Stock market prediction using deep reinforcement learning
AL Awad, SM Elkaffas, MW Fakhr - Applied System Innovation, 2023 - mdpi.com
Stock value prediction and trading, a captivating and complex research domain, continues to
draw heightened attention. Ensuring profitable returns in stock market investments demands …
draw heightened attention. Ensuring profitable returns in stock market investments demands …
A study of forecasting stocks price by using deep Reinforcement Learning
RH Khan, J Miah, MM Rahman… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
Financial investors are so concerned now about the future of the stock market and how the
market will behave next decade because the world economy is now in an alarming condition …
market will behave next decade because the world economy is now in an alarming condition …
Feature extraction and model optimization of deep learning in stock market prediction
This paper delves into leveraging neural networks for equity market forecasting by
amalgamating gated recurrent units (GRUs) with an attention paradigm to refine the …
amalgamating gated recurrent units (GRUs) with an attention paradigm to refine the …
Deep reinforcement learning for stock prediction
J Zhang, Y Lei - scientific programming, 2022 - Wiley Online Library
Investors are frequently concerned with the potential return from changes in a company's
stock price. However, stock price fluctuations are frequently highly nonlinear and …
stock price. However, stock price fluctuations are frequently highly nonlinear and …
Application of deep reinforcement learning for Indian stock trading automation
S Bajpai - arXiv preprint arXiv:2106.16088, 2021 - arxiv.org
In stock trading, feature extraction and trading strategy design are the two important tasks to
achieve long-term benefits using machine learning techniques. Several methods have been …
achieve long-term benefits using machine learning techniques. Several methods have been …
A survey of forex and stock price prediction using deep learning
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable
area of study. Deep learning applications have been proven to yield better accuracy and …
area of study. Deep learning applications have been proven to yield better accuracy and …
An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges
Forecasting the behavior of the stock market is a classic but difficult topic, one that has
attracted the interest of both economists and computer scientists. Over the course of the last …
attracted the interest of both economists and computer scientists. Over the course of the last …
Deep reinforcement learning approach for trading automation in the stock market
T Kabbani, E Duman - IEEE Access, 2022 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable
problems. The automation of profit generation in the stock market is possible using DRL, by …
problems. The automation of profit generation in the stock market is possible using DRL, by …
Practical deep reinforcement learning approach for stock trading
Practical Deep Reinforcement Learning Approach for Stock Trading Page 1 Practical Deep
Reinforcement Learning Approach for Stock Trading Zhuoran Xiong, Xiao-Yang Liu, Shan …
Reinforcement Learning Approach for Stock Trading Zhuoran Xiong, Xiao-Yang Liu, Shan …
Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction
DO Oyewola, SA Akinwunmi… - Knowledge-Based Systems, 2024 - Elsevier
Accurate prediction of stock market trends and movements holds great significance in the
financial industry as it enables investors, traders, and decision-makers to make informed …
financial industry as it enables investors, traders, and decision-makers to make informed …