Hello all,
as wished from @finguru I proudly present my first stats for $POB.
The first stats for $BEER can be seen here.
As I started today collecting $POB logs, all stats are valid for the last 24 hours, so it is not so representative at the moment.
Bought $POB By Time
This figure shows who has bought how many $POB at wich time.
Top Ten $POB Buyers and $HIVE Sellers
The inside of the circle shows the Buyers of $POB, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (recipients of $POB):
Commulated Amount Of Bought $POB Per Person
This figure shows the top ten $POB buyers, how much they got and how much $HIVE they spend for this. It is sorted by $HIVE, that was spent:
Table Of Top 10 $POB Buyers
This table shows the top ten buyers of $POB sorted by the $HIVE, they have spent:
| buyer.keyword: Descending | Sold $HIVE | Bought $POB | Avg. Price |
|---|---|---|---|
| @onealfa.leo | 416.09968577252585 | 437.1162834609422 | 0.9743503138076427 |
| @richardcrill | 123.44304860814009 | 145.831061122939 | 0.8436030427614848 |
| @anadolu | 62.81647653481923 | 71.9103365871124 | 0.8697500169277191 |
| @fw206 | 46.800000831484795 | 52.000000201165676 | 0.8999999761581421 |
| @dwayne16 | 39.94956244858622 | 43.900617481267545 | 0.9100000262260437 |
| @celestal | 35.377158880233765 | 30.985503554344177 | 1.1459974944591522 |
| @thranax | 31.3914116024971 | 38.03617262840271 | 0.8252449929714203 |
| @andy4475 | 23.858999729156494 | 24.09999966621399 | 0.9900000095367432 |
| @revisesociology | 19.614226311445236 | 18.000000089406967 | 1.0634264264787947 |
| @interpretation | 9.840000301599503 | 12.000000357627869 | 0.8199999928474426 |
| @other | 64.1898843870149 | 70.20874414691934 | 0.9433683423619521 |
Commulated Amount Of Sold $POB Per Person
This figure shows the top ten $POB Sellers and how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 10 $POB Sellers
This table shows the top ten sellers of $POB Sorted by the $HIVE, they have got:
| seller.keyword: Descending | Earned $HIVE | Sold $POB | Avg. Price |
|---|---|---|---|
| @faireye | 152.08897277712822 | 152.08897277712822 | 1 |
| @brofi-market | 51.91685962677002 | 57.051493644714355 | 0.8799999952316284 |
| @shepz1 | 45.1483039855957 | 54.70400047302246 | 0.8253200054168701 |
| @anadolu | 45.10000044107437 | 45.99999988079071 | 0.9771428533962795 |
| @thelogicaldude | 39.35810089111328 | 43.7280158996582 | 0.9000660181045532 |
| @trumpman | 36 | 40 | 0.8999999761581421 |
| @ftfund | 31.84376287460327 | 34.778496742248535 | 0.9200000166893005 |
| @romirspc.tribe | 29.494912564754486 | 32.39999955892563 | 0.9100020051002502 |
| @madstacks | 29.175378799438477 | 35.35238552093506 | 0.8252612054347992 |
| @grizzle | 26.76583695411682 | 27.03619885444641 | 0.9900000095367432 |
| @other | 386.4883264929085 | 420.9491559444723 | 0.9367951094093969 |
$POB Summarize Metrics
Here one can see the sum of $POB that was bought, the sum of $HIVE, that was sold and the average price (by count) of $POB for the last period:
Disclaimer
Disclaimer
All stats are without warranty.
They are taken from:
curl -XPOST -H "Content-type: application/json" -d '{ "jsonrpc": "2.0", "method": "find", "params": { "contract": "market", "table": "tradesHistory", "query": { "symbol": "TOKEN"}, "limit":1000, "offset": 0 }, "id": 1 }' 'https://api.hive-engine.com/rpc/contracts'
I have put them into logfiles and uploaded them to kibana, from which I took the screenshots.
If you find errors, please tell me!
I hope you like it. Please tell me what to change.
Now I can upload the stats regularely (weekly or monthly). But be aware, that I have some manual work to do. So please give me some worthy upvotes to motivate me to go on.
The $LIST stats will probably be available tomorrow.
If you want me to collect other Hive Engine stats, please tell me in the comments.
Regards, Achim