Blog Archives

Sector Rotation Back Test Shiny web application

February 18, 2013
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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

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Market Filter Back Test Shiny web application

February 15, 2013
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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

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January Seasonality Shiny web application

February 14, 2013
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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

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Multiple Stocks Plot Shiny web application

February 13, 2013
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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

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Single Stock Plot Shiny web application

February 12, 2013
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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

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Cluster Portfolio Allocation

February 11, 2013
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Cluster Portfolio Allocation

Today, I want to continue with clustering theme and show how the portfolio weights are determined in the Cluster Portfolio Allocation method. One example of the Cluster Portfolio Allocation method is Cluster Risk Parity (Varadi, Kapler, 2012). The Cluster Portfolio Allocation method has 3 steps: Create Clusters Allocate funds within each Cluster Allocate funds across

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Tracking Number of Historical Clusters in DOW 30 and S&P 500

February 4, 2013
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Tracking Number of Historical Clusters in DOW 30 and S&P 500

In the Tracking Number of Historical Clusters post, I looked at how 3 different methods were able to identify clusters across the 10 major asset universe. Today, I want to share the impact of clustering on the larger universe. Below I examined the historical time series of number of clusters in the DOW 30 and

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An Example of Seasonality Analysis

February 3, 2013
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An Example of Seasonality Analysis

Today, I want to demonstrate how easy it is to create a seasonality analysis study and produce a sample summary report. As an example study, I will use S&P Annual Performance After a Big January post by Avondale Asset Management. The first step is to load historical prices and find Big Januaries. All the hard

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Tracking Number of Historical Clusters

January 26, 2013
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Tracking Number of Historical Clusters

In the prior post, Optimal number of clusters, we looked at methods of selecting number of clusters. Today, I want to continue with clustering theme and show historical Number of Clusters time series using these methods. In particular, I will look at the following methods of selecting optimal number of clusters: Minimum number of clusters

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Weekend Reading – S&P 500 Visual History

January 19, 2013
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Weekend Reading – S&P 500 Visual History

Michael Johnston at the ETF Database shared a very interesting post with me over the holidays. The S&P 500 Visual History – is an interactive post that shows the top 10 components in the S&P 500 each year, going back to 1980. On a different note, Judson Bishop contributed a plota.recession() function to add recession

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