Nurp’s algorithmic trading strategies are engineered for disciplined investors who value capital preservation, risk control, and results verified by independent data.
No pressure. No pitch. Just a conversation to assess if Nurp is the right solution for you.
For high-net-worth investors seeking smarter ways to protect and grow their wealth, Nurp delivers more than algorithms – we provide disciplined, data-driven execution designed to navigate markets with precision.
Harness advanced algorithmic execution with full visibility into performance and activity — no manual trading required.
Built-in risk frameworks safeguard your investments—so growth never comes at the cost of stability.
All strategies undergo third-party validation through MyFXBook and Alpha Performance to ensure transparency, trust, and proof.
For high-net-worth investors seeking smarter ways to protect and grow their wealth, Nurp delivers more than algorithms – we provide disciplined, data-driven execution designed to navigate markets with precision.
Harness advanced algorithmic execution with full visibility into performance and activity — no manual trading required.
Built-in risk frameworks safeguard your investments—so growth never comes at the cost of stability.
All strategies undergo third-party validation through MyFXBook and Alpha Performance to ensure transparency, trust, and proof.
A disciplined, algorithmic trading platform for investors who prioritize capital preservation, steady growth, and verified results.
Explore Nurp’s three proprietary algorithmic trading strategies designed for different levels
of investor risk tolerance and performance objectives.
All of Nurp’s algorithmic trading strategies are independently validated and viewable on MyFXBook.
Request a confidential consultation to explore if our strategies align with your goals.
No pressure. Just clarity.
AI Quantitative
Researcher
Bingham Zhou
Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.
Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance
Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).
Abhayjit Anand
Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.
