What Customers Say About Nurp's

Algorithmic Trading Software

Built on transparency. Backed by real customer experiences.

Real Experiences

Real Experiences From Customers Using
Nurp's Automated Trading Software

At Nurp, we believe trust is earned through transparency and real-world usage, not promises. This page highlights genuine feedback from customers who license and use Nurp’s algorithmic trading software as part of their own trading strategies.

$85M

In customer-deployed
capital, currently trading

$25M

Customers’ realized
gains

675K+

Trades executed via
Nurp algorithms

3,500+

Number of
customers

Video Testimonials

Every Customer Uses Nurp Differently

Below are real stories shared by customers who have integrated Nurp’s algorithmic trading software into their trading process. These testimonials reflect personal experiences and do not represent typical outcomes.

Third Party Reviews

Why We Value Independent Feedback

In addition to customer testimonials, Nurp is independently reviewed on trusted third-party platforms where clients share unfiltered experiences about our algorithmic trading software.

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Results shown are not typical. Past performance is not indicative of future results. Trading involves significant risk of loss. Customer testimonials and reviews reflect individual experiences only and do not constitute investment advice or a guarantee of similar outcomes. Nurp provides algorithmic trading software for licensing purposes only and does not provide investment advice or manage customer funds. All trading decisions remain solely with the customer. Statistics cited (capital deployed, realized gains, trade counts) are aggregated estimates based on available customer data and are subject to change. Trustpilot ratings and review counts current as of date of publication. Please review all applicable disclosures before making any trading or investment decisions.

© 2026 Nurp LLC. All rights reserved.
Nurp LLC (“Nurp”) is a software-as-a-service provider and financial education company. Nurp does not provide investment advice or commodity trading advice, and does not tailor any information to the individual commodity interest positions, cash market positions, or personal circumstances of any client. Nurp does not direct client accounts or make trading decisions on behalf of any user. Nothing on this website constitutes an offer or solicitation to buy or sell any specific investment or commodity interest.
You are solely responsible for your own trading and investment decisions. Before making any financial decision, consult a qualified investment or financial professional who can assess what is appropriate for your individual circumstances.
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. NURP MAKES NO REPRESENTATION THAT USE OF ITS PRODUCTS WILL GENERATE INCOME OR PRODUCE A PROFIT. USE OF NURP’S PRODUCTS INVOLVES SIGNIFICANT RISK, INCLUDING THE RISK OF SUBSTANTIAL OR TOTAL LOSS OF CAPITAL. TRADING IN FUTURES AND DERIVATIVES INVOLVES LEVERAGE, WHICH CAN AMPLIFY BOTH GAINS AND LOSSES. YOU SHOULD NOT TRADE WITH FUNDS YOU CANNOT AFFORD TO LOSE.

For full details, please review our [Terms & Conditions] and [Risk Disclosures].

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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.

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Quant–Investment Strategist
Greg doscher

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

Quant–Investment Strategist
Marcin Borratynski

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).

Product Manager

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.