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3Commas has launched QuantPilot, a new AI-driven crypto trading platform aimed at giving retail traders access to tools more commonly associated with quantitative desks, as competition intensifies among trading software providers seeking to simplify strategy design, market research and execution. The company said the product is now in early access, with a public waiting list open through quantpilot. com, and positioned it as a no-code system that can turn plain-language prompts into backtested and deployable trading strategies.
The Tallinn-founded firm, which has built its business around crypto trading automation, said QuantPilot is designed to handle the full strategy lifecycle through autonomous AI agents. According to the company’s launch materials, the platform combines three pillars: AI Strategies for natural-language strategy creation and backtesting, AI Research for data analysis across on-chain, DeFi, news and coin-level inputs, and a Hyperliquid Terminal for direct execution on the Hyperliquid protocol. 3Commas said the system is meant to narrow what it sees as the long-standing gap between professional quantitative workflows and what ordinary traders can realistically access without coding expertise or dedicated developers.
That pitch goes to the centre of a broader shift now reshaping digital-asset markets. AI is no longer confined to back-office experimentation or institutional pilot projects. Global securities regulators, including IOSCO, have noted that firms are using AI with growing frequency in robo-advice, algorithmic trading, investment research and sentiment analysis. Academic literature is also expanding quickly around AI’s use in crypto markets, reflecting how fast automated decision-making has moved from a niche strategy to a central part of trading infrastructure.
For 3Commas, QuantPilot is also a strategic extension of a business that has long marketed automation to active traders. The company says it was founded in 2017 and supports trading across more than 15 major exchanges, including Binance, Bybit, OKX and Coinbase. It raised $37 million in a Series B round in 2022 led by Target Global with participation from Alameda Research, Jump Crypto and Copper founder Dmitry Tokarev, capital that was earmarked for expanding its automation ecosystem and DeFi trading tools. QuantPilot, in that sense, looks less like a sharp break from the company’s past and more like an attempt to move further up the value chain, from bot execution into AI-assisted research and strategy development.
The timing is significant. Market researchers estimate continued growth in algorithmic trading across digital assets, with one forecast putting global cryptocurrency algorithmic trading revenue at just over $3 billion in 2024 and projecting it to exceed $6.2 billion by 2030. Those figures should be treated cautiously, because private market estimates vary widely, yet the direction is unmistakable: retail traders are being drawn deeper into software-led execution, while platforms race to package increasingly sophisticated tools in consumer-friendly formats.
Still, the promise of “institutional-style” capability for retail users comes with obvious caveats. Backtesting, optimisation and AI-generated strategy design can lower technical barriers, but they do not remove market risk, model risk or the possibility that users misunderstand how a strategy behaves outside historical conditions. IOSCO has warned that AI adoption in capital markets raises questions around governance, oversight, opacity and operational resilience. In crypto, those concerns are magnified by fast-moving prices, fragmented liquidity and the tendency for traders to extrapolate from short periods of strong performance.
3Commas also carries baggage from earlier security lapses that remain relevant whenever the company rolls out new products tied to trading activity. In late 2022, the firm acknowledged that a third party had disclosed API data relating to its users, and later said sample files containing 100,000 customer API keys had been posted by bad actors. The incident damaged trust in a sector where account linkage and automated execution can sharply amplify losses when credentials are compromised. The company has since said it has changed its approach to incident communication and preventative architecture, but the history is likely to stay part of the conversation as it asks traders to adopt more powerful automated tools.
QuantPilot’s early-access model suggests 3Commas is still testing both demand and product-market fit. The company said pricing is still being finalised and that early users will help shape the platform, while a $5,000 lifetime VIP badge is being offered to users who want beta access and community privileges. That structure may appeal to committed crypto traders eager for an edge, but it also narrows the line between product rollout, community-building and monetisation at a time when scrutiny of AI-generated trading tools is likely to rise.
