client success story
Executive Summary
Ronnie is a serial entrepreneur with more than 30 years of self-directed stock trading. After selling two companies he wanted a steadier, more hands-off way to grow his capital. He funded five live Nurp accounts – at least two running the Argos forex algorithm – for a combined total approximately $1 million. Since mid-February 2025 these accounts have produced about nearly 6.99% per month on average, with a cumulative gain of 16.66% in the first nine weeks, while broad equity markets remained volatile. Oversight is limited to a quick log-in a few times a day.
Serial entrepreneur
Since late 2024
Intelligent Trader portfolio with multiple live accounts, including two Argos algorithms
> $1M USD across 5 accounts
The Challenge
Years of manual trading left Ronnie exposed to market swings. The sharp volatility in late 2024 showed him that even well-researched stock picks can whipsaw. He wanted a market-neutral approach that could compound without constant screen time.
While researching “best AI trading bots” he discovered Nurp. He reviewed Trustpilot feedback, studied public MyFXBook links, and spoke at length with the Nurp team. The new trade-copier platform, which removes weekly lot-size adjustments, convinced him to start with $200,000 and later scale to five separate accounts so no single strategy dominated his risk.
“It’s been my comfort zone, consistently going up even while everything else is down.”
– Ronnie
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.
