Abstract
Forecast of financial exchange has been an alluring subject to the stock representatives and the specialists from different fields. Stock value forecast is dependably a dominating objective for each speculator which encourages them to realizing the future costs thinking about the past records. There have been various examinations to foresee the cost of the loads of a specific organization utilizing AI method. In this paper we would utilize straight relapse to foresee the stock cost of the organization.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Cited by
5 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. Comparative analysis of accuracy in prediction of loan sanction using K-Nearest neighbor and decision tree algorithms;AIP Conference Proceedings;2024
2. Optimising Trading Strategies using Linear Regression on Stock Prices;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01
3. Real-Time Future Stock Price Prediction Using Machine Learning Algorithms;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06
4. Stock Price Prediction using Hybrid Approach;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
5. Comparative Analysis of various Machine Learning Algorithms for Stock Price Prediction;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23