363 search results for "quantmod"

chart with individual signals

April 12, 2014
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chart with individual signals

Also I'm not to much into Technical Indicators and Chart-Analysis during system development it is sometimes handy to visualize your buy and selllimits in a chart.The quantmod package provides a nice charting environment and you can select from a bunch ...

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Using R to model the classic 60/40 investing rule

April 9, 2014
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Using R to model the classic 60/40 investing rule

Image by Timothy Poulton   A long-standing paradigm among savers and investors is to favor a mixture of 40% bonds and 60% equities. The simple rationale is that stocks will provide greater returns while bonds will serve as a diversifier when if equities fall. If you are saving for your pension, you probably heard this

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Quality of Historical Stock Prices from Yahoo Finance

April 7, 2014
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Quality of Historical Stock Prices from Yahoo Finance

I recently looked at the strategy that invests in the components of S&P/TSX 60 index, and discovered that there are some abnormal jumps/drops in historical data that I could not explain. To help me spot these points and remove them, I created a helper function data.clean() function in data.r at github. Following is an example

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Probabilistic Momentum with Intraday data

March 30, 2014
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Probabilistic Momentum with Intraday data

I want to follow up the Intraday data post with testing the Probabilistic Momentum strategy on Intraday data. I will use Intraday data for SPY and GLD from the Bonnot Gang to test the strategy. Next, let’s examine the hourly perfromance of the strategy. There are lots of abnormal returns in the 9:30-10:00am box due

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Capturing Intraday data

March 10, 2014
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Capturing Intraday data

I want to follow up the Intraday data post with an example of how you can capture Intraday data without too much effort by recording 1 minute snapshots of the market. I will take market snapshots from Yahoo Finance using following function that downloads delayed market quotes with date and time stamps: Next we can

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Intraday data

March 9, 2014
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Intraday data

In the Intraday Backtest post I showed an example of loading and working with Forex Intraday data from the FXHISTORICALDATA.COM. Recently, I came across another interesting source of Intraday data at the Bonnot Gang site. Please note that you will have to register to get access to the Intraday data; the registration is free. Today,

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Quantitative Finance Applications in R – 4: Using the Generalized Lambda Distribution to Simulate Market Returns

February 25, 2014
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Quantitative Finance Applications in R – 4:  Using the Generalized Lambda Distribution to Simulate Market Returns

by Daniel Hanson, QA Data Scientist, Revolution Analytics Introduction As most readers are well aware, market return data tends to have heavier tails than that which can be captured by a normal distribution; furthermore, skewness will not be captured either. For this reason, a four parameter distribution such as the Generalized Lambda Distribution (GLD) can give us a more...

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Probabilistic Momentum

February 16, 2014
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Probabilistic Momentum

David Varadi has recently discussed an interesting strategy in the Are Simple Momentum Strategies Too Dumb? Introducing Probabilistic Momentum post. David also provided the Probabilistic Momentum Spreadsheet if you are interested in doing computations in Excel. Today I want to show how you can test such strategy using the Systematic Investor Toolbox: The Simple Momentum

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Quantitative Finance Applications in R – 3: Plotting xts Time Series

January 28, 2014
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Quantitative Finance Applications in R – 3: Plotting xts Time Series

by Daniel Hanson, QA Data Scientist, Revolution Analytics Introduction and Data Setup Last time, we included a couple of examples of plotting a single xts time series using the plot(.) function (ie, said function included in the xts package). Today, we’ll look at some quick and easy methods for plotting overlays of multiple xts time series in a single...

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Overnight vs. Intraday ETF Returns

January 25, 2014
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I haven’t done much “googling” before posting, so this topic might have been covered elsewhere but I think it’s  really worth sharing or repeating anyway. A lot has been written about the source of  ETF returns (some insights might be found here). In a nutshell some analysis found that the bulk of the return is made

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