Nurp Trading Algorithms Review: How Multiple Systems Generated 6-Figure Profits in 30 Days

Introduction to Nurp Trading Algorithms and January Performance Results

In this video, I’m going to expose the performance of all the different trading software available for licensing from Nurp over the month of January.

In this video, I’m going to expose the performance of all the different trading software available for licensing from Nurp over the month of January.

For those of you who are new to the channel, I license and document the progress of various trading algorithms from Nurp. However, Nurp also has its own live accounts, allowing me to see their data.

I think it’s time to expose the results for January, and in fact, I’m going to do this for all of their different products.

How Many Trading Algorithms Does Nurp Offer? Overview of Nurp’s Software Suite

If you’re wondering how many software options Nurp provides, they have about 9 to 10 different trading algorithms that you can leverage.

The benefit of having multiple software options is that it allows for diversification.

  • If one software has a bad month, week, or day, the others can potentially compensate for it.
  • Each software uses different trading strategies and may trade different asset classes.

Now, enough rambling—let’s get straight to the charts.

 

January 2025 Performance Breakdown Across All Nurp Trading Algorithms

Here we are on Nurp’s MyFXBook, displaying the equity curves of all the different trading algorithms available for licensing.

Dalio Algorithm Performance Review and Key Metrics

If you’re familiar with Dalio, you know that I have my own account running it. If you haven’t seen my journey yet, click the video above to see how it has performed for me and whether it’s something you’re interested in.

Key Features:

  • It has a hedging mechanism, meaning it can take both long and short positions simultaneously on any given trade.

Dalio Performance

  • Initial Deposit: $50,000 (July 30, 2024)
  • Withdrawn Funds: $10,000
  • Total Gain: 35%
  • Total Profit: $6,717
  • Average Monthly Gain: 4.9%
  • Max Drawdown: 8.39%

January 2025 Performance

  • Monthly Gain: 5.68%
  • Profit: $3,000
  • Max Drawdown: 1.53%
  • Total Trades: 181
  • Profit Factor: 5.0 (For every $1 lost, it made $5 in return)
  • Win Rate: 78%

 

Fed Algorithm January Performance and Trading Results

This was one of Nurp’s most popular trading algorithms.

January 2025 Performance

  • Monthly Gain: 4.16%
  • Profit: $4,180
  • Max Drawdown: 2.3%
  • Withdrawn Funds: $2,000
  • Total Trades: 415
  • Win Rate: 84%
  • Profit Factor: 2.16

 

Fed + Gold Algorithm Results and Diversified Trading Performance

Nurp allows users to combine multiple software solutions on the same account.

January 2025 Performance

  • Monthly Gain: 7.12%
  • Profit: $3,671
  • Max Drawdown: 2.23%
  • Total Trades: 404
  • Win Rate: 87%
  • Profit Factor: 2.68

 

Yellen Algorithm Monthly Performance Review

January 2025 Performance

  • Monthly Gain: 5.1%
  • Profit: $2,666
  • Max Drawdown: 3.26%
  • Withdrawn Funds: $50,000
  • Total Trades: 748
  • Win Rate: 82%
  • Profit Factor: 1.85

 

Dalio + Gold Combination Strategy: Real Account Performance

This is the exact combination I’m running in my own account.

January 2025 Performance

  • Monthly Gain: 7.98%
  • Profit: $485
  • Max Drawdown: 3.12%
  • Total Trades: 279
  • Win Rate: 72%
  • Profit Factor: 1.94

 

Gold Digger Algorithm Highlights: Win Rate and Profit Metrics

With gold hitting new all-time highs, this algorithm has performed incredibly well.

January 2025 Performance

  • Monthly Gain: 2.88%
  • Profit: $996
  • Max Drawdown: 0.92% (Less than 1% drawdown!)
  • Total Trades: 33
  • Profit Factor: (Unreadable—meaning it won 100% of its trades! 🎯)

That’s right, in January, Gold Digger had a 100% win rate!

 

Argos Algorithm Performance: Part of The Intelligent Trader AI Suite

I currently have $100,000 in the Argos algorithm—click the video above to see my journey.

Argos is part of Nurp’s new product suite, known as The Intelligent Trader, which includes:

  • Argos
  • Buterin
  • Odyssey

Unlike most AI-labeled trading software, these actually use AI and machine learning to analyze market cycles and optimize trading decisions based on over 30 strategies.

January 2025 Performance

  • Monthly Gain: 3.92%
  • Profit: $67,125
  • Max Drawdown: 2.78%
  • Total Trades: 811
  • Win Rate: 69%
  • Profit Factor: 1.75

 

Buterin Algorithm Results: High-Volatility Crypto Trading Performance

Unlike the others, Buterin only trades Bitcoin and Ethereum, which means higher volatility.

January 2025 Performance

  • Monthly Gain: 5.86%
  • Profit: $64,929
  • Max Drawdown: 29% (This level of drawdown is typical for crypto!)
  • Total Trades: 105
  • Win Rate: 65%
  • Profit Factor: 1.11

 

Odyssey Algorithm Performance: AI-Driven Low-Drawdown Trading

I haven’t personally funded an Odyssey account yet, but it stands out because:

  1. It maintains higher monthly gains while keeping drawdowns low.
  2. It can be used on U.S. brokers, unlike most other software that requires overseas brokers.

January 2025 Performance

  • Monthly Gain: 56% (Not great this month!)
  • Max Drawdown: 1.74%
  • Total Profit: $15,557

 

Total January Profit Across All Nurp Trading Algorithms

If we add up the profits from all the different software for January 2025, we get:

$166,800 in total profit

 

Final Thoughts on Nurp Algorithm Performance and Diversified Trading Strategies

I just broke down the performance of every major trading software Nurp offers for January 2025.

Some key takeaways:

  • Gold Digger had a 100% win rate in January.
  • Argos, Buterin, and Odyssey are part of The Intelligent Trader suite, using actual AI and machine learning.
  • Diversification across multiple trading algorithms is key to reducing risk and increasing profit potential.

If you found this breakdown valuable, hit the link below, leave a like, comment, and subscribe, and as always—peace.

author avatar
Jeff Sekinger
Jeff Sekinger | Wealth Strategies

Search Posts

Algorithmic Trading Accelerator

Schedule a meeting with us!

Jeff Sekinger

Jeff Sekinger | Wealth Strategies

Latest Posts

The programming languages most widely used for automated and algo trading are Python, C++, Java, C#, and increasingly Rust, with

The three most widely deployed forex automated trading strategies are trend-following systems on major currency pairs, mean-reversion systems on range-bound

The five best algo trading books to read are “Advances in Financial Machine Learning” by Marcos Lopez de Prado, “Algorithmic

Professional headshot of an Asian man in a black suit, white shirt, and light blue tie against a white background.

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.

Portrait of a man with shoulder-length light brown hair and stubble, wearing a white shirt and black blazer against a gray background.
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.