This app is a simple example of using Strealit to create a financial data web app.

Last update: Jan 02, 2023

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Overview

Streamlit Demo: Finance Chart

This app is a simple example of using Streamlit to create a financial data web app. This demo use streamlit, pandas and yfinance modules.

Allows you to select one of the 500 companies that compose the S&P 500 and display a updated chart of adjusted closing prices, as well as add a pair of moving averages.

Requirements

Python3.6 version or superior

How to run this demo

pip install --upgrade streamlit yfinance lxml pandas
streamlit run https://raw.githubusercontent.com/paduel/streamlit_finance_chart/master/app.py

Or play online

You can test the app at https://streamlit-finance-chart.herokuapp.com/

Other financial streamlit demo

You can test another Streamlit demo with financial data at this github repo of my friend Bukosabino.

Owner

Senior Data Scientist and Quant at Imantia Capital. Python evangelist for finance.

GitHub Repository

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