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AI architecture ‘a source of financial instability’ – ECB paper

LLMs and Q-learning trading algorithms both amplify market distress, researchers find

High-frequency trading

Artificial intelligence-based algorithmic trading threatens financial stability, new research from the European Central Bank argues.

The paper, published on May 21, discusses how algorithmic agents behave in simulations where they are given the option to hold or redeem their funding shares under various sets of market fundamentals.

The researchers – Kartik Anand, Sophia Kazinnik, Agnese Leonello and Ettore Panetti – examine two types of agents: Q-learning algorithms, which are commonly used in

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