Multiple cryptocurrency platforms are launching AI-powered quantitative trading tools for on-chain finance as regulators review the legal landscape [1].
This shift marks a significant move toward automating complex trading strategies on the blockchain. By integrating artificial intelligence with decentralized networks, these firms aim to provide retail and institutional investors with tools previously reserved for high-frequency trading desks.
Bybit, Mantle Network, and Almanak have partnered to deploy AI-powered quant strategies on a global scale [1]. The collaboration focuses on the Mantle Network to facilitate these automated financial operations. This follows a broader trend of AI integration in the sector, including 3Commas and BitsStrategy, the latter of which launched a free AI trading bot on May 4, 2026 [5].
Institutional interest is also rising. SaintQuant recently launched an institutional-grade AI trading platform, coinciding with Goldman Sachs describing AI as a new defensive trade [3]. These tools are designed to help users enter the fully automated quant trading market more efficiently [5].
However, the rapid deployment of these tools has drawn the attention of U.S. regulators. SEC Chair Paul Atkins said on May 8, 2026, that the commission is reviewing how securities rules apply to on-chain markets and AI-driven finance [2]. The agency is considering whether new rules are necessary to maintain market integrity as AI takes a larger role in executing trades.
This regulatory scrutiny comes as the industry attempts to standardize the use of AI in decentralized finance. The focus remains on whether these automated strategies constitute a new form of security, or if they fall under existing market manipulation and disclosure guidelines [2].
“Bybit, Mantle Network, and Almanak have partnered to deploy AI-powered quant strategies on a global scale.”
The convergence of AI and on-chain quantitative trading represents a transition from manual decentralized finance to algorithmic autonomy. While this lowers the barrier to entry for sophisticated strategies, it creates a regulatory gap. The SEC's focus suggests that the ability of AI to execute trades at scale on-chain may trigger new oversight requirements to prevent systemic volatility or unfair market advantages.
