Handbook
Best practices for architecting quantitative trading systems
How five global firms power real-time data streaming and agentic AI in production.
In quantitative trading, the edge belongs to the firm whose data moves fastest and most reliably. This handbook breaks down the trends and challenges reshaping trading infrastructure, where real-time data streaming and agentic AI create value across the trading lifecycle, and how five firms are putting it into practice today.
Download this handbook to learn:
- Trends and challenges facing quantitative trading infrastructure in the era of AI
- Where real-time data streaming and agentic AI create value across the trading lifecycle
- How NYSE, Jump Trading, Alpaca, StoneX, and Zafin run mission-critical financial workloads
- How to get started with Redpanda
Download the handbook
Analyze or share this content:
By clicking "Download Now" you agree to receive occasional email updates from Redpanda Data. You also agree that your personal data will be processed in accordance with our Privacy Policy.
Take a peek
No items found.