July has been anything but the quiet summer lull many expected. Sharp policy pivots, headline-driven spikes in energy and metals, and the ever-present crypto whipsaw have re-drawn the playing field. In this month’s newsletter we will:
June rewarded foresight; July is demanding it. At Nurp, our algorithms are engineered to read the tape before it writes itself. Preliminary figures show Gold Digger stretching its lead with 61.82% YTD gains*, while Argos has compounded to a 28.07 % year-to-date gain. Whether you trade with us or simply track the signals, we hope this edition equips you to convert the month’s volatility into opportunity.
Key events impacting markets
Gold – Holding firm despite dollar pressure
Gold has been range-bound in July, hovering between $3,300 and $3,400 per ounce, and most recently pulled back slightly to $3,338. A stronger U.S. dollar and better-than-expected retail sales briefly slowed gold’s climb, but ongoing central-bank demand and tariff uncertainty continue to provide support. Markets are watching the $3,310–$3,315 zone closely ahead of the August 1 tariff deadline. A breakout above $3,450 could reopen the path toward $3,800. Nurp’s Gold Digger algorithm remained net-long through the month, adjusting exposure as momentum cooled to protect July gains.
Crypto – Washington drama overshadows price moves
Bitcoin spent most of the month drifting just below its spring highs, trading between $116,000 and $121,000 (spot at $118,000 on July 19). All eyes were on Capitol Hill as lawmakers advanced the Genius Act, Clarity Act, and Anti-CBDC bill in a marathon voting session. While final approval is still uncertain, the headlines added short-term volatility. Ethereum pushed back above $3,700 for the first time since April, driven by renewed interest in staking. Nurp’s Buterin strategy trimmed exposure during the legislative noise, before rotating into select altcoins as conditions stabilized.
Forex – Dollar strength sets the tone
The U.S. dollar surged to a two-month high, with the DXY closing at 95.6. Strong economic data and expectations of extended Fed tightening pushed the greenback higher, even as Europe leans toward rate cuts and Japan keeps policy loose. The dollar is becoming a safe haven again in this uneven global recovery. Nurp’s Argos algorithm capitalized on the divergence, trading EUR/USD and USD/JPY to lift year-to-date returns to +28.07%—outpacing the S&P 500 more than fivefold.
Across all markets, a stronger dollar, U.S. policy uncertainty, and looming tariffs are shaping sentiment as summer winds down. In Section 3, we’ll break down how these themes are evolving—and how Nurp’s multi-strategy approach is positioned to adapt.
Just as ETFs reshaped investing in the 2000s, tokenization is quietly transforming how real-world assets, or RWAs for short, are issued, traded, and settled. In the last 18 months, blockchain-based versions of U.S. Treasuries, private credit, and even music royalties have gone from small pilots to a market worth over $25 billion, and growing fast.
Signposts worth tracking
Implications for capital markets
Tokenization may still be in early innings, but the foundations are here. Smart contracts are starting to do what bankers and back offices once did manually. Investors who understand both traditional and on-chain systems will be best positioned to capture the new opportunities as capital markets go 24/7 and global by default.
Mid-Year Performance Snapshot
As of July 21, 2025, Nurp’s algorithmic strategies continue to demonstrate the power of machine-led execution across volatile market conditions. Here’s how each public account is performing year-to-date:
Together, these results highlight the strength of Nurp’s diversified strategy stack – built to navigate volatility, preserve capital, and compound consistently.
Explore our offerings
Take control of your financial future with The Intelligent Trader – our flagship automated trading platform that has consistently delivered market-beating returns by using smart technology to trade across multiple markets 24/7, while built-in safety features minimize drawdown to help protect your investment.
Case Study: Algorithms That Deliver in Volatile Markets
See how Argos and Buterin outperformed during recent swings, with fully verified MyFXBook links for transparency. The study details entry logic, risk controls, and live P&L curves.
→ Download our free case study and see all the important insights
Important information and disclosures
This material was prepared by Nurp LLC (“Nurp”) and is for informational purposes only and is not intended as an offer or solicitation for the purchase or sale of a security or other financial products. Any decision to purchase futures, securities or other digital assets mentioned in the material must take into account existing public information on such security or any registered prospectus. Nurp does not provide commodity trading advice based on, or tailored to, the commodity interest or cash market positions or other circumstances or characteristics of particular clients nor does Nurp direct any subscriber accounts. Past performance is not a guarantee or indication of future results. This presentation does not take into account the investment objectives, financial situation, or particular needs of any particular person. Investing in futures, securities and other financial products entails certain risks, including the possible loss of the entire principal amount invested. Certain investments in particular, including those involving structured products, futures, options, digital assets and other derivatives, are complex, may entail substantial risk, and are not suitable for all investors. The price and value of, and income produced by, securities and other financial products may fluctuate and may be adversely impacted by exchange rates, interest rates, or other factors. Certain securities and other digital assets may not be registered with, or subject to the reporting requirements of the U.S. Securities and Exchange Commission or any comparable regulatory authority. Information available on such securities may be limited. Investors should obtain advice from their own tax, financial, legal, and other advisors and only make investment decisions on the basis of the investor’s own objectives, experience, and resources. Nurp has no duty to update this presentation, and the opinions, estimates, and other views expressed in this presentation may change without notice. No liability whatsoever is accepted for any loss (whether direct, indirect, or consequential) that may arise from any use of the information contained in or derived from this presentation. Although information has been obtained from and is based upon sources that Nurp believes to be reliable, we do not guarantee its accuracy and it may be incomplete and condensed. This communication is not intended to forecast or predict future events. Past performance is not a guarantee or indication of future results. All opinions, projections and estimates constitute the judgment of the author as of the date of the presentation and these, plus any other information contained in the Product, are subject to change without notice. Prices and availability of financial instruments also are subject to change without notice. Nurp does not provide tax advice and nothing contained herein is intended to be, or should be construed as, tax advice. Any discussion of US tax matters contained in this presentation was written to support the promotion or marketing of the transactions or other matters addressed herein and is not intended to be used, and must not be used by any recipient, for the purpose of avoiding US federal tax penalties. Recipients of this presentation should seek tax advice based on the recipient’s own particular circumstances from an independent tax adviser.
Explore our offerings
Take control of your financial future with The Intelligent Trader – our flagship automated trading platform that has consistently delivered market-beating returns by using smart technology to trade across multiple markets 24/7, while built-in safety features minimize drawdown to help protect your investment.
Case Study: Algorithms That Deliver in Volatile Markets
See how Argos and Buterin outperformed during recent swings, with fully verified MyFXBook links for transparency. The study details entry logic, risk controls, and live P&L curves.
→ Download our free case study and see all the important insights
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.
