Choose your algorithm, connect your brokerage, and let automation work.
HOW TO START
No trading desk, no code, no watching charts at 3am.
01
Connect your brokerage
Link your brokerage account directly. Nurp never holds or pools funds — every trade happens securely inside the account you already own.
02
Connect an algorithm
Intelligent Trader is designed for distinct market conditions, each with data verified by an independent third party.
03
Let automation work
Link your brokerage account directly. Nurp never holds or pools funds — every trade happens securely inside the account you already own.
Discover the method
See exactly how the algorithms work
Book a consultation and we’ll walk you through each algorithm, the risks involved, and whether any of it suits your objectives. No pressure, no obligation.
FAQS
Frequently asked questions
Getting started · who it’s for, how it runs
Nurp algorithms are verified through independent tools like MyFXBook, showing live data, drawdowns and performance so you can review transparent, third-party verified results.
Results are independently verified through MyFXBook, where you can view drawdown, trade history and performance metrics for each algorithm.
Verified performance through MyFXBook, updated daily with real-time data like actual max drawdown. Third-party tracking shows exact algorithm results before you subscribe.
Quantitative models follow data-based logic. You can verify performance through independent tools like MyFXBook and through Nurp’s dashboard analytics.
Performance & verification · what you can check
Algorithmic strategies tend to appeal to people who value data transparency and a structured approach. The systems are designed for individuals looking for measurable methods rather than intuition. Trading in futures and derivatives involves substantial risk and is not suitable for everyone.
We offer educational support and consultations covering how each algorithm works, the risks involved, and whether it may suit your objectives and comfort with risk exposure. Talking to us costs nothing and carries no obligation.
Automated trading is programmed to execute when certain market conditions are detected. That aims to help you react faster, reduce timing errors, and manage activity more efficiently than watching charts by hand.
Algorithmic trading applies quantitative rules to help reduce emotional decisions. Using structured models, Nurp algorithms execute against measurable, data-based criteria instead of gut feel.
Risk & safety · the parts that matter most
No. Nurp’s software cannot guarantee profits, and all trading carries market and technology risk. Default stop losses are on for each algorithm, and users can adjust them if they prefer.
Nurp licenses trading algorithms only. We don’t give investment advice and we don’t manage funds — you trade through your own connected account using software designed for automated operation.
Nurp algorithms use market-neutral strategies, which aim to work in both rising and falling markets by balancing long and short positions. These systems adapt to volatility through structured rules — though no approach eliminates the risk of loss.
Diversifying across crypto, currency pairs and metals balances exposure and reduces reliance on one market type. Each algorithm performs independently within its data model. Diversification does not eliminate the risk of loss.
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.
