We are a team of trading algorithm developers with PhDs in applied mathematics, more than 19 years of software development/scientific computing experience and 12 years experience of developing and productizing both low-frequency and high-frequency automatic and semi-automatic trading algorithms. We have built and maintain systems for backtesting and market simulation infrastructures for stocks, derivatives, commodities, FX and volatility markets. We have 20 years of active derivatives trading, volatility arbitrage, dispersion trading and stat arb portfolios.
You say we make it real.
Implementing both rule-based and Machine Learning-based trading strategies in Rust, Java, Python, Julia or Matlab
Testing, backtesting and fine-tuning trading strategies using both historical and simulated data.
Implementing realistic, closed-loop market/exchange simulation environments.
Development of both monolithic and microservice-based distributed and fault-tolerant backends for financial applications.
General-purpose scientific and technical computing tasks.
Leveraging DevOps methodology and toolchains to streamline development and operations, implement more efficient workflows, and cut down on infrastructure costs.
full-cycle custom cloud solutions, including cloud infrastructure setup, cloud application development services, cloud platforms, quality assurance, maintenance, and support.
We help companies develop data science expertise and augment their internal team’s capabilities to build data-driven products.