Hello friends of $POB, Friends of $HIVE and all others,
here are the:
$POB Statistics for the last week:
The timeframe is from 2023-06-09 to 2023-06-16.
Bought $POB By Time
This figure shows who has bought how many $POB at which time:
Top $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 (sellers of $POB):
Commulated Amount Of Bought $POB Per Person
This figure shows the top 10 $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 20 $POB Buyers
This table shows the top ten buyers of $POB sorted by the $HIVE, they have spent:
| Buyer(Descending) | Sold $HIVE | % Sold $HIVE | Bought $POB | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @balina | 112.39065 | 17.34 % | 3267.52456 | 0.03491 | 151 |
| @god0 | 106.32393 | 16.41 % | 3161.25565 | 0.03353 | 241 |
| @mcbot | 102.88573 | 15.88 % | 3008.55959 | 0.03307 | 23 |
| @coininstant | 94.91117 | 14.65 % | 2729.59972 | 0.03488 | 46 |
| @all.coin.hive | 93.86511 | 14.48 % | 2750.59198 | 0.03353 | 19 |
| @anadolu | 31.83794 | 4.91 % | 987.00406 | 0.03259 | 48 |
| @onlydoge | 22.06561 | 3.40 % | 706.45492 | 0.03098 | 6 |
| @sbi-tokens | 15.50000 | 2.39 % | 500.00000 | 0.03100 | 1 |
| @pobtrooper | 9.80940 | 1.51 % | 260.75716 | 0.03748 | 7 |
| @deepresearch | 9.17813 | 1.42 % | 270.00000 | 0.03400 | 3 |
| @shanhenry | 8.44209 | 1.30 % | 271.44985 | 0.03110 | 3 |
| @pob.macro | 7.20000 | 1.11 % | 190.84261 | 0.03767 | 3 |
| @dalz | 7.00000 | 1.08 % | 200.00000 | 0.03500 | 20 |
| @vaped | 4.90000 | 0.76 % | 130.70221 | 0.03749 | 2 |
| @hive-102040 | 4.02544 | 0.62 % | 116.69262 | 0.03356 | 6 |
| @pob.curator | 3.31393 | 0.51 % | 92.59395 | 0.03568 | 22 |
| @webflow | 3.30000 | 0.51 % | 88.02394 | 0.03749 | 2 |
| @elon.curator | 2.90000 | 0.45 % | 80.55556 | 0.03600 | 7 |
| @hivecurious | 1.80050 | 0.28 % | 50.00000 | 0.03601 | 2 |
| @ugochill | 1.56575 | 0.24 % | 44.00000 | 0.03512 | 12 |
| others | 4.83160 | 0.75 % | 136.20976 | 0.03942 | 32 |
| Sum: | 648.04698 | 100 % | 19042.81814 | 0.03607 | 656 |
Commulated Amount Of Sold $POB Per Person
This figure shows the top 10 $POB Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $POB Sellers
This table shows the top ten sellers of $POB Sorted by the $HIVE, they have got:
| Seller(Descending) | Earned $HIVE | % Earned $HIVE | Sold $POB | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @opidia | 84.30771 | 13.01 % | 2337.62874 | 0.03625 | 29 |
| @taskmaster4450 | 77.37877 | 11.94 % | 2482.87036 | 0.03205 | 11 |
| @anadolu | 51.58120 | 7.96 % | 1366.64171 | 0.03694 | 10 |
| @balina | 38.91408 | 6.00 % | 1160.52066 | 0.03576 | 20 |
| @sbi-tokens | 34.56826 | 5.33 % | 1001.95041 | 0.03425 | 4 |
| @all.coin.hive | 32.51970 | 5.02 % | 928.99152 | 0.03550 | 2 |
| @dswap | 25.92942 | 4.00 % | 779.50808 | 0.03344 | 27 |
| @daltono | 24.27758 | 3.75 % | 776.30908 | 0.03128 | 2 |
| @god0 | 23.41184 | 3.61 % | 631.46655 | 0.03660 | 14 |
| @alokkumar121 | 18.39295 | 2.84 % | 586.07983 | 0.03139 | 2 |
| @mcbot | 14.70467 | 2.27 % | 408.45547 | 0.03600 | 3 |
| @xawi | 11.74523 | 1.81 % | 326.25638 | 0.03600 | 2 |
| @lebah | 10.44764 | 1.61 % | 335.91171 | 0.03111 | 4 |
| @merit.ahama | 9.57037 | 1.48 % | 307.33761 | 0.03115 | 3 |
| @violator101 | 8.55748 | 1.32 % | 275.00135 | 0.03118 | 3 |
| @dimascastillo90 | 8.31246 | 1.28 % | 228.25760 | 0.03692 | 3 |
| @dimeilaz | 7.25670 | 1.12 % | 232.96904 | 0.03110 | 11 |
| @zonadigital21 | 7.16524 | 1.11 % | 226.19587 | 0.03168 | 4 |
| @josediccus | 6.85729 | 1.06 % | 199.28361 | 0.03515 | 4 |
| @kei2 | 6.40006 | 0.99 % | 200.00000 | 0.03200 | 2 |
| others | 145.74824 | 22.49 % | 4251.18263 | 0.03458 | 496 |
| Sum: | 648.04689 | 100 % | 19042.81821 | 0.03450 | 656 |
Price of the $POB
This figure shows the price of $POB for the last period:
$POB Summarize Metrics
This table shows how much $HIVE was given by buy-requests, that where equal or higher than the sell order vs. sell-requests, that were equal or lower than the buy order.
If the buy-requests where higher than the sell-requests, then money comes into the system and the value of the token increases.
Under the total line one can see the sum of $HIVE and sum of $POB that changed the ownership and the average price of $POB for the last period.
| Request | Received Hive | Received HIVE % | Sold $POB | Avg. Price |
|---|---|---|---|---|
| sell | 451.88928 | 69.73% | 13471.65597 | 0.03400 |
| buy | 196.15771 | 30.27% | 5571.16215 | 0.03544 |
| sum: | 648.04699 | 100% | 19042.81812 | 0.03472 |
Comparison With Other Tokens
$HIVE/Token
This figure shows the value of $HIVE compared to some token for the last period. Be aware of the nonlinear (root square) y-axes.
US-Dollar/Token
This figure shows the value of $USD compared to some token for the last period. Be aware of the nonlinear (root square) y-axes.
The HIVE rank in Coinmarktecap is: 150
Table Of Token Prices in $HIVE and $USD
This table shows the average value of the prices of the token for the last period. One can see Hive and the US-Dollar compared to the token.
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!
If you want me to continue the stats, give me some good upvotes ;-)
If you want to see other statistics (even from totaly other data), please contact me. I can create them weekly or monthly if I get some rewards for it.
For more details see here: How I Have Set Up Elasticsearch And Kibana On My Raspberry Pi To Monitor Token Activities and here: Do You Want To See Statistics Of Your Favorite HIVE Token? or on github.
Here are the stats from the other tokens I observe: https://peakd.com/@achimmertens/posts?filter=stats
Regards, Achim Mertens