To plot time series data in MATLAB, we can use the built-in plot
function.
Firstly, let us assume that the file aapl.txt
contains time series data for Apple's stock prices. We can load the data into a variable aapl
using the load
command as follows:
main.m25 chars2 lines
Assuming we have similar files msft.txt
, goog.txt
, and amzn.txt
containing time series data for Microsoft, Google, and Amazon's stock prices respectively, we can load those into corresponding variables msft
, goog
, and amzn
in a similar way.
main.m75 chars4 lines
To plot the stock prices of all four companies on the same figure, we can use the hold on
command after the first plot
command. This will prevent MATLAB from clearing the figure every time we call plot
.
main.m57 chars6 lines
After running this code, we should see a figure with four lines - one for each company's stock price data. We can add a legend to make it clear which line corresponds to which company's data:
main.m40 chars2 lines
Whether or not we can observe similarities between the stock price data will depend on the magnitude of the differences between the data. If the differences are small, it may be difficult to observe similarities just by looking at the plot. However, if there are large similarities or differences, those will be easily observable on the plot.
gistlibby LogSnag