EquiLibre Technologies

EquiLibre Technologies, a Prague-based firm, is developing a sophisticated financial platform for algorithmic trading by applying artificial intelligence. The company was established in January 2022 by a team of former researchers and engineers from DeepMind and IBM: Martin Schmid, Rudolf Kadlec, and Matej Moravcik. This founding team possesses a deep background in AI, having previously created DeepStack, the first artificial intelligence to defeat professional human players in no-limit poker. Their academic credentials include PhDs in fields like algorithmic game theory and episodic memory modeling.

The core of EquiLibre's strategy is the application of game theory and reinforcement learning to build advanced algorithms for trading in financial markets, including stocks and cryptocurrencies. This approach involves training an AI system to make profitable buy and sell decisions by rewarding its successful outcomes. The firm’s business model anticipates either deploying its proprietary technology within a new hedge fund or licensing it to large financial institutions and banks. In late 2023, EquiLibre entered into an exclusive agreement to provide its trading algorithms to Tower Research Capital, a prominent New York-based proprietary trading firm.

Since its inception, the company has secured significant financial backing. It announced the completion of what was described as the largest-ever seed round in the Czech Republic. Publicly available data shows a seed round of $4.7 million in August 2022 and subsequent venture funding, bringing its total raised capital to over $11 million. The firm’s advisory board includes distinguished academics and researchers in the field of reinforcement learning and AI from institutions like DeepMind and the University of Alberta.

Keywords: algorithmic trading, artificial intelligence, machine learning, reinforcement learning, game theory, financial technology, fintech, quantitative trading, stock market, cryptocurrency, proprietary trading, DeepMind alumni, hedge fund technology, AI trading, automated trading, financial algorithms, capital markets, investment technology, trading signals