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@samre12
samre12 authored Jan 29, 2018
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Expand Up @@ -17,6 +17,9 @@ For complete details of the dataset, preprocessing, network architecture and imp

To setup a ubuntu virtual machine with all the dependencies to run the code, refer to `assets/vm`.

## Support
Please give a :star: to this repository to support the project :smile:.

## Trading Model
is inspired by [Deep Q-Trading](http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5f/Dtq.pdf) where they solve a simplified trading problem for a single asset. <br>
For each trading unit, only one of the three actions: neutral(1), long(2) and short(3) are allowed and a reward is obtained depending upon the current position of agent. Deep Q-Learning agent is trained to maximize the total accumulated rewards. <br>
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