Analytics & Chill - Time series Analysis app

🎬 Contains code and documents related to the project of the Analytics & Chill initiative

Analytics & Chill

This ongoing project was created by a few students of the Master in Business Analytics and the Master in Statistics at the University of Geneva, we seek to create a forum for the exchange of knowledge and the development of skills in the fields of statistics and data science, all in a fun environment. We plan to organize our work through discussions and coding sessions to produce projects and develop new skills.

Project: Time series Analysis app

Development of an R-Shiny application that:

Retrieves the financial data
Automates some basic analysis
Allows us to the compare forecasting methods by using the price of the asset

Prerequisites

Install and load listed packages

library(shiny)
library(quantmod)
library(ggplot2)
library(shinyTime)
library(tseries)
library(dsa)
library(forecast)
library(ggfortify)
library(smooth)
library(Mcomp)
library(rugarch)
library(tidyRSS)
library(tidyquant)
source("ma_function.R")
source("ra_functions.R")
source("armagarch_functions.R")
source("news_functions.R")

Built with

Shiny https://shiny.rstudio.com
ggplot https://ggplot2.tidyverse.org/index.html
forecast https://otexts.com/fpp2/

CSS format from https://bootswatch.com/

Authors