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This repository hosts a comprehensive Jupyter Notebook tutorial demonstrating how to use the yfinance library to access and analyze financial data from Yahoo Finance. Tailored for both beginners and experienced users, it covers a range of topics from basic data fetching to advanced stock analysis techniques

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YahooFinanceTutorial

Link to Youtube Tutorial for Follow Along: https://youtu.be/x7FCTt-OTEA?si=wlzvt9SQoRKyjyAH

Yahoo Finance Data Analysis with yfinance

This project demonstrates how to use the yfinance package to fetch and analyze financial data from Yahoo Finance. The Jupyter Notebook covers a range of functionalities from basic data fetching to advanced analyses tailored for traders and investors.

Getting Started

To get started with this project, clone this repository and install the required packages using the following commands:

git clone https://github.com/RaghavsScarletSplendour/YahooFinanceTutorial.git
cd YahooFinanceTutorial
jupyter notebook

Features

  • Installation instructions for yfinance
  • Fetching stock data
  • Adjusted prices and interval-based data retrieval
  • Advanced features for comprehensive financial analysis

Usage

Open the Yfinance_tutorial.ipynb Jupyter Notebook in your preferred environment (Jupyter Lab, Jupyter Notebook, or VS Code) to access the tutorial and code snippets.

Contributing

Contributions to improve the project are welcome. Please follow these steps to contribute:

  • Fork the repository
  • Create your feature branch (git checkout -b feature/AmazingFeature)
  • Commit your changes (git commit -am 'Add some AmazingFeature')
  • Push to the branch (git push origin feature/AmazingFeature)
  • Open a pull request

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

About

This repository hosts a comprehensive Jupyter Notebook tutorial demonstrating how to use the yfinance library to access and analyze financial data from Yahoo Finance. Tailored for both beginners and experienced users, it covers a range of topics from basic data fetching to advanced stock analysis techniques

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