reestimation frequency historic vol

[Magnus167]

This branch changes how the historic volatility function runs.
Till now, the historic volatility was being calculated on every date in the input dataframe. This is now changed, to allow for a specific frequency (w, m, q, y) of dates when the hist. vol. is being calculated. The lookback period remains unaffected, still calculated in days; with the only change coming to the actual dates for which the calculation is done.

[Magnus167]

In case of a daily reestimation freq., the program still uses pandas.DataFrame.rolling. However, in case of a monthly/weekly/quarterly reestimation freq., python loop is used to drive the calculation. There should be a way to use indexed addressing for the latter; which will dramatically increase execution speed (and readability).

[codecov-commenter]

Codecov Report

Base: 59.23% // Head: 59.47% // Increases project coverage by +0.24% 🎉

Coverage data is based on head (d548ed4) compared to base (e76dd01).
Patch coverage: 56.70% of modified lines in pull request are covered.

❗ Current head d548ed4 differs from pull request most recent head 3fb4e0e. Consider uploading reports for the commit 3fb4e0e to get more accurate results

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Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #595      +/-   ##
===========================================
+ Coverage    59.23%   59.47%   +0.24%     
===========================================
  Files           29       29              
  Lines         3049     3119      +70     
===========================================
+ Hits          1806     1855      +49     
- Misses        1243     1264      +21     

Impacted Files	Coverage Δ
macrosynergy/download/dataquery.py	32.87% <0.00%> (+0.11%)	⬆️
macrosynergy/panel/view_timelines.py	10.95% <0.00%> (-2.84%)	⬇️
macrosynergy/pnl/naive_pnl.py	55.21% <0.00%> (-0.87%)	⬇️
macrosynergy/panel/historic_vol.py	95.45% <93.22%> (+0.85%)	⬆️

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