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Wintermute to invest $1 billion in AI expansion beyond crypto

Quant trading firm plans to shift majority of revenue to non-crypto markets by 2027 as part of strategic diversification into AI-driven trading.

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Priya Anand · Equities & Earnings Desk · 16 Aug 2026 · 1 min read
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Wintermute to invest $1 billion in AI expansion beyond crypto

Quantitative trading firm Wintermute plans to invest $1 billion in an artificial intelligence expansion aimed at diversifying beyond cryptocurrency markets, according to a report citing unnamed sources familiar with the matter.

The firm targets non-crypto revenue to exceed 50% of total by 2027, up from the current 10%, as it seeks to reduce exposure to volatile digital asset markets. The initiative will focus on deploying AI models for algorithmic trading across traditional financial instruments, including equities, foreign exchange and fixed income.

Wintermute, known for its high-frequency trading operations in crypto markets, has not publicly detailed the AI expansion plans. The firm’s existing infrastructure in digital assets will serve as a foundation for the broader push into AI-driven trading strategies, the sources said.

The move reflects a broader industry trend where quantitative trading firms are leveraging AI to enhance predictive analytics and execution efficiency. Wintermute’s shift aligns with efforts by peers to diversify revenue streams amid regulatory scrutiny and market volatility in cryptocurrencies.

The $1 billion investment will be allocated over multiple years, with a portion earmarked for hiring AI specialists and developing proprietary trading models. No timeline for the full rollout has been disclosed, and Wintermute declined to comment on the reported plans.

This article was produced with AI assistance and edited by a Finance Review Daily journalist.
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Written by
Priya Anand
Equities & Earnings Desk

Priya covers listed equities and corporate earnings, reading quarterly results and guidance for what they signal about sector health and forward valuations.

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