client success story
Executive Summary
Greg, a U.S. small-business owner, lost $115,000 trying to build passive income with an Amazon FBA store. While perusing Facebook he discovered Nurp, and just two months after starting on a demo and then funding a live Gold Digger account under Nurp’s legacy ATA-Pro profile, Greg became a full fledged Nurp user. He now relies on Nurp’s virtual office hours and the Circle community to guide him, describing the experience as “teacher-first” and far simpler than inventory-based ventures.
Small-business owner
2 months
Gold Digger algorithm via ATA-Pro*. Considering next: Odyssey & The Intelligent Trader bundle
Stock portfolios and 401(k)
The Challenge
Greg first discovered Nurp through a Facebook ad featuring Kevin O’Leary and, after a no-pressure education call with specialist Jordan Price, felt confident enough to test a Gold Digger demo account. Impressed, he quickly funded a live account under the ATA Pro risk-managed profile. He now deepens his knowledge through daily Zoom Q&A sessions and the Circle community, where newcomer questions are welcomed. The ability to pause a bot at any time and the consistent teacher-first support give him the flexibility and reassurance he lacked in previous ventures.
“All the things I was leery of, you have proved me wrong. Step up, invest in yourself, and give it a shot.”
– Greg
3-5%
~ 10%
~ $3.5 million
Recovered roughly half of a self-induced $600k drawdown within weeks
15 minutes
Argos
Qualitative benefits
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.
