Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.12620
Cited By
v1
v2 (latest)
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
AAAI Conference on Artificial Intelligence (AAAI), 2020
23 December 2020
Rongpin Wang
Jianguo Huang
Bo An
Zhouyan Feng
Jun Yao
AIFin
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution"
17 / 17 papers shown
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
Jiayi Chen
Jing Li
Guiling Wang
AIFin
368
1
0
02 Aug 2025
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Runsheng Lin
Zihan Xing
Mingze Ma
Raymond S.T. Lee
336
3
0
15 Jan 2025
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
Tian Ding
Yue Xi
Angelos Stefanidis
Zhengyong Jiang
Jionglong Su
227
10
0
12 Jan 2025
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management
Proceedings of the VLDB Endowment (PVLDB), 2024
Liwei Deng
Tianfu Wang
Yan Zhao
Kai Zheng
256
6
0
04 Dec 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
ACM Computing Surveys (ACM CSUR), 2024
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
683
21
0
20 Aug 2024
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu
Zhiyuan Yao
Haohang Li
Zhiyang Deng
Yun Feng
...
Guojun Xiong
Yueru He
Jimin Huang
Dong Li
Qianqian Xie
AIFin
LLMAG
417
117
0
09 Jul 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
Chuqiao Zong
Chaojie Wang
Molei Qin
Lei Feng
Xinrun Wang
Bo An
AIFin
292
9
0
20 Jun 2024
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Wentao Zhang
Lingxuan Zhao
Haochong Xia
Shuo Sun
Jiaze Sun
...
Yilei Zhao
Xinyu Cai
Longtao Zheng
Xinrun Wang
Rui Hu
AIFin
614
142
0
28 Feb 2024
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
Wentao Zhang
Yilei Zhao
Shuo Sun
Jie Ying
Yonggang Xie
Zitao Song
Xinrun Wang
Rui Hu
AIFin
OOD
547
18
0
17 Nov 2023
Cryptocurrency Portfolio Optimization by Neural Networks
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Quoc Minh Nguyen
D. Tran
Juho Kanniainen
Alexandros Iosifidis
Moncef Gabbouj
234
1
0
02 Oct 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Knowledge Discovery and Data Mining (KDD), 2023
Yuchen Fang
Zhen-Yu Tang
Kan Ren
Yuante Li
Li Zhao
Jiang Bian
Dongsheng Li
Weinan Zhang
Yong Yu
Tie-Yan Liu
216
14
0
06 Jul 2023
Market Making with Deep Reinforcement Learning from Limit Order Books
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Hongli Guo
Jianwu Lin
Fanlin Huang
OffRL
330
3
0
25 May 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun
Molei Qin
Xinrun Wang
Bo An
FaML
OffRL
AIFin
446
10
0
14 Jan 2023
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
IEEE Transactions on Big Data (TBD), 2022
Xiaodong Li
Pangjing Wu
Chenxin Zou
Qing Li
241
5
0
11 Dec 2022
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
International Conference on Information and Knowledge Management (CIKM), 2022
Hui Niu
Siyuan Li
Jian Li
AIFin
321
49
0
01 Sep 2022
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
406
35
0
15 Dec 2021
Reinforcement Learning for Quantitative Trading
Shuo Sun
Rongpin Wang
Bo An
OffRL
AIFin
324
82
0
28 Sep 2021
1
Page 1 of 1
