Weekly Statistics For The $BEER Token
Hello friends of $BEER, Friends of $HIVE and all others,
here are the:
BEER 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 $BEER By Time
This figure shows who has bought how many $BEER at which time:
Top $BEER Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $BEER, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $BEER):
Commulated Amount Of Bought $BEER Per Person
This figure shows the top 10 $BEER 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 $BEER Buyers
This table shows the top ten buyers of $BEER sorted by the $HIVE, they have spent:
buyer.keyword: Descending | Sold $HIVE | Bought $BEER | Avg. Price |
---|---|---|---|
@detlev | 76.20341341797042 | 792.4253548683077 | 0.11198137886822224 |
@reiseamateur | 64.55931572569534 | 813.5672919899225 | 0.07936410937044355 |
@dailygiveaways | 26.232716493744665 | 190.77641996991372 | 0.13013333082199097 |
@onlydoge | 10.776688242658565 | 111.53239126282278 | 0.11604350004345179 |
@gaboamc2393 | 8.400000014124089 | 70.00000081385951 | 0.11999999731779099 |
@maryjane.main | 5.530502967109619 | 44.99999975957587 | 0.12499399280006235 |
@dimascastillo90 | 3.992500066757202 | 25 | 0.15970000624656677 |
@torran | 2.597552413120866 | 25.000000283122063 | 0.12843600064516067 |
@chetanpadliya | 2.214149988032233 | 19.784744130309036 | 0.1142825424671173 |
@floki-skarsgaard | 2.1925004629334808 | 20.285000505276116 | 0.10468614207846778 |
@untzuntzuntz | 1.8768353760242462 | 17.7739999294281 | 0.1050066240131855 |
@mypathtofire | 1.7487800121307373 | 22 | 0.07948999851942062 |
@roger.remix | 1.4542352367643616 | 14.536360686295666 | 0.10009391009807586 |
@stiant | 1.34849997702986 | 10.000000190921128 | 0.12242500111460686 |
@jpal47 | 1.0803535133600235 | 9.911499947309494 | 0.10899999737739563 |
@saulos | 0.9280085016507655 | 15.213254256057553 | 0.061000000685453415 |
@morzex | 0.800000011920929 | 5.71837043762207 | 0.13989999890327454 |
@edgerik | 0.7251812294125557 | 4.9999998807907104 | 0.1453333298365275 |
@naloman | 0.7243815660476685 | 5.0000001192092896 | 0.1448500007390976 |
@skimanner | 0.6515399925410748 | 6.20706681907177 | 0.1040000006556511 |
@other | 1.2218476827256382 | 9.981295213103294 | 0.1133007790361132 |
Commulated Amount Of Sold $BEER Per Person
This figure shows the top 10 $BEER Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $BEER Sellers
This table shows the top ten sellers of $BEER Sorted by the $HIVE, they have got:
seller.keyword: Descending | Earned $HIVE | Sold $BEER | Avg. Price |
---|---|---|---|
@roger.remix | 53.402039773762226 | 670.4922900795937 | 0.08444366604089737 |
@kirstin | 32.979920357465744 | 414.8417739868164 | 0.0794999971985817 |
@wine-cellar | 22.580313630402088 | 176.81599748134613 | 0.1277999941791807 |
@onlydoge | 20.902796380617197 | 181.02213595693024 | 0.12317277822229597 |
@cloudblade | 12.667910369029528 | 98.21592155462895 | 0.12839999546607336 |
@claudio83 | 11.087784089148045 | 95.89658109843731 | 0.11128750257194042 |
@gaboamc2393 | 10.079998970031738 | 70 | 0.14399999380111694 |
@tonytrillions | 8.488606622941901 | 106.1075765728906 | 0.07999999821186066 |
@droida | 6.52831099575684 | 51.81200961405273 | 0.12599995732307434 |
@aliveprojects | 5.758362829685211 | 53.282012939453125 | 0.10809999952713649 |
@misterc | 3.9463377594947815 | 34.30268478393555 | 0.112418033182621 |
@bitandi | 3.3377699851989746 | 30.905277252197266 | 0.1080000028014183 |
@iamalivechalleng | 3.3040175437927246 | 53.282012939453125 | 0.06201000139117241 |
@barmbo | 3.2293179035186768 | 40.6203498840332 | 0.0794999971985817 |
@whiteboy1234 | 2.757325865328312 | 24.843293249607086 | 0.11539999768137932 |
@mers | 1.7879651792803912 | 14.212759937944327 | 0.1257999986410141 |
@thinkrdotexe | 1.7327063083648682 | 20.35336208343506 | 0.09269999836881955 |
@blockchainleo | 1.1954318534000015 | 10.359401405648342 | 0.10603187419474125 |
@flaxz | 1.1136127412319183 | 13.100556373596191 | 0.08500500209629536 |
@onestrong | 0.7798353433609009 | 7.773999929428101 | 0.10031324997544289 |
@other | 7.598638389942283 | 66.4730539394911 | 0.11404352478446468 |
Price of the $BEER
This figure shows the price of $BEER for the last period:
$BEER 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 $BEER that changed the ownership and the average price of $BEER for the last period.
The average price of the token in the picture is wrong, actually it was: 0.113 $HIVE/$BEER
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": "BEER"}, "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:
Regards, Achim Mertens