Finding monthly Patterns in Stocks

There are some stocks that perform well at a certain time of the year due to the nature of the business. I tried to isolate those stocks. I took BSE as my base and got data for the past 12 years

The graph below is for VOLTAS.BO ( Sum of Returns for the entire month vs Month ) across 12 years

The code for obtaining the above graph can be found here

I then took other exchanges around the world to find patterns in stock prices. I calculated the standard deviation of the monthly returns for each month across the years. The stocks with the lowest standard deviations were the ones which saw equal increase or decrease in returns during that month across years. The code for doing it can be found here

Within the code you can replace the line
dataFile <- br="" nant="" orldtickerlist.csv="" read.csv="" tatistics="" tockdata="" ylearning="">
with your own ticker list. I have a reference to the world ticker list present in my earlier blog post
http://simplyanant.blogspot.in/2015/03/download-all-tickers-for.html

 For BSE I got the following results. You can use the commented ggplot command in the code to plot the graph and see for yourself. There will be a month where the returns follow a pattern

[1] "TURBO.BO"
[1] "KEDIAVA.BO"
[1] "JRIIIL.BO"
[1] "JPPOWER4.BO"
[1] "JOLLYRID.BO"
[1] "JUMBFNL.BO"
[1] "TURBO.BO"
[1] "KEDIAVA.BO"
[1] "JAGSONFI.BO"
[1] "JRIIIL.BO"
[1] "JPPOWER4.BO"
[1] "JOLLYRID.BO"
[1] "JUMBFNL.BO"
[1] "RAJOIL.BO"

Best of luck hunting stock patterns :) Any suggestions are welcome

Obviously the following will give you a hint :)