A FUSION APPROACH AIMED AT FORECASTING OF STOCK PRICE EXCHANGE USING SUPERVISED MACHINE LEARNING ALGORITHM
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 11, Pages 2391-2398
AbstractMachine Learning is used in many data analytics problems to predict the future with more accuracy. The prediction of the trends of stocks and index prices are important issues to market participants. One of the best important factor is Stock market which fascinates the money makers to make the investment so that there is a development of financial growth across the country. Stock exchanging volume incorporates the quantity of parts purchased and sold which is communicating in regular routine i.e, daily basis. In the proposed work, the main objective is to predict the trend of Facebook stock exchange using s and p indexes by using various Machine Learning algorithms. To achieve the results, the suggested work uses a supervised Machine Learning algorithm. At the same time the arcade of Facebook stock is predicted in terms of either positive or negative. The result shows that it is possible to effectively predict the performance of Facebook stock exchanges.
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