Backtesting built
by traders.
Hi, I'm Daniel, the founder of CuteMarkets.
CuteMarkets started from a practical trading problem: research workflows need point-in-time market data that is easy to request, audit, and join across stocks and options.
My background combines a M.Sc. in Computer Science at LMU Munich, published research in AI and Quantum Computing, professional Machine Learning work, and more than 7 years of systematic trading experience. That mix shapes the product: explicit data contracts, documented endpoints, and enough operational discipline for serious research workflows.
Why I built CuteMarkets
Many market-data integrations force a bad tradeoff: high cost, legacy delivery, or missing context around the exact market state a strategy could see before acting.
CuteMarkets is built around the objects a developer actually needs: stock context, option-specific fields, Greeks, IV, quote evidence, trades, bars, expirations, and a REST and WebSocket structure that stays predictable as the workflow grows.
The goal is a data surface that can be tested directly: documented endpoints for U.S. stocks, option chains, contracts, quotes, trades, aggregates, Greeks, expirations, indicators, and live streams.
"CuteMarkets exists so a developer can ask for the market state a strategy could actually see, then keep that path reproducible."
— Daniel Ratke
Engineering behind the product
The Auralis Group team brings experience in AI, cloud engineering, operations, and high-performance systems to the market-data workflows CuteMarkets supports.
Daniel Ratke
Founder & CEO
M.Sc. Computer Science (LMU), 7+ years systematic trading, founder of Auralis Group (70+ employees).
LinkedIn →
Carina Volz
Executive Assistant
Operations & project coordination. The organizational heart ensuring everything runs smoothly.
Core Team
Viktoria Chapov
Founding Manager
B2B‑SaaS marketing strategist focused on go‑to‑market, data‑driven campaigns, and automation.
Core Team
Daniel Busch
Software Engineer
Full-stack developer focused on high-performance backends and clean, intuitive UIs.
Core TeamBuild against the stocks and options data surface directly.
Start with a free account, test real endpoints, and upgrade when the workflow needs longer lookback, live access, quotes, or streaming.