Deep Reinforcement Learning Approach Using Customized Technical Indicators for A Pre-emerging Market: A Case Study of Vietnamese Stock Market-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Approach Using Customized Technical Indicators for A Pre-emerging Market: A Case Study of Vietnamese Stock Market

Published:2022-12-20 Issue: Volume: Page:
ISSN:
Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
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Author:

Nguyen Hoang-Thi Nguyen¹,Mac Bao-Ngoc Nguyen¹,Tran Anh-Duy¹,Nguyen Ngoc-Thao¹,Pham Duc-Thinh²

Affiliation:

1. University of Science,Ho Chi Minh City,Vietnam

2. Air Traffic Management Research Institute, Nanyang Technological University,Singapore,Singapore

Publisher

IEEE

Link

Reference20 articles.

1. An analysis of investment strategies and abnormal returns in the vietnam stock market;chin;Journal of Applied Economics and Business Research,2015

2. Asynchronous methods for deep reinforcement learning;mnih;The 33rd International Conference on Machine Learning,2016

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2. Automated Stock Trading using Reinforcement Learning;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

3. Price Trend Forecasting of Cryptocurrency Using Multiple Technical Indicators and SHAP;2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE);2023-06-28