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Reseach Article
Stock Market Trend Prediction using Dueling Deep Q-Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 11 |
| Year of Publication: 2022 |
| Authors: N. Vijaya Lakshmi, R. Velumani |
10.5120/ijca2022921914
|
N. Vijaya Lakshmi, R. Velumani . Stock Market Trend Prediction using Dueling Deep Q-Network. International Journal of Computer Applications. 184, 11 ( May 2022), 1-4. DOI=10.5120/ijca2022921914
Abstract
The goal of the project is to develop a new technique to predict the stock trend, Because the stock market is so important to acountry's economic prosperity, anticipating changes in market behavior has become crucial to shareholders stock market is one of the popular ways to earn the passive income, A successful prediction of stocks future price is challenging because it could either give significant profit or significant loss for the investors. Prediction plays a vital role in the investment of stocks, so, we can maximize the profit, if the system takes the right action, there are many works on stock prediction using supervised learning, but they are not accurate, so to maximize the profit, we use dueling deep Q-learning, which helps to select the best action at a best particular state.
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