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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21682

Visualization and Forecasting Stocks using Python

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21682

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GS

Garima Sinha

SD

Swastik Dwivedi

RJ

Ronak Jain

BA

Bhavish Anand

VK

Viraj Kathiria

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Abstract

It is very difficult to predict stock prices because there are no clear forecast rules in the stock market, but it gives the highest returns in the market. Although volatile in nature, stock prices and other statistical factors can be visualized to help interested investors make prudent decisions about which companies to spend their profits on. Developing this simple project idea in Python allows you to create dynamic graphs of financial data for a given company using tabular data provided by the Python library yfinance. In addition, future stock prices can be predicted using the LTSM machine learning algorithm. This project is a great introduction for Python/data science newbies and a good refresher for experts who have already worked with Python/ML.

KEYWORDS

Stock Market Machine Learning Python yfinance Prediction Django LTSM Sklearn Graphs.

Cite This Article

Garima Sinha, Swastik Dwivedi, Ronak Jain, Bhavish Anand, Viraj Kathiria, "Visualization and Forecasting Stocks using Python," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM21682

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Publication Date

6/27/2023

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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