Abstract
The stock market is a type of trading where an investor invests their money in a company’s share. In the stock market, an investor with fast and accurate decisions can make money hand over fist. But the inconsistent nature of the stock market makes the decision critical and investment risky. To sort out it, the researcher has developed an Artificial intelligence and machine learning model with the lowest error percentage to forecast the stock price. The author discusses the importance and benefits of forecasting in the share market. The main aim of this paper is to explore the various technologies used to predict the share market stocks. The report also highlights the factors why prediction is not 100% accurate and whether it is possible or not.
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