Anton Antonov, Head of AI and Quant Research at dxFeed, in collaboration with Arseni Yustus, Solutions Architect at AWS, will take the stage at AWS Cloud Day in Prague with a session titled “Modern AI-infused Applications for Financial Markets.”
In the session, Anton and Arseni will explore practical strategies for applying artificial intelligence to real-world financial market analysis. Drawing on case studies of dxFeed’s SummerFox reporting engine and Grenadier anomaly detection system, they will share insights on agentic AI workflows, Model Context Protocol (MCP) implementation, advanced prompt engineering, and quality control techniques that ensure reliability in market data applications.
The presentation comes at a pivotal moment for dxFeed, following SummerFox’s recent recognition as “Best AI Technology – Trading” at the 2025 Sell-Side Technology Awards. This underscores the company’s reputation for cutting-edge innovation and its impact on the global financial community.
SummerFox is an advanced AI-driven market intelligence engine that seamlessly integrates real-time market data, news, and analytics into clear, actionable narratives. Built to tackle information overload, it delivers concise, customizable reports and intuitive visualizations that help investors and portfolio managers make faster, smarter decisions.
Meanwhile, dxFeed Grenadier is redefining anomaly detection in trading. Powered by state-of-the-art unsupervised machine learning models, Grenadier provides real-time insights into unusual market behaviors such as regime shifts, atypical order flows, and potential trade halts. By detecting early warning signals, it enhances risk management, market-making, and execution strategies.
Both solutions rely heavily on AWS services and infrastructure, including running high-load EMR jobs for historical data analysis, Bedrock for easy access to LLM inference, and scalable EC2 for hosting. With both SummerFox and Grenadier, dxFeed continues to push the boundaries of how AI can transform financial markets—turning complex data streams into meaningful intelligence.
