This Analysis and prediction of stock market trajectory have been a highly incentivized field of interest to researchers and investors alike. The purpose of this study is to forecast the stock prices and sales volume of a domestic and an international company and ultimately shedding light on the comparative predictability of both markets. Using various Exponential Smoothing models, we forecasted selling price for three consecutive days; furthermore, attempts were made using Support Vector Machines to predict stock sales volume. In doing so, we were able to predict the selling price with reasonable accuracy and demonstrated the apparent contrast between the domestic and international stock markets in terms of predictability. This process has been conducted though Oracle's Machine Learning Platform.