Abstract: Stock market, a notorious very dynamic place where every unprecedented event makes profit and losses in huge scale. This very project aims to predict the ups and downs in market with intraday or holding shares, providing user with insights as per the last 10 years of data visualized and analyzed for a company. We have used very famous Monte-Carlo method to fit the random nature of market into our simulations which mimics the market randomness for best fit result i.e. closing price prediction of company’s stock in a market day. The visualizations of data are done using python libraries which produces heat maps, bar graphs, continuous graphs for last 10 years of data and helps in proper study of market behavior for particular day under study.
Keywords: Closing Price, Intraday, Market Prediction, Monte-Carlo, Stock Analysis, Stock loss, Share Market, Stock Prediction, Stock Profit.
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DOI:
10.17148/IJARCCE.2020.9518
[1] Mudit Sharma, Rahul Das, Bhwesh Gaur, Priyanka Dodeja, Ankit Bansal, "Stock Market Analysis and Prediction," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.9518
