Key Takeaways
- Propr CEO Louis Régis says AI trading agents already outperform human traders and could become the majority of users within a year.
- He believes Hyperliquid has brought onchain trading closer to traditional finance in terms of execution quality and liquidity.
- Régis sees AI agents and tokenized real-world assets as the biggest drivers of crypto market growth over the next five years.
Artificial intelligence-powered trading agents are already outperforming human traders in crypto proprietary trading and could become the majority of market participants within the next year, according to Propr founder and CEO Louis Régis.
Speaking to CCN, Régis said the performance gap between humans and algorithms is not driven by better trading strategies but by better discipline.
“Our top trader on the platform right now is a bot, not a human,” he said.
According to Régis, human traders pass Propr’s funded trading challenges at a rate of 13.5%, while algorithmic traders achieve a 15% pass rate. Across the broader prop trading industry, he said human pass rates are typically between 5% and 10%.
“The edge isn’t human versus machine, it’s disciplined versus emotional,” Régis told CCN. “Humans set a stop loss and then negotiate with it under pressure. An algo has no capacity to negotiate. If the risk-to-reward isn’t there, it doesn’t take the trade.”
He added that AI adoption is no longer limited to quantitative hedge funds. Individual traders are increasingly using ChatGPT, Claude, and similar tools to automate existing strategies, while market makers are deploying their own trading agents.
“That breadth is why we have strong conviction that agent trading becomes the majority of our user base within six months to a year,” he said.
Hyperliquid Marks a Turning Point for Onchain Trading
Régis also explained why Propr chose to build its trading infrastructure around Hyperliquid rather than relying exclusively on centralized exchanges.
He believes decentralized trading infrastructure has reached a point where execution quality can compete with traditional financial markets.
“A retail trader can now trade the Nasdaq or the S&P on Hyperliquid or Lighter and get spread and fill quality close to a traditional exchange, which wasn’t true a couple of years ago,” he said.
Rather than committing to a single venue, Propr routes trades wherever execution is most efficient.
“We already hedge across both Hyperliquid and Lighter today. We don’t care about the end venue.”
Looking ahead, Régis expects perpetual futures markets to follow the same path as decentralized exchanges for spot assets.
“I think you’ll see the equivalent of DEX aggregators for perps soon, routing volume the same way swaps already route across AMMs.”
Transparency Is Changing Proprietary Trading
Unlike traditional proprietary trading firms, Propr publishes trading metrics, payouts, and hedged positions through a public transparency dashboard.
According to Régis, the impact has gone beyond simply improving trust.
“What surprised me is that transparency didn’t just build trust, it changed how the business itself gets evaluated,” he argued.
He argued that traders can independently verify payouts, profitability, and open positions rather than relying on the platform’s promises.
“A simple metric is payout to revenue. If payouts run ahead of revenue, the model isn’t sustainable in the medium term, and that’s now something anyone can check for themselves rather than something we assert.”
AI, Tokenization, and Onchain Capital Formation
Looking beyond current markets, Régis believes artificial intelligence, tokenization, and real-world asset price discovery will drive the next wave of crypto adoption.
He argued that AI agents require programmable money because they cannot use traditional banking infrastructure, making blockchain the natural settlement layer for autonomous software.
At the same time, he sees tokenization expanding beyond listed equities into assets that previously lacked continuous price discovery, including private companies such as SpaceX and Anthropic.
Five years from now, however, Régis does not expect Propr to be known primarily as a proprietary trading firm.
“We didn’t build Propr to be an onchain version of a prop firm,” he reiterated. “We built it as a capital formation layer for traders to unlock more opportunities on their favorite platforms.”
He said the company’s long-term strategy is to become embedded directly into trading applications while treating AI agents as primary customers, allowing both humans and autonomous trading systems to access funded capital programmatically.
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The information provided in this article is for informational purposes only. It is not intended to be, nor should it be construed as, financial advice. We do not make any warranties regarding the completeness, reliability, or accuracy of this information. All investments involve risk, and past performance does not guarantee future results. We recommend consulting a financial advisor before making any investment decisions.
Dr. Guneet Kaur is a senior editor at CCN.com and a Science Fellow at Exponential Science. She is a fintech and blockchain expert with extensive experience in digital finance education, blockchain ecosystems, and cryptocurrency markets. She has worked with global media such as Cointelegraph, as well as education and blockchain platforms, to design and lead strategic content and learning initiatives. As an educator and assessor for top-tier executive programs, she bridges real-world fintech trends with academic insight.
Dr. Kaur is also a published researcher and peer reviewer across fintech and data science journals, including Financial Innovation Journal and International Journal of Big Data Intelligence and Applications. Her work spans data-driven analysis, Web3 innovation, and technical content development. With a strong foundation in both industry and academia, she translates complex financial technologies into practical applications, empowering learners, professionals, and institutions across the rapidly evolving digital finance landscape.
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