Analysis of various approaches for stock market prediction
| Autor: | Rahul, Priyansh Kedia, Monika, Subrat Sarangi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Stock market prediction
business.industry Computer science Deep learning 02 engineering and technology Stock prediction 01 natural sciences Regression Random forest Support vector machine 010104 statistics & probability Naive Bayes classifier 0202 electrical engineering electronic engineering information engineering Econometrics 020201 artificial intelligence & image processing Stock market Artificial intelligence 0101 mathematics business |
| Zdroj: | Journal of Statistics and Management Systems. 23:285-293 |
| ISSN: | 2169-0014 0972-0510 |
| DOI: | 10.1080/09720510.2020.1724627 |
| Popis: | Stock Market Prediction (SMP) is highly complex in nature and its research has been of utmost importance in recent years. People involved in the Stock Market do not invest randomly. They invest bas... |
| Databáze: | OpenAIRE |
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