Don’t just take our word for it — listen to how NURP is transforming traders’ performance
Richard was a successful business owner who founded and sold multiple companies — including the largest independent auto dealer in the U.S. After retiring, he turned to the markets to grow his capital without being glued to a screen. That search led him to NURP.
“At the end of the day, I didn’t want to be parked in front of a computer for 8 hours a day… With NURP, once you set it up, there really isn’t that much to do. It’s slow, methodical — what Warren Buffett calls a snowball at the top of a really long hill. That’s all you need: patience and compounding.”
Rohan is a cloud engineer who used to trade futures manually after work, but emotions kept erasing his gains. Two months ago he funded an $85,000 account running NURP’s Odyssey algorithm at a 2× risk multiplier. After a brief ~10% drawdown, the account climbed back to break-even while he did nothing more than glance at MetaTrader during daily hikes. Watching Odyssey respect its long-term ~4.9% max drawdown (per 1× risk) gave him the confidence to let it run unattended.
“It’s like having an employee that trades full-time for you — emotionless and precise.”
With 30+ years of self-directed stock trading and two company exits, Ronnie wanted a steadier, more hands-off way to grow capital. He funded five live NURP accounts — at least two running the Argos forex algorithm — totaling ~$1M. Since mid-February 2025 the accounts have averaged about 6.99% per month, reaching ~16.66% cumulative in the first nine weeks, all with only brief daily check-ins while broader markets stayed choppy.
“It’s been my comfort zone — consistently going up even while everything else is down.”
Bill has run multiple businesses — from a medical spa business he launched in 2003 to developing and patenting a medical device in recent years. After years of traditional investing (including an IRA that dipped to ~$800k in 2020 and only crawled back near $1M), he wanted a faster, more compounding-friendly path. He discovered NURP in May 2024, learned FX during onboarding, and began with Gold Digger — seeing months from ~6% up to ~14% in his experience. Targeting 4–5% per month compounded, he even moved funds from retirement accounts — despite penalties — because the growth pace felt materially better to him.
“Compared to my IRA, even 4–5% a month compounded grows exponentially. It was worth paying the penalty to move into NURP.”
After a $115,000 setback trying to build passive income with Amazon FBA, Greg found NURP via Facebook. He tested a demo, then funded a live Gold Digger account on the ATA-Pro profile. In just two months he’s become a full NURP user, leaning on virtual office hours and the Circle community — a teacher-first experience he says is far simpler than inventory-based ventures.
“All the things I was leery of, you’ve proved me wrong. Step up, invest in yourself, and give it a shot.”
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.
