Hello dear Hivers,
here are the:
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):
Top 10 $ALIVE buyers, how much they got and how much $HIVE they spend for this. Sorted by $HIVE, that was spent:
Sorted by the $HIVE, they have spent:
| Buyer(Descending) | Sold $HIVE | % Sold $HIVE | Bought $ALIVE | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
 @cccf | 49.61262 | 35.12 % | 3317.43946 | 0.01465 | 14 |
 @watchlist | 22.53896 | 15.95 % | 1511.53620 | 0.01476 | 96 |
 @master-lamps | 15.95169 | 11.29 % | 1040.37209 | 0.01549 | 40 |
 @lisamgentile1961 | 9.78046 | 6.92 % | 520.00000 | 0.01848 | 12 |
 @imagenius.fund | 9.39589 | 6.65 % | 700.00000 | 0.01445 | 9 |
 @ana-maria | 6.56805 | 4.65 % | 382.47009 | 0.01744 | 3 |
 @aliveandthriving | 5.39675 | 3.82 % | 357.18879 | 0.01538 | 4 |
 @pepentropy | 4.08250 | 2.89 % | 300.00000 | 0.01382 | 13 |
 @edgerik | 2.30263 | 1.63 % | 140.00000 | 0.01664 | 8 |
 @flaxz | 2.23469 | 1.58 % | 125.71710 | 0.01771 | 7 |
 @mcbot | 2.16500 | 1.53 % | 133.35750 | 0.01748 | 4 |
 @efmm | 2.13960 | 1.51 % | 142.49500 | 0.01502 | 2 |
 @pwbanker | 1.71548 | 1.21 % | 120.67570 | 0.01714 | 5 |
 @ironshield | 1.60085 | 1.13 % | 105.00000 | 0.01663 | 2 |
 @dailyspam | 1.53805 | 1.09 % | 102.43290 | 0.01502 | 3 |
 @osiriss | 0.96683 | 0.68 % | 69.16690 | 0.01379 | 8 |
 @pixelfan | 0.68870 | 0.49 % | 40.19000 | 0.01735 | 6 |
 @kqaosphreak | 0.54109 | 0.38 % | 30.99010 | 0.01746 | 1 |
 @ben.haase | 0.46882 | 0.33 % | 30.75040 | 0.01591 | 7 |
 @dewabrata | 0.46410 | 0.33 % | 30.00000 | 0.01547 | 2 |
| others | 1.12440 | 0.80 % | 71.64510 | 0.01759 | 83 |
| Sum: | 141.27716 | 100 % | 9271.42733 | 0.01682 | 329 |
Top 10 $ALIVE Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Sorted by the $HIVE, they have got:
| Seller(Descending) | Earned $HIVE | % Earned $HIVE | Sold $ALIVE | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @pwbanker | 82.39239 | 58.32 % | 5542.71093 | 0.01431 | 52 |
| @watchlist | 22.65457 | 16.04 % | 1364.34470 | 0.01667 | 52 |
 @jlufer | 9.64748 | 6.83 % | 620.01910 | 0.01613 | 4 |
 @hankanon | 3.72000 | 2.63 % | 250.00000 | 0.01488 | 1 |
| @master-lamps | 2.97720 | 2.11 % | 182.57930 | 0.01692 | 86 |
 @konkester | 2.09367 | 1.48 % | 157.37940 | 0.01335 | 5 |
 @twicejoy | 1.98944 | 1.41 % | 132.49500 | 0.01502 | 2 |
 @leemah1 | 1.61736 | 1.14 % | 116.56240 | 0.01388 | 4 |
 @mypathtofire | 1.37463 | 0.97 % | 86.24420 | 0.01542 | 7 |
 @gank | 1.36709 | 0.97 % | 88.37950 | 0.01514 | 9 |
 @hive-103505 | 1.24860 | 0.88 % | 79.95680 | 0.01561 | 4 |
 @edwincj | 0.98715 | 0.70 % | 60.00000 | 0.01645 | 3 |
 @brofund | 0.90586 | 0.64 % | 55.43760 | 0.01630 | 7 |
 @liotes.alive | 0.81245 | 0.58 % | 52.51760 | 0.01547 | 3 |
 @bitphoto | 0.72227 | 0.51 % | 43.85780 | 0.01648 | 2 |
 @pepetoken | 0.64851 | 0.46 % | 36.03020 | 0.01800 | 1 |
 @reeta0119 | 0.53390 | 0.38 % | 32.35780 | 0.01650 | 3 |
 @ctpsb | 0.46259 | 0.33 % | 30.80780 | 0.01502 | 1 |
 @ctpsb.leo | 0.39598 | 0.28 % | 26.37210 | 0.01502 | 1 |
 @servelle | 0.30356 | 0.21 % | 20.23750 | 0.01500 | 1 |
| others | 4.42241 | 3.13 % | 293.13760 | 0.01532 | 81 |
| Sum: | 141.27711 | 100 % | 9271.42733 | 0.01540 | 329 |
| Request | Received Hive | Received HIVE % | Sold $ALIVE | Avg. Price |
|---|---|---|---|---|
| sell | 100.05441 | 70.82% | 6709.76142 | 0.01495 |
| buy | 41.22276 | 29.18% | 2561.66591 | 0.01670 |
| sum: | 141.27717 | 100% | 9271.42733 | 0.01582 |
This figure shows the value of $HIVE compared to some tokens. Be aware of the nonlinear (root square) y-axes.
Value of $USD compared to some token. Be aware of the nonlinear (root square) y-axes.
Average value of the prices of the token. Hive and US-Dollar compared to the token:
Links:
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.
@advertisingbot2/posts?filter=stats
@achimmertens
https://github.com/achimmertens
She delivered essential medical services to those unable to afford it with the Kiwanis Club at Brgy Punta Taytay, Bacolod City (Philipines)
Here is her post about it:
@grsyll/a-mission-of-hope-with-kiwanis-club-at-brgy-punta-taytay-bacolod-city
I allready have send her a small gift via @anobel (i.e. from the money, that I earn with these reports here):
This week I worked successfully on an new project. I downloaded a local AI tool and trained it with some private data (The names of my chicken :-)). This has the advantage, that my data doesn't leave my PC and I don't need to pay for AI resources. Here is how I did it:
@achimmertens/wie-man-einen-lokalen-ki-bot-erstellt-und-ihn-mit-privaten-daten-futtert-how-to-create-a-local-ai-bot-and-feed-it-with-private-d
Regards,
Achim Mertens
