Shiny for Python - Portfolio Analytics App

Data Collection

Follow the Get stocks data.ipynb notebook to extract close adjusted price data using the yahoo finance API.

After running the notebook, a file will be saved locally called spy_close_adjusted.parquet. This file has price data of all the S&P 500 components.

Environment set-up

If you are using anaconda, first activate your environment

conda activate envname
pip install -r requirements.txt

1. First App

This first app explains how to create a first version of the app. It's covered in this video tutorial.

You can run it using this command from the terminal.

conda activate envname
shiny run --reload 01-app.py

2. Second app

This app is a more complex version that shows how you can build multiple reactive calculations and easily output results to the user. It's covered in this video tutorial.