| Autor: |
Kanakam, Ranganath, Ramesh, Dadi, Mohmmad, Sallauddin, Shabana, Prakash, T. Chandra |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 5/24/2022, Vol. 2418 Issue 1, p1-7, 7p |
| Abstrakt: |
Economy of any country is investment in stock market. Stock price can be affected by factors which are running in current world and stock market. One of the most important things is to predict the how stock market will do. In stock market prediction machine learning has significant applications. Accurate stock market predication results are biggest challenge, because financial stock markets are volatile in nature. Forecasting stock market price is one of the most popular research areas for researchers. In this article, we had designed a model to predict the stock price of a particular company by analysing its previous data i.e. previous stock prices. We had analysed around 1300 stock prices of company, find the graph of company and created a model to predict present stock price. In this paper, we discussed about what is stock market prediction, how to predict with machine learning, analysed on some set of data and present results of our analysis. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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