Market and flow research grounded in live behavior.
Market structure, cross-asset relationships, trend regimes, liquidity, client flow, and risk behavior.
Systematic investment & trading model development studio
We build systematic investment models.
Mnemex specializes in the research, development, and deployment of systematic investment strategies and quantitative trading models, enabling asset managers and investment funds to access institutional-grade investment technology.
For investment teams evaluating systematic digital asset strategies for live portfolios.
Research-led / implementation-ready
01 — 04
Research empirical signals
Validate model behavior
Deploy portfolio rules
Monitor live risk
Research and model development
Quantitative models.
Systematic strategies.
Digital asset markets.
Mnemex turns quantitative research into reviewable investment and trading models with defined risk, implementation assumptions, and a path to live deployment.
Evidence packages before production decisions.
Backtests, transaction-cost analysis, shadow-mode pilots, drawdowns, turnover, and capacity framing.
Models structured for investment mandates.
Systematic investment and trading models designed for defined objectives, constraints, and implementation paths.
Research prepared for live use.
Risk controls, monitoring, execution assumptions, and documentation for investment teams.
What we deliver
Systematic models for institutional mandates.
AlphaShelf. A catalogue of deployable digital asset models.
A catalogue of documented investment and trading models for asset managers and funds that need systematic capability without building every component internally.
- Scope
- Model selection across defensive, diversifying, trend, and return-enhancement objectives.
- Access
- Review research materials and license models that fit the mandate.
Mandate-specific research and model development.
- Scope
- Research around a defined universe, exposure target, trading constraint, or portfolio objective.
- Access
- Research engagement, signal delivery, or implementation support.
Model development process
From investment hypothesis to deployable model.
Every model is framed, tested, and documented so investment teams can assess the evidence before allocating capital or committing implementation resources.
Define the objective, universe, constraints, and decision rules.
Test robustness, costs, capacity, regime behavior, and implementation assumptions.
Package model outputs, controls, monitoring, and documentation for live use.
Strategy thesisSignal definitionUniverse selectionRisk profile
Drawdown behaviorTransaction-cost analyticsCapacity estimateExecution assumptions
Deploy proven alpha faster.
Start with a focused conversation about your portfolio, risk budget, and implementation requirements.