Sector Rotation Back Test Shiny web application

Today, I want to share the Sector Rotation Back Test application (code at GitHub).

This is the last application in the series of examples (I have shared 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports.

The motivation for this series of posts is to show how to translate, with minimal effort, your back-test scripts into live web applications that can either be run from the Shiny server or your personal computer.

Please note that Back Test applications take longer time to update the plots/tables and hence maybe more appropriate to run from your local computer.

For example to run Sector Rotation application from your computer, you first need to install Shiny. And next execute following commands:

library(shiny)
runGitHub('SIT','systematicinvestor', subdir = 'Shiny/sector.rotation')

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Market Filter Back Test Shiny web application

Today, I want to share the Market Filter Back Test application (code at GitHub).

This is the forth application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports.

The motivation for this series of posts is to show how to translate, with minimal effort, your back-test scripts into live web applications that can either be run from the Shiny server or your personal computer.

Please note that Back Test applications take longer time to update the plots/tables and hence maybe more appropriate to run from your local computer.

I will post the next example application on Monday.

Have a good long weekend

January Seasonality Shiny web application

Today, I want to share the January Seasonality application (code at GitHub).

This example is based on the An Example of Seasonality Analysis post.

This is the third application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports.

The motivation for this series of posts is to show how to translate, with minimal effort, your back-test scripts into live web applications that can either be run from the Shiny server or your personal computer.

I will post the fourth example application tomorrow.

Multiple Stocks Plot Shiny web application

Today, I want to share the Multiple Stocks Plot application (code at GitHub).

This is the second application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports.

The motivation for this series of posts is to show how to translate, with minimal effort, your back-test scripts into live web applications that can either be run from the Shiny server or your personal computer.

I will post the third example application tomorrow.

Single Stock Plot Shiny web application

Today, I want to share the Single Stock Plot application (code at GitHub).

This is the first application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports.

The motivation for this series of posts is to show how to translate, with minimal effort, your back-test scripts into live web applications that can either be run from the Shiny server or your personal computer.

I will post the second example application tomorrow.