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MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High
  Frequency Trading

MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading

20 June 2024
Chuqiao Zong
Chaojie Wang
Molei Qin
Lei Feng
Xinrun Wang
Bo An
    AIFin
ArXivPDFHTML

Papers citing "MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading"

13 / 13 papers shown
Title
Towards Generalizable Reinforcement Learning for Trade Execution
Towards Generalizable Reinforcement Learning for Trade Execution
Wei Shen
Yitong Duan
Xiaoyu Chen
Jianyu Chen
Jian Li
L. Zhao
OffRL
27
7
0
12 May 2023
A Novel Deep Reinforcement Learning Based Automated Stock Trading System
  Using Cascaded LSTM Networks
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
Jie Zou
Jiashu Lou
Baohua Wang
Sixue Liu
AIFin
34
29
0
06 Dec 2022
MetaTrader: An Reinforcement Learning Approach Integrating Diverse
  Policies for Portfolio Optimization
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
Hui Niu
Siyuan Li
Jian Li
AIFin
43
31
0
01 Sep 2022
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture
  Fleeting Intraday Trading Opportunities
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun
Wanqi Xue
Rongpin Wang
Xu He
Junlei Zhu
Jian Li
Bo An
42
20
0
15 Dec 2021
Deep Reinforcement Learning for Active High Frequency Trading
Deep Reinforcement Learning for Active High Frequency Trading
Antonio Briola
J. Turiel
Riccardo Marcaccioli
Alvaro Cauderan
T. Aste
AIFin
AI4TS
23
33
0
18 Jan 2021
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for
  Portfolio Optimization and Order Execution
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
Rongpin Wang
Hongxin Wei
Bo An
Zhouyan Feng
Jun Yao
AIFin
28
43
0
23 Dec 2020
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading
  in Quantitative Finance
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Xiao-Yang Liu
Hongyang Yang
Qian Chen
Runjia Zhang
Liuqing Yang
Bowen Xiao
Chris Wang
AIFin
OffRL
32
121
0
19 Nov 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading
An Application of Deep Reinforcement Learning to Algorithmic Trading
Thibaut Théate
D. Ernst
AIFin
26
166
0
07 Apr 2020
Deep Reinforcement Learning for Trading
Deep Reinforcement Learning for Trading
Zihao Zhang
S. Zohren
Stephen J. Roberts
AIFin
28
207
0
22 Nov 2019
Episodic Memory Deep Q-Networks
Episodic Memory Deep Q-Networks
Zichuan Lin
Tianqi Zhao
Guangwen Yang
Lintao Zhang
OffRL
35
85
0
19 May 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
241
18,685
0
20 Jul 2017
Neural Episodic Control
Neural Episodic Control
Alexander Pritzel
Benigno Uria
Sriram Srinivasan
A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRL
BDL
77
344
0
06 Mar 2017
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
67
3,742
0
20 Nov 2015
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