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Stocks focused project using: web-scaping, ETL pipeline, machine learning, data analysis, flask webapp, algorithmic trading

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Stock Analysis Project

Description:

  • Stock Analysis Project Consisting of Multiple Components
    • Web Scraper
    • ETL Pipeline
    • Machine Learning
    • Processing and Analytics
    • Natural Language Processing (Sentiment Analysis)
    • Microsoft Azure SQL Database
    • Web App Dashboard
    • Trading Algorithm
  • Aims to take and display a variety of factors about stocks, analyse them, then use them to make a profitable trading algorithm

Contributors:

  • Harrison Crowe-Maxwell
  • Kyle Todd
  • Anesu Chakaingesu

Analytics Site (Currently Demo Version Only):

Installation and Setup:

  • TBA

How to Use:

  • TBA

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Stocks focused project using: web-scaping, ETL pipeline, machine learning, data analysis, flask webapp, algorithmic trading

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