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domain OIR.com - What's your take on 3L? Appraise before they sell!

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If anyone wants to chime in with their appraisal feel free. Sometimes I will appraise below the current bid like today.

Format: Domain - Appraisal (End Price)

OIR.com - $16,023 ($24,999)
OCB.com - $15,742 ($27,500)
GUD.com - $26,287 ($21,914)
ZOJ.com - $17,584 ($15,500)
ASY.com $14,113 ($12,000)

Aggregate Estimate: $89,749
End Price: $101,913
Difference: $12,126 (~12%)
 
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Don't you have an automated method you just came up with for these?
 
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Don't you have an automated method you just came up with for these?

Yeah. Fine tuning it now. Would love for someone to try to outguess an algorithm lol. Could be some fun!
 
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Just curious what your algo would output for LLL that are also words like sun.com or yes.com
 
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Just curious what your algo would output for LLL that are also words like sun.com or yes.com

Haven't figured out how to account for value outside of the individual letters and letter positions yet. That task is rather complicated.

Either way, if you'd like an appraisal of something let me know! I have an end user algorithm and a wholesale algorithm. :)
 
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Does your algo work with dot coms only or does it cover others like .domains, etc
 
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add $10000 more to all of them.
 
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the demand on 4L.com is going up, you underestimate the power of the 3L lol
 
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ok, whatever you say. Just helping.
 
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Not bad Shane...its really tough to be accurate with LLL names with all the meanings and acronyms out there. Will PM you a list of LLL sales I have from the last 2 years or so if you wanted to run any of them for testing
 
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Shane is this algo based entirely on past sales ?
 
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Shane is this algo based entirely on past sales ?

That's a complicated question. It is passed on sales history but it is not assigned to a domain. For example, if you say ABC.com sold for $10k my algorithm will not return $10,000 as the value. It will give you another value entirely. Helps you see if it's appreciated or even if you undersold.

P.S. I'm probably going to make this a free tool.
 
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That's a complicated question. It is passed on sales history but it is not assigned to a domain. For example, if you say ABC.com sold for $10k my algorithm will not return $10,000 as the value. It will give you another value entirely. Helps you see if it's appreciated or even if you undersold.

P.S. I'm probably going to make this a free tool.

Well maybe I did not phrase the question properly.
I mean, is the historic sales all the data you use to come up with a price ? Or do you contribute more data to the system like letter frequency etc.
 
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Well maybe I did not phrase the question properly.
I mean, is the historic sales all the data you use to come up with a price ? Or do you contribute more data to the system like letter frequency etc.

Right now it's purely based on sale's history. Frequency will show liquidity. Just have to figure out the right formula and how to report it in an easy to understand metric.
 
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Does it take the historical inflation rate(s) into consideration? This may, or may not be, an important factor in determining value now as you're comparing it to past data.
 
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Similar to David Walker's question : as LLL prices change with time, will the algo adapt ?
 
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