Large drawdowns
Investors de-risk at the worst time.
Systematic strategies, ready to deploy
AlphaShelf.
A dedicated catalogue of deployable digital asset strategies for institutional portfolios. Deploy proven alpha, faster.
For asset managers, funds, family offices, proprietary traders, and systematic traders.
White-label ready
4 model families
API + deployment
Model catalogue
Systematic strategies mapped
to portfolio objectives
to portfolio objectives
Objective
Strategy
Delivery
ProtectLeftTailOverlay
UncorrelatedCrossFinderStat-arb
ParticipateInertiaTrend
GrowOverCompoundYield
Strategy thesis
Risk profile
Live / backtest evidence
Deployment requirements
Licensing terms
Crypto exposure alone is not enough
Digital asset investors need more than passive exposure.
Long-only crypto exposure can generate upside, but it also creates large drawdowns, high volatility, and dependence on market direction. Many investors need systematic tools that help them stay allocated, reduce discretionary timing, and add return streams beyond beta.
Portfolio pressure
Beta is not a strategy.
Drawdown sensitivity
BTC / ETH dependence
Internal build burden
High beta dependence
Returns rely too much on BTC and ETH direction.
Expensive buildout
Research, validation, and execution take time.
Backtest uncertainty
Strategies need robustness, not just attractive charts.
Operational burden
Selection, monitoring, and implementation take resources.
Choose the outcome you need
One model catalogue. Four portfolio outcomes.
Start with the portfolio problem, then evaluate the model that fits the mandate.
Reduce downside participation and drawdowns.
Model: LeftTail
For investors who want to stay long but reduce exposure during adverse regimes.
Add alpha designed to reduce reliance on broad market direction.
Model: CrossFinder
For portfolios that need uncorrelated or lower-beta return drivers.
Capture directional trends with rules-based discipline.
Model: Inertia
For investors who want systematic upside capture without emotional timing decisions.
Generate income from existing crypto exposure.
Model: OverCompound
For investors seeking yield-style enhancement around existing digital asset holdings.
Model catalogue
Deployable models for different portfolio problems.
Stay invested while managing drawdowns.
- Use case
- Systematic hedge overlay for long-only digital asset portfolios.
- Benefit
- Seeks to reduce drawdowns and downside participation.
- Implementation
- Overlay on existing exposure with dynamic hedge adjustment.
Target uncorrelated alpha with lower market exposure.
- Use case
- Cross-sectional statistical arbitrage across digital assets.
- Benefit
- Targets uncorrelated alpha with lower market beta.
- Implementation
- Ranking, portfolio construction, and systematic risk controls.
Capture crypto trends with rules-based discipline.
- Use case
- Trend participation across liquid digital assets.
- Benefit
- Participates when trends are strong and steps back when signals weaken.
- Implementation
- Signal strength, risk scaling, and regime-aware exposure.
Grow existing exposure with systematic yield generation.
- Use case
- Yield-style enhancement around existing digital asset holdings.
- Benefit
- Designed to add an income-oriented layer to portfolio exposure.
- Implementation
- High-level module pending detailed strategy material.
Built for different users
Model access that fits your mandate.
Asset managersAdd systematic overlays or alpha sleeves.
Long-only crypto fundsUse hedge overlays to manage downside exposure.
Multi-strategy fundsAdd stat-arb, momentum, or overlay modules.
Family officesReview institutional-style strategies without internal buildout.
Proprietary trading firmsLicense signals, models, or strategy IP.
Systematic individual tradersAccess model-driven discipline and research frameworks.
Why not build internally?
Shorten the path from research idea to deployment.
Building systematic digital asset strategies internally requires research talent, data infrastructure, validation, execution logic, monitoring, and ongoing model review. AlphaShelf helps clients access existing strategy research and license only the modules that fit their mandate.
Avoid building a full quant research team.
Reduce development and validation time.
Review strategies before committing.
License only what fits the mandate.
Preserve internal resources for allocation, risk, and execution.
Due diligence package
Packaged for serious strategy review.
Each model is presented with the information required to evaluate fit, robustness, implementation requirements, and risk profile.
Objective, thesis, signal design, and instruments traded.
Drawdown behavior, volatility, beta, correlation, and capacity.
Execution assumptions, infrastructure needs, and licensing options.
Strategy objectiveInvestment thesisInstruments tradedSignal description
Historical performanceRisk metricsDrawdown analysisCorrelation and beta profile
Capacity estimateExecution assumptionsImplementation requirementsLicensing terms
Risk controls
Risk controls are built into every model.
Clients are not only reviewing signals. They are evaluating strategies with defined risk, capacity, execution, and implementation parameters.
Volatility targeting, drawdown monitoring, beta profile.
Position limits, liquidity filters, slippage and cost assumptions.
Capacity analysis, exchange constraints, model decay monitoring, live review.
Evaluation philosophy
Robustness over headline returns.
The objective is not to show the highest backtest number. It is to help clients understand when and why each strategy should be used.
ReturnDoes it generate attractive performance?
VolatilityHow unstable are returns?
DrawdownWhat losses should be expected?
CorrelationDoes it diversify existing exposure?
BetaIs it directional or market-neutral?
CapacityHow much capital can it support?
TurnoverWhat are the execution demands?
Regime behaviorWhen does it work or struggle?
Implementation paths
Flexible access based on your infrastructure.
Access AlphaShelf through APIs, execution software, hosted infrastructure, or dedicated deployment support.
Signal API
Systematic quantitative forecasts delivered through a secure API.
Execution Software
Automated execution and exchange connectivity software.
Strategy Deployment
Deployment of licensed quantitative models into dedicated client environments.
Infrastructure Hosting
Dedicated cloud infrastructure with monitoring and maintenance.
Technical Integration
Integration with exchanges, OMS, EMS and proprietary systems.
Enterprise Support
Software updates, monitoring and technical assistance.
Find the right model
Find the model that fits your portfolio objective.
For qualified investors, asset managers, funds, proprietary traders, and systematic traders seeking model-driven digital asset strategies.
Contact us
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