
The strategy is designed to systematically reduce volatility relative to the underlying markets through a combination of quantitative models and execution frameworks, including futures arbitrage and other systematic trading approaches. By leveraging disciplined, rules-based execution and dynamic positioning, the system targets stable performance with competitive upside potential across varying market conditions.
The strategy is delivered via API integration to client exchange accounts, allowing for seamless execution while ensuring that all assets remain fully owned and controlled by the client at all times.
The core trading universe consists of major liquid digital assets, including Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Solana (SOL).
Predominantly systematic and data-driven, the strategy dynamically adapts to volatility and liquidity regimes through algorithmic parameter tuning and real-time adjustments.
Automated execution with no discretionary trade selection.
All assets remain fully owned and controlled by the client via API integration to their exchange accounts.
Designed to operate with lower volatility and shallower drawdowns than the underlying market through systematic position management.
Dynamically adjusts to changing market conditions. Performs best in sideways and volatile markets where structured signals drive consistent returns.
Entirely proprietary systems managed in-house, from data sourcing and model development to execution and reporting.
Modular, production-grade system on AWS with OMS, EMS, portfolio monitoring, and reporting modules.
Trades routed directly to exchanges without aggregators or intermediaries.
Machine learning models for parameter tuning, signal optimization, and adaptive risk management.
Geographically separated environments with disaster recovery and fault-tolerant messaging.
Encryption at rest and in transit, role-based access controls, continuous monitoring, and periodic penetration testing.
Formal dual-approval process for all production algorithm changes with segregated development and deployment.
Execution quality and risk are monitored continuously with automated controls governing position sizing, exposure, and drawdowns.
Max Leverage
1.0x NAV
Capacity
USD 200M+
Execution
Liquidity Taker
Connectivity
Direct APIs
Order-to-fill latency, realized slippage, and fill efficiency tracked in real time to inform ongoing refinements.
Predefined constraints on leverage, exposure, position concentration, and drawdowns enforced automatically.
Inquiries
ash.muchket@pandion.partners