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Announcing the acquisition of Capitalise.ai, bringing no-code trading automation to Kraken Pro

2 hours ago 2 min read
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Founded in 2015, Capitalise.ai developed a natural-language platform that transforms everyday text into executable trading strategies. Its proprietary language model and big data infrastructure can ingest real-time and historical data across equities, crypto, FX, futures, options and more.

A phased rollout of Capitalise.ai’s functionality within Kraken Pro is expected to begin later this year.

Unlocking the power of natural-language trading

As the Pro platform has evolved, making full use of its advanced features has increasingly required both technical skill and deep trading expertise. Capitalise.ai removes that barrier, enabling clients of all backgrounds to design, test and automate complex strategies using simple, everyday language.

By integrating Capitalise.ai’s technology into Kraken Pro, users will soon be able to automate sophisticated strategies across digital and traditional asset classes without writing a single line of code.

“This acquisition gives Kraken Pro clients a powerful new way to act on ideas in real time: testing, optimizing, and executing bespoke strategies with unprecedented speed and confidence,” said Shannon Kurtas, Kraken Head of Exchange.

“Capitalise.ai’s technology transforms how people interact with financial data, breaking down barriers that have long kept scalable, advanced strategies in the hands of a few. This is a major leap forward in democratizing access to pro-grade trading tools.”

Coming soon: Proven innovation, at Kraken scale

Capitalise.ai technology has been deployed by a number of TradFi brokers and exchanges with compelling results, proving to be one of the most engaging automation tools in the retail and institutional space.

Capitalise.ai’s co-founders – CEO Amir Shiovich and CPO Shahar Rabin – along with key product and engineering talent, will join Kraken and continue to innovate within the Kraken Pro business unit.

Explore Kraken Pro

The post appeared first on Kraken Blog.

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