Analyzing Deep Reinforcement Learning Strategies for Enhanced Profit Generation and Risk Mitigation in Algorithm Stock Trading-Reference-Cited by-同舟云学术

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Analyzing Deep Reinforcement Learning Strategies for Enhanced Profit Generation and Risk Mitigation in Algorithm Stock Trading

Published:2023-12-14 Issue: Volume: Page:766-771
ISSN:
Container-title:2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
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Author:

R Prasanna Kumar¹,Venkatraman K¹,Bandaru Sumash Chandra¹,Gorantla Snehitha¹,Gunti Swathi¹,Katragadda Harshith¹,Mandadi Ashish Reddy¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480719/10480720/10480823.pdf?arnumber=10480823

Reference12 articles.

1. Hybrid Deep Reinforcement Learning for Pairs Trading

2. Deep reinforcement learning for portfolio management

3. Structural break-aware pairs trading strategy using deep reinforcement learning

4. Feature Fusion Deep Reinforcement Learning Approach for Stock Trading

5. Mercury: A Deep Reinforcement Learning-Based Investment Portfolio Strategy for Risk-Return Balance

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Financial Zen: Achieving Market Harmony through Reinforcement Learning and Algorithmic Trading;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

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