Three former DeepMind researchers have established EquiLibre Technologies, an AI startup applying reinforcement learning to stock trading. The startup has recently raised a Series A round and achieved a valuation of $500 million, contributing to quant hedge funds with strong trading performance.
EquiLibre Technologies was founded by three former DeepMind researchers who previously created an AI that excelled at poker. Their expertise in reinforcement learning is now being repurposed for trading in financial markets.
The startup has secured an undisclosed amount in Series A funding, led by Creandum, marking its largest investment to date. EquiLibre's current valuation stands at $500 million, highlighting investor confidence in its potential.
EquiLibre's algorithms are employed in partnership with quant firm Tower Research Capital, trading billions daily across major indices like the S&P 500 and Nasdaq. The AI's strategy with reinforcement learning has reportedly resulted in a flawless record of positive monthly returns since inception.
The potential for AI-driven trading is vast, with automation already prevalent in the finance sector. The founders emphasize their focus on innovation in AI development rather than on traditional financial motivations, which may attract additional interest from venture capitalists in this booming field.
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Three former DeepMind researchers have established EquiLibre Technologies, an AI startup applying reinforcement learning to stock trading. The startup has recently raised a Series A round and achieved a valuation of $500 million, contributing to quant hedge funds with strong trading performance.