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A Novel Deep Reinforcement Learning Based Automated Stock Trading System
  Using Cascaded LSTM Networks
v1v2 (latest)

A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks

Expert systems with applications (ESWA), 2022
6 December 2022
Jie Zou
Jiashu Lou
Baohua Wang
Sixue Liu
    AIFin
ArXiv (abs)PDFHTML

Papers citing "A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks"

10 / 10 papers shown
News-Aware Direct Reinforcement Trading for Financial Markets
News-Aware Direct Reinforcement Trading for Financial Markets
Qing-Yu Lan
Zhan-He Wang
Jun-Qian Jiang
Yu-Tong Wang
Yun-Song Piao
AIFin
186
0
0
22 Oct 2025
Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization
Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization
Yulison Herry Chrisnanto
Julian Evan Chrisnanto
111
0
0
13 Aug 2025
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
Devroop Kar
Zimeng Lyu
Sheeraja Rajakrishnan
Hao Zhang
Alex Ororbia
Travis J. Desell
Daniel E. Krutz
AIFinAI4TS
218
0
0
25 Jul 2025
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Faezeh Sarlakifar
Mohammadreza Mohammadzadeh Asl
Sajjad Rezvani Khaledi
Armin Salimi-Badr
AIFin
276
3
0
12 Mar 2025
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
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
210
10
0
12 Jan 2025
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
A. Farid
Jafar Roshanian
Malek Mouhoub
255
4
0
17 Sep 2024
Combining supervised and unsupervised learning methods to predict
  financial market movements
Combining supervised and unsupervised learning methods to predict financial market movements
Gabriel Rodrigues Palma
Mariusz Skoczeñ
Phil Maguire
AIFin
168
1
0
19 Aug 2024
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
QADQN: Quantum Attention Deep Q-Network for Financial Market PredictionInternational Conference on Quantum Computing and Engineering (QCE), 2024
Siddhant Dutta
Nouhaila Innan
Alberto Marchisio
Sadok Ben Yahia
Muhammad Shafique
AIFin
284
22
0
06 Aug 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High
  Frequency Trading
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
Chuqiao Zong
Chaojie Wang
Molei Qin
Lei Feng
Xinrun Wang
Bo An
AIFin
273
8
0
20 Jun 2024
A Hybrid Deep Learning Framework for Stock Price Prediction Considering
  the Investor Sentiment of Online Forum Enhanced by Popularity
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
Huiyu Li
Junhua Hu
119
0
0
17 May 2024
1
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