Our mission is to provide the fastest crypto market data feed and order-entry system in the industry, akin to the role SolarFlare’s OpenOnload plays in traditional financial markets.
Fabio Fernandes – owner and developer.
Perkunas is a sole proprietorship.
As a software vendor, Perkunas does not engage in electronic trading itself and is therefore not subject to trading or financing regulations.
Our product, vcrypto, is a set of high-performance C++ libraries that can be seamlessly integrated into customers' existing trading platforms to enhance latency and improve profitability. These libraries utilise custom DPDK drivers and a specialized TLS/TCP network stack to significantly outperform existing network components used for market data and order execution.
Currently, vcrypto supports market data and is in the process of incorporating an order-entry component.
Perkunas targets proprietary trading firms and hedge funds engaged in algorithmic HFT on cryptocurrency exchanges that operate on Amazon Web Services (AWS), such as Binance, Coinbase, Bybit, Huobi, and Kucoin. These firms employ software developers to build automated trading strategies that capitalize on price movements by sending electronic orders to the exchange. The speed at which these algorithms process data and execute trades—known as "tick-to-trade latency"—is crucial, often occurring in the low single-digit microseconds. This rapid execution is far beyond human capabilities, necessitating sophisticated algorithms for profitable trading.
We offer monthly licenses for vcrypto, allowing customers to integrate it into their existing systems. Documentation and technical support are provided.
Perkunas provides hourly consultancy to assist customers with integrating vcrypto into their trading platforms.
Perkunas offers a high-performance market data feed at an hourly rate, delivering fast crypto price information to clients' systems. Order-entry services are not included, as these would require adherence to various regulatory requirements.
A developer with exceptional creativity who can think outside the box, especially when dealing with trading connectivity. Has optimised and designed nanosecond T1 trading engines since 2013. Passionate about developing high-performance systems from the age of 14. Expert debugging skills and can reverse engineer and patch binaries without source code.
Past customers: Tower Research Capital, Credit Agricole, Liquid Capital Group, Chopper Trading, Royal Bank of Scotland
Education: 2012 M.Sc. Computer Science, University of Copenhagen