Hello friends of $LUV, Friends of $HIVE and all others,
here are the:
LUV Statistics for the last two weeks:
The timeframe is from 2022/06/10 - 2022/06/24.
(Last week I hadn't had time to do the report, so we look back for two weeks)
Bought $LUV By Time
This figure shows who has bought how many $LUV at which time:
Top $LUV Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $LUV, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $LUV):
Commulated Amount Of Bought $LUV Per Person
This figure shows the top 10 $LUV 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 $LUV Buyers
This table shows the top ten buyers of $LUV sorted by the $HIVE, they have spent:
| buyer.keyword: Descending | Sold $HIVE | Bought $LUV | Avg. Price |
|---|---|---|---|
| @ydaiznfts | 14.231278482824564 | 570.0000092983246 | 0.02483665042867263 |
| @wesphilbin | 5.512295722961426 | 216.50808715820312 | 0.025459999218583107 |
| @benbow2017 | 4.136495373898575 | 250.21543508242507 | 0.017307143059692214 |
| @ironshield | 3.6512309461832047 | 184 | 0.018423710018396378 |
| @onlydoge | 3.632598333992064 | 232.80761301517487 | 0.015594814421126136 |
| @petra67 | 3.5163784828037024 | 145.99999797344208 | 0.024097141410623277 |
| @beststart | 3.4038668274879456 | 154.3785650730133 | 0.02181333303451538 |
| @gaboamc2393 | 3.134000419639051 | 194.3069973886013 | 0.01609302195178908 |
| @shufunk | 2.3010401986539364 | 98.99999833106995 | 0.021961093362834718 |
| @dubble | 2.1649031673005084 | 131.11017013248056 | 0.01623546043410897 |
| @dimascastillo90 | 1.7431907802820206 | 69.36558532714844 | 0.025269750505685806 |
| @hafiz34 | 1.4537369329482317 | 61.60948568582535 | 0.023250000240902107 |
| @droida | 0.9773935060948133 | 64.01535630226135 | 0.015268109738826752 |
| @fridee75 | 0.299999996530671 | 11.872093117009285 | 0.023400000762194395 |
| @iamjabez | 0.19216892607801128 | 12.01055798958987 | 0.01600000075995922 |
| @chubb149 | 0.17072999477386475 | 7 | 0.024390000849962234 |
| @noblebright | 0.15500010084360838 | 10 | 0.01550000999122858 |
| @lordshah | 0.12195000052452087 | 5 | 0.024390000849962234 |
| @sabajfa | 0.11339999735355377 | 7 | 0.016200000420212746 |
| @buezor | 0.07985883951187134 | 3.274245262145996 | 0.024390000849962234 |
| @other | 0.15628429874777794 | 7.380797624588013 | 0.02104640007019043 |
Commulated Amount Of Sold $LUV Per Person
This figure shows the top 10 $LUV Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $LUV Sellers
This table shows the top ten sellers of $LUV Sorted by the $HIVE, they have got:
| seller.keyword: Descending | Earned $HIVE | Sold $LUV | Avg. Price |
|---|---|---|---|
| @kirstin | 7.953149795532227 | 318.1260070800781 | 0.02500000037252903 |
| @gaboamc2393 | 6.368264989438314 | 270.6145865080463 | 0.023760000057518483 |
| @barski | 6.268014268949628 | 257.5080871582031 | 0.01864534326725536 |
| @onlydoge | 5.322470750659704 | 221.1166467666626 | 0.02413600031286478 |
| @penyaircyber | 2.932000070810318 | 180 | 0.016216667369008064 |
| @achimmertens | 2.221916437149048 | 85.78828430175781 | 0.02590000070631504 |
| @brianhuang | 2.049591541290283 | 84 | 0.024399900808930397 |
| @supriya.gupta | 1.8548999652266502 | 80.99999928474426 | 0.02290000021457672 |
| @dksart | 1.4920099824666977 | 62.87209224700928 | 0.02389750024303794 |
| @chapelle | 1.3969337344169617 | 81.69202995300293 | 0.017100000753998756 |
| @skuration | 0.9062399864196777 | 59 | 0.015359999611973763 |
| @buezor | 0.8658588640391827 | 53.9890678524971 | 0.018240333224336307 |
| @kachinhenry | 0.5471689365804195 | 34.19805717468262 | 0.01600000075995922 |
| @albiro2050 | 0.5400000214576721 | 27 | 0.019999999552965164 |
| @suhlaing | 0.5191157460212708 | 34 | 0.015268109738826752 |
| @flaxz | 0.48659999668598175 | 30 | 0.016300000250339508 |
| @kaunglay2 | 0.4480000138282776 | 28 | 0.01600000075995922 |
| @noblebright | 0.447288915514946 | 21 | 0.021144949831068516 |
| @gestion.alive | 0.4071199968457222 | 24 | 0.017503332967559498 |
| @dswap | 0.3990629715844989 | 24.990000009536743 | 0.015851666685193777 |
| @other | 7.722094344516441 | 457.9601364250823 | 0.01696438617294743 |
Price of the $LUV
This figure shows the price of $LUV for the last period:
$LUV 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 $LUV that changed the ownership and the average price of $LUV for the last period.
The average price of the token in the picture is wrong, actually it was: 0.018 $HIVE/$LUV
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.
origin
Rank: 135
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": "LUV"}, "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