Add a typecast to fit the type b/w sma and runmean

[hassiweb]

Due to the mismatch of the argument types between sma and runmean, it should be typecasted from Real to Float.

[codecov]

Codecov Report

Merging #25 into master will not change coverage by %.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master      #25   +/-   ##
=======================================
  Coverage   95.40%   95.40%           
=======================================
  Files          11       11           
  Lines         806      806           
=======================================
  Hits          769      769           
  Misses         37       37           

Impacted Files	Coverage Δ
src/ma.jl	97.36% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 34704f2...c69c38a. Read the comment docs.

[coveralls]

Coverage remained the same at 95.409% when pulling c69c38a on hassiweb:fix-type-mismatch into 34704f2 on dysonance:master.

[coveralls]

Coverage remained the same at 95.409% when pulling c69c38a on hassiweb:fix-type-mismatch into 34704f2 on dysonance:master.

[dysonance]

@hassiweb Thanks for contributing and opening the pull request here. I'm not sure I understand what's causing the issue here? Could you provide some context around what the problem is so I can understand? The diff looks okay, I just don't understand why it's necessary to do this conversion for this specific pair of functions vs. the others?

[hassiweb]

@dysonance Thanks for your comment. I faced this issue when I use the sma function with a Real-type array variable. The argument of sma is defined as Real-type, but the argument of runmean used in sma is defined as Float64. Due to this type-mismatch, it failed without casting the variable into Float64.
After I made this PR, actually I found that other functions have the same issue, such as macd. How do you think which is better to change all functions that use runmean or to change runmean itself? Actually, I'm a newbie of Julia. I'm not familiar with the performance in terms of the difference of the variable types.

[dysonance]

@hassiweb This has been addressed as of the latest commits on master. I'm working on pushing out a release as we speak, so I'm going to go ahead and close this now.