Can I read SVM-Based Stock Price Prediction Study on EtoBox?
SVM-Based Stock Price Prediction Study by Nafees Ahmed is a document available to read on EtoBox.
What is SVM-Based Stock Price Prediction Study about?
- The document is an independent work report by Saahil Madge that uses support vector machines to predict the direction of technology stock prices. - It trains an SVM model on historical daily closing prices for 34 tech stocks from 2007-2014, using stock and sector volatility and momentum as parameters, to predict if future prices will be higher or lower. - It finds the model achieves 55-60% accuracy in long-term predictions but little predictive ability in the short-term, suggesting more data may be nee
- Author
- Nafees Ahmed
- Language
- EN