https://github.com/rnuv/bloomberg-data-project

A Data Visualization Project I presented to the local Bloomberg Data Center. It's a Flask/HTML Web Application that presents different financial metrics of a given ticker.
https://github.com/rnuv/bloomberg-data-project

beautifulsoup4 bokeh flask jupyter python3

Last synced: 11 months ago
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A Data Visualization Project I presented to the local Bloomberg Data Center. It's a Flask/HTML Web Application that presents different financial metrics of a given ticker.

• Host: GitHub
• URL: https://github.com/rnuv/bloomberg-data-project
• Owner: rNuv
• Created: 2020-04-05T23:12:36.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-06-15T06:11:46.000Z (about 3 years ago)
• Last Synced: 2025-03-18T03:19:46.272Z (over 1 year ago)
• Topics: beautifulsoup4, bokeh, flask, jupyter, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 66.7 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Bloomberg Data Visualization Project

## Description

In my junior year, the Bloomberg Data center by Princeton was offering some students the opportunity to create a project that involved data visualization. I made a web application with Flask that allows users to type in the ticker symbol of any company they like, and see a time series analysis of the company's share prices. The web app also uses web scraping to collect data from the Yahoo finance page for data points related to the stock, a candlestick chart that shows open, low, high and close prices, and news of that particular company. There is also a Jupyter notebook file, outlining the code used to grab and create the visuals. The visuals were made using Bokeh plots.

On the last tab, there is a correlation coefficient graph with the top 25 S&P500 companies. Being such a volatile market, finding correlation between the price movements of two companies is important to minimize risk in a portfolio, or doubling down on risk for a greater return. 

## Pictures



    





  Home Page





    





  Time Series





    





  Financial Metrics





    





  News



  

  


    

  

  


    

  

  


  Jupyter Notebook



  

  


    

  

  


  Correlation Chart



## Technologies

- ![Flask](https://img.shields.io/badge/flask-%23000.svg?style=for-the-badge&logo=flask&logoColor=white)

- ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)

- ![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&logo=jupyter&logoColor=white)

- ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

- [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Web scraping API

- [Bokeh](https://docs.bokeh.org/en/latest/index.html) - The Visualization API

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*Made with <3 by Arnav, circa 2020*