Stock Market Analysis using Data Visualization
Bharat Gupta1, Shefali Bhardwaj2, K. Govinda3, Rajkumar. R4
1Bharat Gupta, SCOPE, VIT, Vellore, India.
2Shefali Bhardwaj, SENSE, VIT, Vellore, India.
3K. Govinda, SCOPE, VIT, Vellore, India.
4Rajkumar.R, SCOPE, VIT, Vellore, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2629-2633 | Volume-8 Issue-6, March 2020. | Retrieval Number: C4193098319/2020©BEIESP | DOI: 10.35940/ijrte.C4193.038620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Correlation, Monte Carlo, Probability, GBM, Normal.
Scope of the Article: Predictive Analysis.