Affiliation:
1. Nandha Engineering College, India
Abstract
The stock market is a widely used investment scheme promising high returns, but it has some risks. It is an act to forecast the future value of the stock market. The change in the stock market is explosive, and there are multiple sophisticated financial indicators. Still, the enhancement in technology provides a chance to grow constant fortune from the stock market and so helps experts to detect the most enlightening indicators to produce better predictions. Machine learning algorithms have made a magnificent effect in determining stocks precisely. This paper proposed a multiple regression algorithm for determining the future value of a stock. The first thing that was taken into account is the dataset of the companies Apple and Microsoft. Live historical data has been collected from yahoo finance. The dataset was preprocessed and tuned up for real analysis. Hence, this paper also focused on preprocessing of the raw dataset. After preprocessing the data, some forecasting measures are suggested, such as momentum, volatility, index volatility, and stock.
Reference12 articles.
1. Deepika, S. (2019). Cloud Task Scheduling Based on a Two Stage Strategy using KNN Classifier. International Journal of Latest Engineering Science, 2(6), 33-39.
2. Jain, S. & Kain, M. (2018). Prediction for Stock Marketing Using Machine Learning. International Journal IJRITCC, 6(4).
3. Machine Learning Model for Stock Market Prediction
4. Stock market prediction using machine learning classifiers and social media, news
5. STOCK MARKET PREDICTION USING MACHINE LEARNING METHODS