# money is coin \$ flip

March 7, 2011
By

Well, sorta. More precisely, money is the sum of coin\$flip divided by the number of coin\$flip. But we’ll get to that later. For now, let me introduce you to a new algorithm written in R. This one is another “quote” — simple few lines of code — whose theme you can expand to include something more interesting than what I’m presenting here.

Let’s say you’re having a really bad spell trading and basically have no money left. You have a computer, but you don’t have any spare change to spend on software or data. Well, you’re in luck. R is free, open source software and Yahoo Finance offers free data. Yes the free-ness means that you get delayed quotes, but let’s not quibble about a few minutes. It’s free!

The following lines of code enable you to create a list of stocks that may be of interest to you. I’ve included the venerable Dow 30. You can include the entire S&P 500 or just some select sector ETFs that give you a broad-stroke view of the current day’s market action. In any case, it returns a value that I’ve named ‘money’. This value is a percentage of our list that is trading above yesterday’s close. Yeah, kinda boring, but as I mentioned, it’s a theme for you to play with.

`require("quantmod")bank  <- c("AA","AXP","BA","BAC","CAT","CSCO",           "CVX","DD","DIS","GE","HD","HPQ",                       "IBM","INTC","JNJ","JPM","KFT",                         "KO","MCD","MMM","MRK","MSFT","PFE",                    "PG","T","TRV","UTX","VZ","WMT","XOM")       coin <- getQuote(bank, what=yahooQF(c("Last Trade (Price Only)", "Change")))  random <- function(change){     if ( change > 0 )         return (1)     else         return (0)}coin\$flip <-  mapply(random, coin[,3]) money <- sum(coin\$flip)/length(coin\$flip)*100money`

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

Tags: