{"id":21555038,"url":"https://github.com/rnuv/bloomberg-data-project","last_synced_at":"2025-07-26T13:38:15.317Z","repository":{"id":118662584,"uuid":"253350361","full_name":"rNuv/bloomberg-data-project","owner":"rNuv","description":"A Data Visualization Project I presented to the local Bloomberg Data Center. 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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.\n\nOn the last tab, there is a correlation coefficient graph with the top 25 S\u0026P500 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. \n\n## Pictures\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/home.png\" width=\"666\" height=\"383\"\u003e  \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n  Home Page\n\u003c/p\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/dash1.png\" width=\"666\" height=\"383\"\u003e  \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n  Time Series\n\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/dash2.png\" width=\"666\" height=\"383\"\u003e  \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n  Financial Metrics\n\u003c/p\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/dash3.png\" width=\"666\" height=\"383\"\u003e  \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n  News\n\u003c/p\u003e\n  \n  \u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/jupyter1.png\" width=\"666\" height=\"383\"\u003e  \n  \u003c/div\u003e\n  \u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/jupyter2.png\" width=\"666\" height=\"383\"\u003e  \n  \u003c/div\u003e\n  \u003cp align=\"center\"\u003e\n  Jupyter Notebook\n\u003c/p\u003e\n  \n  \u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"images/correlation.png\" width=\"666\" height=\"383\"\u003e  \n  \u003c/div\u003e\n  \u003cp align=\"center\"\u003e\n  Correlation Chart\n\u003c/p\u003e\n\n## Technologies\n- ![Flask](https://img.shields.io/badge/flask-%23000.svg?style=for-the-badge\u0026logo=flask\u0026logoColor=white)\n- ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n- ![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge\u0026logo=jupyter\u0026logoColor=white)\n- ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54)\n- [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Web scraping API\n- [Bokeh](https://docs.bokeh.org/en/latest/index.html) - The Visualization API\n\n---\n*Made with \u003c3 by Arnav, circa 2020*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frnuv%2Fbloomberg-data-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frnuv%2Fbloomberg-data-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frnuv%2Fbloomberg-data-project/lists"}