Algorithmic Trading
From data ingestion to live execution, LiquidityAI streamlines the lifecycle of systematic strategy development. Quantitative teams can iterate quickly with a unified environment for research, backtesting, and deployment.
Research Tools
- Historical market data normalized across venues and assets.
- Python and TypeScript SDKs with access to feature engineering utilities.
- Versioned experiments to track assumptions and outcomes.
Deployment Pipeline
Push strategies into production with containerized runtimes, automatic risk checks, and real-time monitoring. Rollbacks and hot-swaps minimize downtime when models require updates.
Strategic Advantages
- Rapid iteration shortens the path from research insight to deployed alpha.
- Unified tooling reduces context switching for quants and engineers.
- Built-in compliance checks help satisfy internal and regulatory policies.