The machines are winning, and it’s not close.
Louis Régis, founder and CEO of trading platform Propr, says algorithmic traders are now outperforming their human counterparts on his platform — and he expects bots to make up most of the trading population within a year.
The Numbers Behind the Claim
Propr’s top performer isn’t a person. Régis told CCN that algorithmic traders pass the platform’s funded trading challenges at a 15% rate, compared to 13.5% for humans. Both numbers beat the wider prop trading industry, where human pass rates typically fall between 5% and 10%.
But Régis says the gap has nothing to do with smarter strategies. It comes down to discipline. Humans set stop losses, then talk themselves out of honoring them once a trade turns against them. Algorithms don’t negotiate — they just follow the rules, and skip trades entirely when the risk-to-reward math doesn’t work.
He expects that discipline gap to keep widening as more traders lean on AI. It’s no longer just quant funds running bots — everyday traders are now using tools like ChatGPT and Claude to automate strategies they used to run by hand, and market makers are building their own agents too. Régis predicts AI-driven trading will become the majority of Propr’s user base within six months to a year.
Betting on Decentralized Infrastructure
Propr built its trading infrastructure on Hyperliquid rather than sticking to centralized exchanges, a decision Régis says reflects how far decentralized markets have come. He argues retail traders can now get execution quality on platforms like Hyperliquid or Lighter that rivals traditional exchanges — something that wasn’t true even a couple of years ago. Propr doesn’t commit to one venue; it hedges across both Hyperliquid and Lighter, routing trades wherever execution is best. Régis expects perpetual futures to eventually get their own version of DEX aggregators, similar to how token swaps already route across automated market makers.
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Betting on Transparency, Too
Propr publishes its trading metrics, payouts, and hedged positions publicly rather than asking users to take its word for it. Régis says that openness has done more than build trust — it’s changed how outsiders evaluate the business itself, since anyone can check whether payouts are outpacing revenue, a red flag for sustainability that used to be an internal-only metric.
What Comes Next
Régis sees AI agents needing blockchain rails since they can’t open traditional bank accounts, and expects tokenization to spread into private companies — he named SpaceX and Anthropic as examples — that currently lack continuous price discovery. Five years out, he doesn’t expect Propr to look like a typical prop firm at all, but rather a capital access layer built into trading apps, serving human and AI traders alike.
Disclaimer: The information in this article is for general purposes only and does not constitute financial advice. The author’s views are personal and may not reflect the views of chainrant.com. Before making any investment decisions, you should always conduct your own research. chainrant.com/ is not responsible for any financial losses.
