Abstract: An order execution server for stock trading includes a data collection unit configured to collect trading data on at least one item, a model generation unit configured to generate a reinforcement learning-based deep learning model including two or more actors which are neural networks that determine an action policy of a reinforcement learning agent and a critic which is a neural network that estimates an action value of the reinforcement learning agent and train the reinforcement learning-based deep learning model to derive an order execution strategy for the at least one item based on the trading data and an order execution unit configured to perform order execution for the at least one item during a current period of time by using order information including the order execution strategy.

Abstract: An order execution server for stock trading includes a data collection unit configured to collect trading data on at least one item, a subsidiary prediction value generation unit configured to generate a subsidiary prediction value by inputting the trading data into a pre-trained first deep learning model based on supervised learning, an order execution strategy deriving unit configured to derive an order execution strategy for the at least one item during a current period of time based on the trading data and the subsidiary prediction value by using a pre-trained second deep learning model based on reinforcement learning; and an order execution instruction unit configured to instruct order execution for the at least one item during the current period of time by using order information including the order execution strategy.