Deep-Reinforcement-Learning-in-Trading

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Refactor the agents to Pytorch, update TA-Gen.py by TA-Gen, restructure main.py

3

Refactor the code in double_dqn.py, dqn.py, and duelling_dqn.py for PyTorch compatibility, integrate ta-lib into TA-Gen.py(for stockstats is not work yet). And restructure main.py for enhanced clarity.

labrinyang

More of a question than an issue: Why is the data only scaled for the indicators and not the ask/bid spread? `np_scaled = min_max_scaler.fit_transform(_stock[['rsi_14', 'cci_14','dx_14','volume']])`

carl0sLOL

Hi Sir, I ran your code for this file, but it offers me an error of : module.__init__() takes at most 2 arguments (3 given), which seems that there is...

chendiva

Questions on minor discrepancies w/ paper

3

This is a great project and I like what has been done here, but I've been going through the code and paper and have some questions. 1. I can't find...

ebagjones

Thanks for your wonderful job and sharing. I ran Main.py, then it showed “File b'./Data\\\\ZTS_data.csv' does not exist”. So I changed the path of line 175 to “Data/ZTS_data.csv”, and this...

alanyuwenche

test_codes for dqn and ddqn

3

hey. wonderful work sir. i have read your report also. you mentioned about dqn and Double DQN. if you don't mind can i also look into those implementation? just want...

parthvadhadiya

No module named 'stockstats'

1

if you miss this ?

chongyang915