Implement padding=true option on all consumption algorithms

[milktrader]

This package currently chops off and throws away time values where an algorithm consumes values. The padding=true option will allow users to preserve consumed dates and will use NaN as a placeholder.

[iblislin]

I guess that we can craft a macro to achieve this? like the decorator in Python.

[iblislin]

@milktrader
I'm working on this issue.
I was wondering to known what is the main reason not to use moving(ta, mean, n) in SMA?[1]

1.https://github.com/JuliaQuant/MarketTechnicals.jl/blame/master/src/movingaverages.jl#L5-L10

[iblislin]

@milktrader please check out #90 !

[milktrader]

I think NaN sentinels as placeholders for consumed values is fine with all the shifting that happens with technical analysis. I wanted TimeSeries to be more pure about it, but here it works for me.

[iblislin]

I wanted TimeSeries to be more pure about it, but here it works for me.

sry, I do not understand your meaning...

[milktrader]

I feel it's better for packages other than TimeSeries to make the call about making padding=true the default. TimeSeries does not do this by default.