Tutorial 6: High Frequency Trading with Double DQN

High Frequency Trading is a fundamental quantitative trading task, where traders actively buy/sell one pre-selected financial periodically in seconds with the consideration of order execution.

HFT_DDQN use a decayed supervised regulator genereated from the real q table based on the future price information and a double q network to optimizer the portfit margine.

In this notebook, we implement the training and testing process of HFTDDQN based on the TradeMaster framework.

Tutorial6_HFT

And this is the script for training and testing.

train.py