Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets

Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi

This study proposes a new generative adversarial network (GAN) for generating realistic orders in financial markets. In some previous works, GANs for financial markets generated fa…