As expected the next 10 notes did not sell with a slight
markup around 0.5%. After a day, I changed to a 0.5% discount. Still no takers.
I moved the asking price down to a 1.5% discount. Only 1 note sold in the next
day. So, I moved the discount to 2%.
I wanted to see if I could detect any bots checking out the
notes for sale and automatically picking off good ones. I checked back after a
few minutes to see if any more had sold. No. To me, this implies two
possibilities. One, there may not be any bots. Or more likely if there are
some, I’m not triggering them. There is a user forum at lendacadamy.com that is
excellent. One user did indicate that he has a bot always looking for
appropriate notes. Apparently, the notes I offered did not pass his screening
criteria.
Another note sold at the 2% discount, while 4 more were
cancelled due to payment processing. Granted I picked the notes randomly
without looking when the next payment is scheduled. I suppose looking at then
in detail could avoid this. I raised the discount a percent at a time. Two more
notes sold at about a 4% discount, while two remain at a 5% discount.
I guess the lesson that I’ve learned is that I’ll just have
to put notes out for sale and keep moving the discount until I reach the
appropriate level for each note. Meanwhile, I am continuing to try to populate
the seven test cases. The one that is lagging behind is the zip-grade screening
criteria I developed. Apparently, the criteria I am using is pretty tough. I’ll
probably post another update next week. Follow me on Twitter @billlanke and I
post when it is done.
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