Predicting Stock Market Using Machine Learning Algorithms
Keywords:
Stock Market, Machine Learning AlgorithmAbstract
Predicting how the stock market will move could be useful as a way for short-term investors to get early advice and as a way for long-term shareholders to get early warning of financial trouble. The most crucial consideration when choosing a forecasting approach is predicting accuracy. Since the past ten years, more research has been done to increase the forecasting models' accuracy. It can be very challenging to choose the right stocks that are ideal for investment. The primary objective of any investor should be to maximise returns. The goal of stock market forecasting is to estimate how stock prices on a given exchange will fluctuate in the future. If it were possible to accurately forecast the direction of stock prices, investors would be able to earn more. This research uses machine learning to greatly reduce the uncertainty of future trend predictions. We will improve the accuracy of stock market predictions by using the boosting models found in machine learning algorithms.
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