Stock Market Analysis using Data Visualization

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Abstract

Stock market is an important part of the economy of any country. People generally use stocks as an investment and try to get a profit out of them. Investing in the stock market is a huge risk-return. One bad decision can lead to huge losses while one good decision can result in good profit. To make sure that our investment decisions are not bad, one must choose the right stock. In this project we have tried to do the same. We have incorporated the functions to view data like closing prices, highs, lows etc. Using this data one can know the general trend of some stock but how to know whether the stock is risky or not. In this paper, we implemented two algorithms, namely Bootstrap method and Monte Carlo simulation for risk analysis.

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Gupta, B., Bhardwaj, S., … R, Rajkumar. (2020). Stock Market Analysis using Data Visualization. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 2629–2633. https://doi.org/10.35940/ijrte.c4193.038620

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