Hank has more than a decade of algorithmic and quantitative trading experience, building proprietary trading systems and quantitative trading strategies for Morgan Stanley, UBS, Allston Trading, and hisown proprietary trading firm. He has generated over $100M USD in total career trading profits, averaging more than 70% return per annum. Hank started creating and testing quantitative trading strategies for the digital asset market in 2017 and has returned over 100%. Hank holds a master’s degree in computer science and a bachelor’s degree in finance from the Massachusetts Institute ofTechnology. Hank provides advice on the design and operations of the software infrastructure used by Prism Capital for its algorithmic trading operations. Hank also advises on trading strategies and research carried in relation to the digital assets markets.
•Founder of full-stack low-latency, algorithmic trading platform focused on exchange connectivity, automated trading strategies deployed on digital asset markets.
•Founder proprietary quant trading firm specialized in trading futures on the CME.
•Senior quant trader high frequency trading in spot and futures market of FX and Metals (EBS, CME, NyMEX, LME).