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’s automated trading software executes trades based on predefined quantitative models, providing disciplined performance tracking and transparency in real time.
Diversified Quant Strategies
Built-In Risk Management
The Intelligent Trader
$4,997
Algorithms: Current and future algorithms (subject to availability)
Minimum Deposit: $25,000
Account Type: Standard
The Algorithm Funded Trader
$5,997
Algorithms: Argos or Talos only
Minimum Deposit: $25,000
Account Type: 5x Capital Multiplier
All Weather Algorithm
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%
Historic Annual Returns
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%
Historic Annual Returns(Compounded)
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%
Historic Annual Returns (Compounded)
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%
Historic Annual Returns (Compounded)
The performance of Nurp algorithms are independently tracked on MyFXBook, giving customers confidence through real-time, third-party validation.
Algorithmic trading strategies may appeal to customers who value data transparency and structured approaches. These systems are designed for individuals seeking measurable methods to pursue growth.
diversification across multiple assets – crypto, currency pairs, & metals – balances exposure and reduces reliance on one market type. Each algorithm aims to perform independently within its data model to support varied conditions.
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.
Automated trading is programmed to execute when certain market conditions are detected. This automation aims to help customers react faster, reduce timing errors & manage activities more efficiently.
Nurp’s algorithmic software cannot guarantee profits. All trading carries market/tech risks. Default stop losses are on for each algorithm which users can adjust if they prefer.
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 licenses trading algorithms only & does not give investment advice or manage funds. Customers trade through their own connected accounts using our software designed for automated operation.
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.
Nurp offers verified performance through MyFXBook, updated daily with real-time data like actual max drawdown. Our transparent third-party tracking shows exact algorithm results before you subscribe.
1. Use of AI in trading involves certain risks, including hallucinations. Nurp’s algorithms are also subject to technology and software risks, such as failure to timely execute the trades. For more information on the risks involving Nurp’s algorithmic trading software, please see Nurp’s Disclosures page.
2. Uncorrelated strategies and diversification may not reduce the entire risk of loss. Risk mitigation will not reduce all forms of risk. Use of AI in trading involves certain risks, including hallucinations. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page.
3. Risk mitigation will not reduce all forms of risk. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page. There is no guarantee that the algorithmic trading software will work as intended.
4. Nurp charges a monthly licensing fee pursuant to the agreements.
5. Nurp’s algorithms are subject to technology and software risks, such as failure to timely execute the trades. Uncorrelated strategies and diversification may not reduce the entire risk of loss. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page. Nurp does not make any guarantees with respect to the performance of the algorithmic trading software.
6. Past performance is not indicative of future results, and Nurp does not make any guarantee of profits. Using algorithmic trading software may result in the entire loss of your investment. For more info, please see Nurp’s Disclosures page.
7. Customers must always be aware that trading always carries risk. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page.
8. Nurp’s algorithms are subject to technology and software risks, such as failure to timely execute the trades. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page.
9. Risk mitigation will not reduce all forms of risk. For more information on risks relating to Nurp’s algorithmic trading software, please see Nurp’s Disclosures page.
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.
