Hello friends of $ALIVE, Friends of $HIVE and all others,
As promised and thanks to @ana-maria (who convinced me to do it) here is my new (bi-weekly?) service:
ALIVE Statistics for the last week:
The timeframe is from 2022/07/10 (when I started collecting the data) - 2022/07/15.
Bought $ALIVE By Time
This figure shows who has bought how many $ALIVE at which time:
Top $ALIVE Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $ALIVE, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $ALIVE):
Commulated Amount Of Bought $ALIVE Per Person
This figure shows the top 10 $ALIVE 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 $ALIVE Buyers
This table shows the top ten buyers of $ALIVE sorted by the $HIVE, they have spent:
| buyer.keyword: Descending | Sold $HIVE | Bought $ALIVE | Avg. Price |
|---|---|---|---|
| @benthomaswwd | 25.942880269605666 | 1558.5852017998695 | 0.01632784932319607 |
| @achimmertens | 20.000000588595867 | 1136.912498474121 | 0.018148571252822876 |
| @onlydoge | 15.387320667738095 | 1482.795665860176 | 0.011681249947287142 |
| @urri2020 | 6.958237898652442 | 623.6542919129133 | 0.01098749868106097 |
| @magicbeans | 5.546243635977589 | 499.99949859961635 | 0.011587154186729873 |
| @bambukah | 4.910040497779846 | 321.59170150756836 | 0.015496666543185711 |
| @ekushya | 3.639667510986328 | 183.81080627441406 | 0.019769995473325253 |
| @tengolotodo | 3.57070791721344 | 222.11319160461426 | 0.015833333134651184 |
| @flaxz | 3.101254228502512 | 217.74389600753784 | 0.014085712842643261 |
| @nahueldare3627 | 2.9909915924072266 | 153.46279907226562 | 0.01948999986052513 |
| @penderis | 2.6751243621110916 | 185.1555995941162 | 0.014224987709894776 |
| @allonyx.ngs | 2.6675951331853867 | 239.89100044965744 | 0.011120029725134373 |
| @ana-maria | 2.0852408008649945 | 199.3917984738946 | 0.010856014117598534 |
| @dotz132 | 1.9789899587631226 | 100 | 0.01978990063071251 |
| @hoosie | 1.038330815732479 | 79.91200017929077 | 0.012993330135941505 |
| @misterc | 1.0362599212676287 | 52.231000781059265 | 0.0198399405926466 |
| @engilhramn | 0.5099997073411942 | 30.000000476837158 | 0.016999945044517517 |
| @ben.haase | 0.47845337726175785 | 43.45919920504093 | 0.010866705535186661 |
| @darmst5339 | 0.3150036036968231 | 24.24970054626465 | 0.01298999972641468 |
| @denmarkguy | 0.022240180522203445 | 1.7121000289916992 | 0.01298999972641468 |
| @other | 0.01169021955502103 | 0.7766000032424927 | 0.01566333385805289 |
Commulated Amount Of Sold $ALIVE Per Person
This figure shows the top 10 $ALIVE Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $ALIVE Sellers
This table shows the top ten sellers of $ALIVE Sorted by the $HIVE, they have got:
| seller.keyword: Descending | Earned $HIVE | Sold $ALIVE | Avg. Price |
|---|---|---|---|
| @onlydoge | 35.112981321290135 | 1982.7060062289238 | 0.015469090674411167 |
| @hive.phyowinkoko | 12.403059601783752 | 1239.0667724609375 | 0.010010004974901676 |
| @urri2020 | 9.53158649802208 | 614.3542919158936 | 0.01564428715833596 |
| @jlufer | 7.812630749929667 | 607.5995807051659 | 0.01440000037352244 |
| @iamraincrystal | 7.172882974147797 | 577.2215995788574 | 0.012260007439181209 |
| @magicbeans | 6.548986077308655 | 400 | 0.016372465528547764 |
| @learningenglish | 3.259115003980696 | 325.9111960530281 | 0.0100000174716115 |
| @imagenius.dac | 3.1324612498283386 | 157.88600540161133 | 0.019840000197291374 |
| @ddn688 | 3.001249313354492 | 191.16250610351562 | 0.01569999009370804 |
| @mypathtofire | 2.591396689414978 | 131 | 0.01978997016946475 |
| @gank | 2.463480308651924 | 221.5359935760498 | 0.011120005045086145 |
| @edgerik | 1.8342399597167969 | 143.3000030517578 | 0.012799999676644802 |
| @ana-maria | 1.7414984703063965 | 100 | 0.017414985224604607 |
| @ben.haase | 1.1735407280903019 | 80.91079823806649 | 0.014472481717045108 |
| @epic-fail | 1.0804621279239655 | 110.25090026855469 | 0.009800029918551445 |
| @twicejoy | 0.5719436407089233 | 51.47800064086914 | 0.011110014747828245 |
| @ironshield | 0.5447414517402649 | 28.685699462890625 | 0.01899000070989132 |
| @faireye | 0.5014955401420593 | 45.0984001159668 | 0.011120029725134373 |
| @leemah1 | 0.4985767602920532 | 44.83599853515625 | 0.011120010167360306 |
| @remaerd2ndacct | 0.47340157628059387 | 23.87299919128418 | 0.019829999655485153 |
| @other | 3.4165428448468447 | 280.57179932296276 | 0.01240887019251074 |
Price of the $ALIVE
This figure shows the price of $ALIVE for the last period:
$ALIVE 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 $ALIVE that changed the ownership and the average price of $ALIVE for the last period.
The average price of the token in the picture is wrong, actually it was: 0.014 $HIVE/$ALIVE
Comparison With Other Tokens (last 12 days)
$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": "ALIVE"}, "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
