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A script written for the annual CFM 101 Team Competition at the University of Waterloo.

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BleakBubbles/Robo-Advisor-14

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About

This was Team 14 (Max Hua, Allan Li, Zayaan Siddiqui)'s submission to the annual CFM 101 Team Competition at the University of Waterloo, where it achieved 2nd place.

How it works

When given an arbitrary list of stocks, our program performs statistical analyses and picks certain stocks out of the list to form the safest portfolio possible.

Usage

If you're interested in trying out our program, simply go through the following steps:

  1. Download the .ipynb file from our repository
  2. Open the file in your notebook editor of choice
  3. Install the packages in requirements.txt (you can do this by running pip install -r requirements.txt in the terminal with requirements.txt in your root directory)
  4. Assemble a list of stock tickers as a .csv file, just like Tickers_Example.csv in our repository.
  5. Run the .ipynb file, and you should see a file Stocks_Group_14.csv in the same directory as the notebook which has the selected stocks.

About

A script written for the annual CFM 101 Team Competition at the University of Waterloo.

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