Jacob Amos

@cuihantao Thanks for proposing these changes! Threading is definitely something that has been on the to-do list for a while. The only thing that makes me a little curious is...

@flare9x Thanks for the idea and for the good head start here. I'm familiar with some of John Ehlers's ideas — I implemented the MESA Adaptive Moving Average way back...

@flare9x Absolutely! Any effort you can give is welcome with open arms. Feel free to fork the repo and open a pull request with any improvements or additions if that...

@Sinansi Thanks for raising this, I appreciate the detailed question. Some of the difference may come from having different default conventions for computing the moving average for the relative strength....

Hey @Roh-codeur, thanks for bringing this forward. I definitely want to make sure the code is efficient as possible, so I appreciate you pointing out a potential improvement that could...

Hi Francis, Thanks so much for catching that and for the solution! I'll get that implemented soon. I have been working on an R implementation lately, but will be redirecting...

Hi Francis, sorry about the delay in getting back to you, I hadn't realized you had commented. That is some really cool work. I am definitely interested in this kind...

@femtotrader I don't necessarily disagree with you on this point from a best practices standpoint. The reason I originally undertook the effort to do all this was really that Temporal...

@femtotrader How are you running tests? I'm not seeing this warning on Travis or on my local when I run the tests on version `v1.0`.

@GHTaarn I think the Quandl code you are using here might be mis-specified? That is, I don't think `"AAPL"` is a valid Quandl data code. Could you try it with...