Skip to content

atrazeynepbahceci/dqn-for-trading

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

dqn-for-trading

In this model, a deep Q-network is used to create trading strategies. The network is created using TensorFlow, an open source library.

On additional notebooks: Indicators notebook displays how the indicators are created, for better understanding of their purpose. This code also further shows how an indicator may have a delayed effect. Graphs notebook includes the commonly used visulizations for stock market data.