Signal research grounded in live market behavior.
Market structure, cross-asset relationships, trend regimes, liquidity, and risk behavior.
Systematic digital asset infrastructure
Deploy systematic
digital asset
strategies
without building
the full quant stack.
Mnemex provides signal APIs, execution software, and strategy deployment. Hosted infrastructure is available for institutions building model-driven digital asset exposure.
Built for teams that need systematic research, deployable models, execution tooling, and operational infrastructure.
6 access layers
4 strategy modules
25+ years trading experience
API signal delivery
What Mnemex builds
A research and deployment layer for digital asset strategies.
Mnemex turns systematic research into reviewable, licensed, and operational strategy modules.
Evidence packages for serious strategy review.
Backtests, regime analysis, drawdowns, beta, correlation, turnover, and capacity framing.
Model IP structured for external use.
Signals, model logic, managed accounts, fixed licenses, and aligned commercial terms.
Infrastructure that supports live deployment.
Risk controls, monitoring, execution assumptions, and ongoing model review workflows.
Product stack
Multiple ways to access systematic digital asset IP.
AlphaShelf. A catalogue of deployable digital asset models.
The primary Mnemex product for investors who want reviewable, outcome-driven strategy modules without building a full internal quant stack.
- Use case
- Strategy selection for portfolio objectives such as protection, diversification, trend participation, and yield enhancement.
- Access
- Review model packages and license the modules that fit the mandate.
Mandate-specific research and model development.
- Use case
- Designing strategy logic around a specific universe, exchange setup, exposure target, or risk constraint.
- Access
- Research engagement, signal delivery, or implementation support.
Operating model
From hypothesis to deployable model.
The workflow is built to make research understandable before capital, engineering time, or operating resources are committed.
Define the portfolio problem, market universe, constraints, and decision criteria.
Evaluate signal logic, robustness, regime behavior, and implementation assumptions.
Package model outputs, risk controls, monitoring, and commercial access terms.
Strategy thesisSignal definitionUniverse selectionRisk profile
Drawdown behaviorCorrelation profileCapacity estimateExecution assumptions
Start a review
Discuss the model layer your mandate needs.
For institutions and systematic investors evaluating digital asset strategy IP, signal access, or deployment infrastructure.