The information is shown below for the 20 daysto make the Si

The information is shown below for the 20 daysto make the Simple Moving Average Filters. Use the first 5 days for the short-term filter and all the days for the long-term filter. Be careful not to make any careless mistakes as it is very easy to go wrong in taking down the values.

Date - Closing Price

01/07/14 - 32.8400

02/07/14 - 33.3900

03/07/14 - 33.6400

04/07/14 - 33.7800

07/07/14 - 33.8700

08/07/14 - 33.5900

09/07/14 - 33.1800

10/07/14 - 33.1600

11/07/14 - 33.3500

14/07/14 - 33.5400

15/07/14 - 33.2300

16/07/14 - 33.1500

17/07/14 - 33.2100

18/07/14 - 33.4200

21/07/14 - 33.3900

22/07/14 - 33.3700

23/07/14 - 33.5000

24/07/14 - 33.5800

25/07/14 - 33.7500

28/07/14 - 33.5200

In MATLAB create a short-term SMA filter (-5 days) and a longer-term SMA filter 20 days) and apply these to the closing prices of your stocks (use MATLAB filter function to do this). Plot the outputs in MATLAB

Solution

MATLAB code is

function [P] = filter123(A)
[x]=textread(\'filterdata.txt\',\'%s\');
j=1;
k=1;
for i=1:A
    p(j)=x(k,1);
    q(j)=x(k+2,1);
    k=k+3;
    j=j+1;
end
plot(p,q)
end

The information is shown below for the 20 daysto make the Simple Moving Average Filters. Use the first 5 days for the short-term filter and all the days for the
The information is shown below for the 20 daysto make the Simple Moving Average Filters. Use the first 5 days for the short-term filter and all the days for the

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