Code Monkey home page Code Monkey logo

stock-investing's Introduction

Stock-Investing

Stock-Investing is a tool to help decide which covered call options might be profitable to open in the short term.

Getting Started

This project is written in Python 3. It requires the numpy, pandas, and beautiful soup 4 libraries. You can use pip to install these libraries if you haven't already.

pip install pandas
pip install beautifulsoup4

It also requires Jupyter. Please see this link for details on getting up and running with Jupyter notebook.

Once Jupyter and all the needed libraries are installed, do the following:

  • run jupyter notebook from the terminal: this would open a tab in your browser for jupyter notebook
  • navigate to Scrape Options Data.ipynb and open it
  • click Run All from the menu and it will extract option and stock pricing for the sample stock tickers in the notebook and provide the results in the last notebook cell
  • you can update the line ticker_list = ... to include the list of ticker symbols that you're interested in and re-run all the cells in the notebook.

stock-investing's People

Contributors

olivianaz avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.