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 and the risks involved, and you can decide if any of them suit 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.
Automated Trading Made Easy
Choose your algorithm, connect your brokerage, and let automation work.
Nurp develops AI trading software and quantitative systems designed to help investors trade with structure, not emotion.
1
Connect an Algorithm
Select from Nurp’s trading algorithms: All Weather, Argos, Buterin, or Talos, each designed for distinct market conditions with data verified through independent third party.
2
Connect Your Brokerage
Link your brokerage account directly. Nurp never holds or pools funds; all trades occur securely within your brokerage account.
3
Let Automation Work
Nurp gives customers access to diversified strategies, risk-managed automation, and AI-enhanced data modeling.
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Diversified Quant Strategies
Trade across forex (currencies), commodities (gold, silver), and cryptocurrencies to help balance exposure and minimize correlation risk.
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Built-In Risk Management
Transparent and Verified Results
The performance of all algorithms are independently verified through MyFXBook, allowing every trade and metric to be validated externally by a third party.
Automated Execution You Control
The Intelligent Trader
(Min) Price:[4]
$6,997
Algorithms: Current and future algorithms (subject to availability)
Minimum Deposit: $10,000
Account Type: Standard
A diversified quantitative model with sixteen subsystems trading major currency pairs and gold. It aims to deliver balanced exposure and disciplined execution across varying market conditions.
Asset Classes: Forex, Precious Metals, Crypto (BTC, SOL, ETH, BNB)
Minimum Balance: $50,000 •
Optimal: $100,000+
Subsystem Stop Loss: 2–11%
Max Historic Drawdown (backtested): 13.9%
79.2%
A multi-layered quantitative trading system focused on efficiency and stability across forex and metals. Argos dynamically allocates risk to help manage downside exposure and support disciplined trade execution.
Asset Classes: Forex and Gold
Frequency: 1,500–2,000 trades per month
Minimum Balance: $20,000 •
Optimal: $30,000
Max Historic Drawdown: 7.6%
77.3%
A data-driven crypto trading framework capturing opportunities in BTC and ETH with shorter holding periods and frequent trades.
Asset Classes: Crypto (BTC and ETH)
Frequency: ~150 trades per month
• Avg Hold: 4.5 hrs
Minimum Balance: $20,000 •
Optimal: $35,000+
Max Historic Drawdown: 42%
159%
A capital-preservation-focused quantitative trading approach built with the purpose of low drawdowns and steady growth potential.
Asset Classes: Forex and Precious Metals
Frequency: 400–500 trades per month
Minimum Balance: $50,000 •
Optimal: $100,000+
Avg Risk per Subsystem: 1.50%
Max Historic Drawdown: 3.93%
19.6%
The performance of Nurp algorithms are independently tracked on MyFXBook, giving customers confidence through real-time, third-party validation.
Nurp algorithms are verified through independent tools like MyFXBook, showing live data, drawdowns and performance so customers can review transparent, verified results.
Algorithmic trading applies quantitative rules to help reduce emotional decision making. By using structured models, Nurp algorithms aim to execute trades using measurable, data-based criteria.
Nurp’s trading algorithms’ results are independently verified through MyFXBook, a 3rd party, where customers can view drawdown, trade history and performance metrics for transparency.
Nurp algorithms use market-neutral strategies, which aim to profit in both rising and falling markets by balancing long and short positions. These systems adapt to volatility through structured rules.
Quantitative models follow data-based logic. Customers can verify performance through independent tools like MyFXBook & Nurp’s dashboard analytics, supporting transparency & informed decisions.
Nurp offers educational support and consultations to help customers understand how each algorithm works, the risks involved, and whether it may suit their objectives and comfort with risk exposure.
© 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].
1. Nurp’s algorithmic trading software uses artificial intelligence and automated execution technology. Use of AI in trading involves inherent risks, including the risk of model errors, inaccurate outputs, and AI “hallucinations” — instances where the system generates incorrect or unexpected results. Nurp’s algorithms are also subject to technology and software risks, including system outages, connectivity failures, and delays or failures in trade execution. These risks may result in unintended trading activity or financial loss. There is no guarantee that the software will perform as intended under all market conditions.
2. Diversification and the use of uncorrelated trading strategies do not eliminate the risk of loss and may not reduce all forms of risk. Risk mitigation techniques employed by Nurp’s software are designed to manage, not eliminate, trading risk. Significant or total loss of capital remains possible even when risk mitigation features are in use.
3. Past performance of Nurp’s algorithmic trading software — whether backtested, simulated, or based on live results — is not indicative of future results. Nurp makes no guarantee regarding the future performance of its software or the trading results any user may achieve. Use of algorithmic trading software may result in substantial losses, including the total loss of invested capital.
4. Nurp charges a recurring monthly licensing fee for access to its software products. The specific fee amounts and payment terms applicable to your subscription are set forth in your applicable subscription agreement. Fees do not guarantee any particular trading outcome or level of software performance.
5. Trading in futures, derivatives, and other financial instruments involves substantial risk and is not suitable for all investors. You may lose some or all of the capital you commit to trading. Only trade with funds you can afford to lose entirely.
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.
