Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In this set of exercises we shall explore possibilities for fundamental and technical analysis of stocks offered by the `quantmod` package. If you don’t have the package already installed, install it using the following code:

``` install.packages("quantmod") ```

and load it into the session using the following code:

``` library("quantmod") ```

before proceeding.

Answers to the exercises are available here.

If you have a different solution, feel free to post it.

Exercise 1

Load FB (Facebook) market data from Yahoo and assign it to an xts object `fb.p`.

Exercise 2

Display monthly closing prices of Facebook in 2015.

Exercise 3

Plot weekly returns of FB in 2016.

Exercise 4

Plot a candlestick chart of FB in 2016.

Exercise 5

Plot a line chart of FB in 2016., and add boilinger bands and a Relative Strength index to the chart.

Exercise 6

Get yesterday’s EUR/USD rate.

Exercise 7

Get financial data for FB and display it.

Exercise 8

Calculate the current ratio for FB for years 2013, 2014 and 2015. (Tip: You can calculate the current ratio when you divide current assets with current liabilities from the balance sheet.)

Exercise 9

Based on the last closing price and income statement for 12 months ending on December 31th 2015, Calculate the PE ratio for FB. (Tip: PE stands for Price/Earnings ratio. You calculate it as stock price divided by diluted normalized EPS read from income statement.)

Exercise 10

write a function getROA(symbol, year) which will calculate return on asset for given stock symbol and year. What is the ROI for FB in 2014. (Tip: ROA stands for Return on asset. You calculate it as net income divided by total asset.)