Quantum Reinforcement Learning for High Frequency Trading
Alexander Kirnasov, Russian Federation
Abstract
We introduce a new approach of Reinforcement Learning Application for High Frequency Trading called Quantum Reinforcement Learning as our agent learns to react on ‘quantum’ individual events in Limit Order Book – single Limit Order Book updates and singletrade (andoptionally single Order sifprovided by Exchange). Weclaim that such level of learning granularity allow souragent to find optimal trading strategies by on-line modeling of Market Microstructure with a maximum rate and precision.
Keywords
Deep Reinforcement Learning, High Frequency Trading
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