Point-in-time universe
Evaluate liquidity and availability at each historical moment to reduce survivorship bias.
PLATFORM / PORTFOLIO INTELLIGENCE
Research more than one trade. Research the market system.
Cross mode ranks a point-in-time universe, forms long/short baskets and carries the portfolio through the same discovery, evidence and execution cycle.
SYSTEM DOMAIN01 / SYSTEM
One strategy object across the entire lifecycle
- DISCOVER
- OPTIMIZE
- VALIDATE
- RUN
- OBSERVE
One snapshot, one ranking
Compare momentum, funding and other signals across assets at the same point in time.
Long and short baskets
Build explicit top-N long and bottom-N short legs from the relative ranking.
Risk-aware weights
Use equal, inverse-vol or covariance-aware weights with optional beta-neutral targeting.
Reasoned rebalance
Recalculate targets while retaining entry, exit, block and rejection reasons.
Concentration tests
Use walk-forward, token dropout and turnover analysis to expose fragile portfolios.
DECISION FRAMEWORK
Does the portfolio capture relative structure without hidden concentration?
Review the point-in-time universe, both baskets, gross and net exposure, weighting, turnover and dependence on individual tokens before total return.
Build a historical universe
Balance long and short risk
Stress token dropout and turnover
Versioned Cross portfolio
Important
Historical, statistical and model results do not promise future returns. kquant provides computational tools and technical execution, but does not assess whether a specific trade is suitable for a user.