How a Quantitative Crypto Fund Secured Their ML-Driven Trading Infrastructure with an Internal Security Review
Challenge
As Nexyst prepared to scale their trading operations and onboard institutional capital, they needed comprehensive assurance that their smart contract infrastructure met the highest security standards. Their trading contracts handle significant capital flows and interact with multiple DeFi protocols.
Solution
AuditBase performed a comprehensive trading contract review, DeFi integration analysis, access control validation, economic attack surface analysis, and gas optimization review tailored for algorithmic trading systems.
“AuditBase understood exactly what we needed—rigorous security analysis applied to trading infrastructure where the stakes are measured in milliseconds and basis points. Their team identified issues our internal reviews had missed and provided actionable recommendations we could implement immediately.”
Valentin Zhigulin
CEO, Nexyst Digital
The Client
Nexyst Digital is a quantitative, multi-strategy crypto asset management firm focused on systematic alpha generation. Founded by veterans of traditional finance institutions including Citadel and leading quantitative hedge funds, the firm combines decades of experience in institutional asset management, high-frequency trading, and advanced trading technology.
The Nexyst platform integrates machine learning and neural networks into sophisticated trading algorithms, operating market-neutral and dynamic strategies designed to generate returns uncorrelated to broader crypto market movements.
What We Did
- Comprehensive trading contract review examining order execution logic, position management, and settlement mechanisms across their core trading infrastructure
- DeFi integration analysis auditing all external protocol interactions including DEX integrations, liquidity pool operations, and cross-protocol fund flows
- Access control validation verifying multi-signature requirements, role-based permissions, and emergency shutdown mechanisms for trading operations
- Economic attack surface analysis modeling potential MEV exploitation, sandwich attacks, and other adversarial scenarios specific to algorithmic trading
- Gas optimization review ensuring trading execution remains economically viable under varying network conditions and congestion scenarios
What We Found
Our internal review identified several areas for improvement that strengthened Nexyst's trading infrastructure before scaling operations:
MEDIUM — Reentrancy Vector in Position Settlement Identified a potential reentrancy path in the position settlement flow when interacting with certain callback-enabled tokens. Recommended implementing checks-effects-interactions pattern and reentrancy guards.
LOW — Timestamp Dependency in Order Expiration Order expiration logic relied on block.timestamp with tight tolerances. Suggested implementing block-based expiration as fallback to prevent issues during network timestamp drift.
INFORMATIONAL — Gas Optimization Opportunities Identified several storage access patterns that could be optimized to reduce gas costs during high-frequency trading operations, improving execution economics by an estimated 15-20%.
All findings were remediated within two weeks. Our follow-up verification confirmed successful remediation, clearing the infrastructure for institutional capital deployment.
The Result
Nexyst deployed their hardened trading infrastructure with full confidence in its security posture. The internal review provided the assurance their institutional investors required, while the gas optimizations we identified improved their trading economics—a direct contribution to fund performance.