Portfolio Management
How should we construct, size, and rebalance the portfolio?
A skill-based portfolio engine that spans the full portfolio lifecycle - global multi-venue portfolios, live positions and exposure, position-level intelligence, valuation and conviction, and risk and limits. It doesn't take institutional active-management theory on faith; it tests it empirically, keeps what works, and debunks what doesn't.
Global portfolios - multi-venue, quant + intelligence, fitness-scored
53+
Skills
Simulated
Strategies
Multi-venue
Portfolios
Governed
Risk
Role in Sigmance
The portfolio strategist. Sitting between valuation and execution, it owns the whole portfolio surface - constructing global multi-venue portfolios, tracking live positions and exposure, overlaying position-level intelligence and conviction, and enforcing risk and limits. It simulates both quantitative and intelligence-driven strategies, tests institutional theory against the results, and keeps only the methods that actually hold up.
Capabilities
Empirical Validation
Simulates both quantitative and intelligence-driven strategies and tests institutional theory against the results - keeping what works, debunking what doesn't.
Global Portfolios
Multi-venue portfolios blending quantitative and intelligence-driven strategies, with a live fitness score and intelligence-generated change requests.
Positions & Exposure
Live positions, gross and net leverage, and exposure mapped across slices, venues, sectors, and direction - with rationale on every holding.
Position Intelligence
A health and conviction overlay on every position - the world-model signal and thesis behind each holding, flagging what is weakening.
Valuation & Conviction
Thesis validation position by position - fair-value and conviction tracking that flags the moment a holding's thesis is challenged.
Risk & Limits
Explicit position and concentration limits, live breach detection, and autonomous controls the machine cannot quietly cross.
Consumes
- ValuationPacket
- ScenarioRegistry (Multiverse)
- Mandate & risk policy
Produces
- Position decisions
- Risk budgets
- Rebalance rules
Game-Theoretic Lens
Analyzes crowding risk, common-factor concentration across managers, and adversarial fee structures.
Connected subsystems
The machine is the edge.
Portfolio Management is one part of Sigmance - an autonomous, self-evolving system that compounds intelligence into capital decisions. We're opening early access to qualified investors and partners.
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