https://github.com/acmutd/htf-research
Comets of Wall Street: Learn how to shine on the stock market by visualizing a stock’s data and metrics in this Python data analysis workshop!
https://github.com/acmutd/htf-research
hacktoberfest
Last synced: 5 months ago
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Comets of Wall Street: Learn how to shine on the stock market by visualizing a stock’s data and metrics in this Python data analysis workshop!
- Host: GitHub
- URL: https://github.com/acmutd/htf-research
- Owner: acmutd
- Created: 2020-10-15T03:23:17.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-10-26T00:33:05.000Z (over 5 years ago)
- Last Synced: 2023-03-11T10:41:48.420Z (over 3 years ago)
- Topics: hacktoberfest
- Language: Jupyter Notebook
- Homepage:
- Size: 18.2 MB
- Stars: 1
- Watchers: 3
- Forks: 36
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Comets of Wall Street: Data Analysis Workshop
_Part of ACM Hacktoberfest 2020_
## Overview
[ACM Hacktoberfest](https://hacktoberfest.acmutd.co) is a one-day event celebrating open source with workshops
and speakers about modern software practices.
### What You'll Learn
In this workshop, participants will be able to pull in data from Yahoo Finance for a stock that's assigned to them, view and analyze that data using Python, and determine if a stock is overvalued based on various metrics. You'll then create an infographic showing the the stock's trends and your determination of whether the stock's overvalued or not.
### Technologies
- Python
- Google Colaboratory
- Python libraries:
- matplotlib
- pandas
- numpy
## Deployment
After your pull request is approved, you'll be able to see the finished product at `acmutd.co/research/infographics/{your stock ticker}`.