Skip to content

Latest commit

 

History

History
52 lines (40 loc) · 1.5 KB

README.md

File metadata and controls

52 lines (40 loc) · 1.5 KB

Project Overview

Stock Tracker is an interactive data visualization application developed in Python, with the help of Dash , yfinance and Pandas

Features

It uses yfinance to get intraday trading data of any NASDAQ listed company.
It takes the ticker symbol of that company as input and price fluctuations till current date are plotted on an interactive graph provided by plot.ly. Other than displaying current price, open price, high, low and volume of that stock, it also calculates percentage change of price in the last one-day interval.
The interface is created using Litera, a bootstrap theme from Bootswatch.

Demo & Screenshot


Techstack

  • Python
  • Dash
  • Plot.ly
  • Docker
  • yfinance

Setup

Pre-requisites

Install docker and docker-compose.

Steps

  1. Change directory to docker.
cd docker
  1. Build docker service stock-tracker using docker compose.
docker-compose build
  1. Start docker service
docker-compose up
  1. Visit localhost:8050 in your web browser.

License

MIT