For the sake of brevity, this will end up being two posts. In the first, I will break down the particular levels of being a LEO. This is going to be a system that is based upon how Hive operates and simply transferred to Leo.
Some might not think the best approach and that is fine. It would be best to put any suggestions or other ways of calculating in the comment section.
The first part of our analysis requires a conversion factor from Hive to Leo.
We start with Hive. According to Hiveblocks this is the current supply:
Next we get the supply of LEO. This came from Leodex.io.
Now we can get our ratio. With 372 million HIVE outstanding (we will omit the HBD because that can fluctuate based upon a variety of factors), and 5.8 million LEO, we simply divide the later by the former.
5,810,541/372,960,013 = .0156
Thus our conversion ratio is .0156. We will use that is in a bit
To figure out the categories on Hive, we need to understand that it is not HP that determines each level but, rather MVests. The categories break down as follows:
Minnow 1 MV; Dolphin 10 MV; Orca 100 MV; Whale 1,000 MV
Therefore, we will use the Hive MV ratio supplied by https://hive-db.com/.
Thus to reach each level on Hive is as follows:
Minnow 520.815 HP
Dolphin 5,208.150 HP
Orca 52,081.500 HP
Whale 520,815.00 HP
Now we simply multiply the Hive to LEO ratio (.0156) by each level of HP to get the conversion.
Here is how it all unfolds:
Minnow 8.125 LEO
Dolphin 81.250 LEO
Orca 812.471 LEO
Whale 8,124.714 LEO
Big Kahuna 81,247.140 LEO
Lion King 812,471.40 LEO
You will notice we added another category above Whale. The reason for this is to distinguish the distribution in a better fashion. Having another category allows the Whales the opportunity to "graduate" to another level, providing a more detailed view of how this tokens are truly held.
Tomorrow, in the second part, I will build upon the reports from a couple months ago to show how things are shaping up right now.
Please let me know your thoughts on this and the system that was put into place.
Do you agree with the metrics used or do you think something different should be done?
If you found this article informative, please give an upvote and rehive.
gif by @doze
