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Title: GitHub - pseudoBit/TradeMaster: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :zap: :rainbow: · GitHub

Open Graph Title: GitHub - pseudoBit/TradeMaster: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :zap: :rainbow:

X Title: GitHub - pseudoBit/TradeMaster: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :zap: :rainbow:

Description: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: - GitHub - pseudoBit/TradeMaster: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :zap: :rainbow:

Open Graph Description: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: - pseudoBit/TradeMaster

X Description: TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: - pseudoBit/TradeMaster

Opengraph URL: https://github.com/pseudoBit/TradeMaster

X: @github

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Domain: github.com

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https://www.python.org/downloads/release/python-3916/
https://github.com/pseudoBit/TradeMaster/blob/1.0.0/Platform
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https://trademaster.readthedocs.io/en/latest/
https://github.com/pseudoBit/TradeMaster#star-whats-new---alarm_clock
Released v1.0.0https://github.com/TradeMaster-NTU/TradeMaster/releases/tag/v1.0.0
https://github.com/pseudoBit/TradeMaster#outline
TradeMaster: An RL Platform for Tradinghttps://github.com/pseudoBit/TradeMaster#trademaster-an-rl-platform-for-trading
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https://github.com/TradeMaster-NTU/TradeMaster/blob/1.0.0/figure/architecture.jpg
https://github.com/pseudoBit/TradeMaster#installation
Installation on Linux/Windows/MacOShttps://github.com/TradeMaster-NTU/TradeMaster/tree/1.0.0/installation/requirements.md
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https://github.com/pseudoBit/TradeMaster#model-zoo
DeepScalper based on Pytorch (Shuo Sun et al, CIKM 22)https://arxiv.org/abs/2201.09058
OPD based on Pytorch (Fang et al, AAAI 21)https://ojs.aaai.org/index.php/AAAI/article/view/16083
DeepTrader based on Pytorch (Wang et al, AAAI 21)https://ojs.aaai.org/index.php/AAAI/article/view/16144
SARL based on Pytorch (Yunan Ye et al, AAAI 20)https://arxiv.org/abs/2002.05780
ETTO based on Pytorch (Lin et al, 20)https://www.ijcai.org/Proceedings/2020/627?msclkid=a2b6ad5db7ca11ecb537627a9ca1d4f6
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https://github.com/pseudoBit/TradeMaster#publications
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Marketshttps://openreview.net/forum?id=JjbsIYOuNi
Reinforcement Learning for Quantitative Trading (Survey)https://dl.acm.org/doi/10.1145/3582560
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunitieshttps://ieeexplore.ieee.org/abstract/document/9779600
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunitieshttps://arxiv.org/abs/2201.09058
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Managementhttps://ojs.aaai.org/index.php/AAAI/article/view/16142
https://github.com/pseudoBit/TradeMaster#file-structure
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AMIhttps://personal.ntu.edu.sg/boan/
Prof Bo Anhttps://github.com/pseudoBit/TradeMaster/blob/1.0.0/boan@ntu.edu.sg
Nanyang Technological Universityhttps://www.ntu.edu.sg/
https://github.com/pseudoBit/TradeMaster#competition
TradeMaster Cup 2022https://codalab.lisn.upsaclay.fr/competitions/8440?secret_key=51d5952f-d68d-47d9-baef-6032445dea01
https://github.com/pseudoBit/TradeMaster#contact-us
TradeMaster.NTU@gmail.comhttps://github.com/pseudoBit/TradeMaster/blob/1.0.0/TradeMaster.NTU@gmail.com
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