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% A Fast Initial Response Approach to Real-Time Financial Surveillance %
% (C) Michael Pokojovy and Andrews T. Anum (2022) %
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This Matlab package implements the fast initial response approach to real-time financial surveillance
proposed by Michael Pokojovy and Andrews T. Anum (2022) based on the original SPC methodology
developed by by Michael Pokojovy and J. Marcus Jobe (2021). See their recent publication:
Michael Pokojovy & J. Marcus Jobe (2021).
Univariate fast initial response statistical process control with taut strings,
Journal of Applied Statistics, DOI: 10.1080/02664763.2021.1900798
https://www.tandfonline.com/doi/abs/10.1080/02664763.2021.1900798
Data source: https://www.marketwatch.com/investing/stock/fb/download-data
Instructions:
A) Create a folder and download the TS FIR package from
https://github.com/mpokojovy/TS.chart.1D
B) Copy the content of the present package to the same folder. (All Matlab filed and CSV tables from
this package will be contained in FS.stock.example subfolder.)
C) Run main.m from FS.stock.example folder. Adjust settings if necessary.
Copyright: Michael Pokojovy and Andrews T. Anum (2022)
See license for license conditions