A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading
Y Huang, X Wan, L Zhang, X Lu - Expert Systems with Applications, 2024 - Elsevier
The financial market, as a complex nonlinear dynamic system frequently influenced by
various factors, such as international investment capital, is very challenging to build trading …
various factors, such as international investment capital, is very challenging to build trading …
Improving algorithmic trading consistency via human alignment and imitation learning
Y Huang, C Zhou, K Cui, X Lu - Expert Systems with Applications, 2024 - Elsevier
Research on algorithmic trading using reinforcement learning has become increasingly
popular in recent years. Although most of the current reinforcement learning methods are …
popular in recent years. Although most of the current reinforcement learning methods are …
Reinforcement Learning for Stock Option Trading
J Garza - 2023 31st Irish Conference on Artificial Intelligence …, 2023 - ieeexplore.ieee.org
This work focuses on reinforcement learning and its importance in trading stock options. It is
based on stock options analysis of the American expiration style, considered more …
based on stock options analysis of the American expiration style, considered more …