I just sent quantmod_0.4-5 to CRAN, and TTR_0.23-0 has been there for a couple weeks. I’d like to thank Ivan Popivanov for many useful reports and patches to TTR. He provided patches to add HMA() (Hull MA), ALMA(), and ultimateOscillator() functions. James Toll provided a patch to the volatility() function that uses a zero mean (instead of the sample mean) in close-to-close volatility. The other big change is that moving average functions no longer return objects with column names based on the input object column names.
I pushed quantmod 0.4-4 to CRAN this weekend. It adds a getSymbols.yahooj function to pull stock data from Yahoo Finance Japan, and fixes issues in getOptionChain.yahoo and getSymbols.oanda. Changes to the Yahoo Finance and Oanda websites broke the getOptionChain.yahoo and getSymbols.oanda functions, respectively. I didn’t use getOptionChain.yahoo much, so I’m not certain I restored all the prior functionality. Let me know if there’s something I missed. I’d be glad to add a test case for that, or to add a test you’ve written.
An updated version of quantmod has just been released on CRAN. This is my first submission as the new maintainer. The major change was removing the dependency on the now-archived Defaults package. End-users shouldn’t notice a difference, since I basically copied the necessary functionality from Defaults and added it to quantmod. There are also several bug fixes. A few worth noting are: getSplits adjustOHLC getSymbols (when adjust=TRUE) saveSymbols newTA findValleys
quantmod, TTR, and xts were (not so) recently featured on the Inference for R Blog. Inference for R is a Integrated Development Environment (IDE) designed specifically for R. The post gives an example of how to easily perform advanced financial stock analysis using Inference in Excel. I appreciate how they’re making R more accessible to a general audience, even though I like a command line interface and my preferred development environment is vim.