Predicting stock prices using machine learning is a hot topic today. Here linear regression and Support Vector Regression is used to predict the stock prices. Among them SVR method with Radial Basis Function kernel gave best resluts in stock predicting although SVM method is best suitable for classification not necessarily regression
OHLC (stock open high low and close prices) are the main representing figures of stock exchange. These values are shown in a candlestick graph
