Quote from: Ashitank on November 12, 2013, 07:10:56 PM

Quote from: ninthgate on November 12, 2013, 07:02:58 PM

Quote from: mmmerlin on November 12, 2013, 06:24:38 PM

Numbers taken from these very low liquidity markets should be expressed with huge error bars IMHO. This is very useful info, and I thank you for collecting it and compiling it, but large error bars must be used to stop people extrapolating from very small data sets. (Many people are just really stupid I'm afraid, and will read more into these metrics than anyone ever should.)

Thanks again though, I think this is an important job.

mmerlin -- you're spot on. The data that I'm aggregating should not be regarded as financial advice or even technical analysis even in a future state. The amount of data are sparse, and, frankly, it's so sparse that it would be difficult to even calculate an appropriate margin for error. From a statistical perspective, the whole data set would likely fall into margins for error. There simply is insufficient data. But, I will start tracking volume, shares traded, pricing, and yield so that people have *something* tangible. Ultimately, however, people will have to consider their own risk tolerance.

grnbrg -- thanks for the pointer to when we were capturing to bitfunder data on greater frequency. Maybe I can find an explanation for those 127 shares. I happened to have worked for one of "those" audit firms in one of my past lives, so it'll be an interesting exercise.

Man reading your post make me beleive I am taking part in a executive board meeting lol , thanks for collating data & giving all data meaning full perspective

Cannot tell if trolling or genuine... :/