A deep reinforcement learning approach to automated stock trading

• Main Author: Wu, Ziang
• Other Authors: Bo An
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/147795
• Institution: Nanyang Technological University

Deep reinforcement learning is recognised as an advantageous solution to automated stock trading. It has the potential of establishing an end-to-end solution that directly generate the target portfolio from market data. But applying it to financial tasks often undergoes an error-pone development pro...