profile. Sector context is part of the signal surface.
Portfolio fit matters
A strong single-stock candidate can still be excluded when it increases concentration or violates risk limits.
Daily cadence reduces noise
IQVANT is designed around closing data, not intraday reaction. The goal is a cleaner review process.
Transparency
Every signal should be explainable.
The platform is designed to show why a stock appears on the board: its behavior, industry context, portfolio impact, and risk constraints. IQVANT does not need a black-box narrative to create value.
InputDaily close and market classification
ModelNormalized dislocation and context scoring
ControlPortfolio exposure and risk limits
OutputRanked review board