# XYZ Labs DeFi Sniper Technical Audit & Product Assessment **Architecture Audit • Marketing Package • Technical Review** Prepared for XYZ Labs # **1\. Executive Summary** DeFi Sniper is an AI-assisted quantitative trading platform focused on concentrated liquidity market making (CLMM). The platform combines market ingestion, financial mathematics, paper trading, strategy evaluation, graph relationships, and execution orchestration into a modular system. ![][image1] # **2\. Product Snapshot** | Capability | Status | | :---- | :---- | | Market Data Indexers | Complete | | CLMM Math Engine | Complete | | Paper Trading | Complete | | Strategy Engine | Advanced | | Execution Pipeline | In Progress | | Graph Database | Integrated | | Vector Memory | Integrated | | Risk Engine | Advanced | # **3\. Architecture** Market Data ↓ Normalization ↓ Multi-Database Layer (Postgres • Apache AGE • TimescaleDB • DuckDB • LanceDB) ↓ Strategy Engine ↓ Paper Trading ↓ Risk Evaluation ↓ Execution # **4\. Technology Stack** | Component | Purpose | Value | | :---- | :---- | :---- | | PostgreSQL | Transactional storage | Reliable structured data | | Apache AGE | Graph relationships | Strategy and asset graphs | | TimescaleDB | Time series | Historical market analytics | | DuckDB | Analytics | Fast reporting | | LanceDB | Vector search | AI memory and retrieval | | Paper Trading | Simulation | Risk-free validation | # **5\. Workflow** Scan Markets → Detect Opportunity → Validate Strategy → Simulate → Score Risk → Human Approval or Automated Execution → Monitor → Learn. # **6\. Key Strengths** * Modular architecture with clean separation of responsibilities. * Financial mathematics isolated from execution. * Graph relationships suitable for explainable AI. * Paper trading enables safe strategy validation. * Designed for multi-chain expansion. # **7\. Technical Assessment** | Category | Assessment | | :---- | :---- | | Architecture | 9.5 / 10 | | Financial Math | 9.3 / 10 | | Extensibility | 9.4 / 10 | | Documentation | 8.8 / 10 | | Production Readiness | 7.8 / 10 | # **![][image2]** # # **8\. Roadmap** * Complete live execution connector. * Expand strategy library. * Institutional reporting dashboards. * Multi-chain execution support. * Autonomous AI-assisted optimization. # **9\. Marketing Position** Position the platform as a Quantitative Research Operating System for Concentrated Liquidity Markets rather than simply an AI trading bot. Emphasize research, simulation, explainability, and modular infrastructure. [image1]: [image2]: