PREDICTION OF STOCK PRICES USING SVM

Authors

  • M. Srikala Author
  • B. swaroopa Author

Keywords:

CSV file, Term Frequency, Data-Pre-processing, Machine Learning, SVM, Decision Tree, Naïve Bayes, and API.

Abstract

One of the trickiest and most advanced ways to do business is through the stock or share market. The banking 
industry, brokerage firms, and small owners all rely on this body to generate income and allocate risks; it's a very 
intricate model. To help make this unstable business structure a bit more predictable, this presentation suggests 
leveraging open-source libraries and pre-existing algorithms in conjunction with machine learning algorithms to 
forecast the future stock price for exchange.

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Published

2026-02-02