https://github.com/fdauti/stock_performance

Analyzing Stock Performance with yfinance, bs4, pandas and plotly
https://github.com/fdauti/stock_performance

beautifulsoup bs4 pandas plotly yfinance

Last synced: 7 days ago
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Analyzing Stock Performance with yfinance, bs4, pandas and plotly

• Host: GitHub
• URL: https://github.com/fdauti/stock_performance
• Owner: fdauti
• License: mit
• Created: 2024-08-28T23:16:45.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-28T23:54:41.000Z (5 months ago)
• Last Synced: 2024-11-14T00:35:26.460Z (2 months ago)
• Topics: beautifulsoup, bs4, pandas, plotly, yfinance
• Language: Jupyter Notebook
• Homepage:
• Size: 86.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
### Analyzing Stock Performance with yfinance, pandas and plotly

#### [Stocks: What They Are, Main Types, How They Differ From Bonds]([url](https://www.investopedia.com/terms/s/stock.asp))

#### [yfinance library]([url](https://github.com/ranaroussi/yfinance))  

yfinance is a Python library that provides an easy way to access and download historical market data from Yahoo Finance. It allows users to retrieve data such as stock prices, trading volumes, dividends, and more, for various financial instruments including stocks, indices, and cryptocurrencies. This library is commonly used for financial analysis, algorithmic trading, and other data-driven financial applications.