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earnmore's Introduction

EarnMore

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.7 -c pytorch -c nvidia
git clone https://github.com/microsoft/qlib.git && cd qlib
python setup.py install
cd ..
pip install -r requirements.txt

RUN

1. make scripts
sh tools/pipeline_mask_sac_dj30_example.sh

2. make pipeline
python tools/pipeline.py

3. run pipeline
sh tools/pipeline.sh

References

ElegantRL: https://github.com/AI4Finance-Foundation/ElegantRL

RL-Adventure: https://github.com/higgsfield/RL-Adventure

Qlib: https://github.com/microsoft/qlib

Citing EarnMore

@inproceedings{zhang2024reinforcement,
    title={Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools}, 
    author={Wentao Zhang and Yilei Zhao and Shuo Sun and Jie Ying and Yonggang Xie and Zitao Song and Xinrun Wang and Bo An},
    booktitle={The Web Conference 2024},
    year={2024},
}

earnmore's People

Contributors

dvampire avatar

Stargazers

 avatar  avatar 慕长风 avatar Simon Sefcik avatar Samuel avatar Maybe avatar iElevate avatar  avatar  avatar QuantML avatar Frank avatar  avatar Zhao Yuqing avatar  avatar Anonymous avatar Jinling Wang avatar  avatar  avatar  avatar Molei Qin avatar  avatar Zenan Li avatar G_will avatar  avatar

Watchers

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earnmore's Issues

A quick question

Hi,

I saw you re-publish this repo, is there any different compared to this https://github.com/DVampire/PortfolioManagement

Also, just a quick question, is the idea of Maskable mean that we could input any stocks and it returns a weight vector? Or we still need to train and infer the same stocks with fixed ordering?

Thank you.

i can't find pipeline.py

i can't find pipeline.py evenif i execueted first commend that sh tools/pipeline_mask_sac_dj30_example.sh

i have some problems

Could you please share the training model for the data used in your paper? i want to check actions from agent

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