Authors - Rutuj Barudwale, Vijeyandra Shahu Abstract - This article focuses on attempting artificial intelligence in stock price forecasting. Common stock market predictions and their prices can be assessed using dual primary analytical models known as technical and fundamental analysis. I employed a technical analysis of price trends predicting price movements using regression machine learning (ML). For instance, predicting how the price of a particular stock will close at the end of today based on historical price trends. In contrast to this approach of technical analysis, fundamental analysis can be applied to supervised machine learning algorithms to assist with identifying how news and social network users appear to be for or against certain entities. In the technical analysis, the historical price trends are retrieved from Yahoo, and in the fundamental analysis, the stock market tweets are analyzed to assess how the public feels about the stock prices. The findings portray an average performance; therefore, given the present environment of - technology, it is rather optimistic to presume that technology will ever beat the stock market consistently.
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