Skip to content

Project with stock detective during COVID-19

Notifications You must be signed in to change notification settings

MinzhiHuang/MountainMadness

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 

Repository files navigation

Team Name:

Stock at there

Team Member:

Jim Lee, mla222@sfu.ca, Yijing Liang, yla507@sfu.ca, Chloe Huang, minzhih@sfu.ca, yanyou zuo, yanyouz@sfu.ca

Brief description:

Our project topic is stock. We have created three different shinny app with. The app has different tab which could allow the user select different desire information for different stock and properties. The app functions include data visluzation, and forecasting. By transforming the data into easy-reading visluzation, our project enabled people gain better insight of stock.

How to run:

This program is provide by R code and R studio, the libraries we applied are: Insure the library is set:

  • shiny: install.packages('shiny')
  • datasets: install.packages('datasets')
  • forecast: install.packages('forecast')
  • tidyquant: install.packages('tidyquant')
  • zoo: install.packages('zoo') #sould be install during tidyquant
  • ggplot2: install.packages('ggplot2')
  • tidyverse: install.packages('tidyverse')
  • dplyr: install.packages('dplyr')
  • cowplot: install.packages('cowplot')

After the Library install, the data will be auto-connect to the finance database. The forecast system will analyze the next possible price of the stock.

About

Project with stock detective during COVID-19

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published