Hello dear Hivers,
here are the:
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):
Top 10 $POB 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 $POB | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
 @anadolu | 39.47369 | 18.37 % | 4208.09321 | 0.00930 | 38 |
 @watchlist | 38.24606 | 17.79 % | 4371.63970 | 0.00912 | 65 |
 @richardcrill | 31.91140 | 14.85 % | 3405.76541 | 0.00930 | 267 |
 @god0 | 29.70073 | 13.82 % | 3344.69362 | 0.00902 | 30 |
 @mcbot | 18.65578 | 8.68 % | 2015.11122 | 0.00917 | 17 |
 @automaton | 15.70729 | 7.31 % | 1510.90253 | 0.01022 | 19 |
 @onlyhive | 10.02425 | 4.66 % | 1001.59820 | 0.01001 | 129 |
 @dswap | 8.94529 | 4.16 % | 920.99419 | 0.00972 | 26 |
 @vocup | 6.95917 | 3.24 % | 726.71847 | 0.00960 | 4 |
 @ana-maria | 6.64301 | 3.09 % | 729.99999 | 0.00910 | 6 |
 @frugal-fun | 4.36672 | 2.03 % | 443.77146 | 0.00978 | 12 |
 @faireye | 1.24332 | 0.58 % | 136.70225 | 0.00909 | 14 |
 @yintercept | 1.18781 | 0.55 % | 127.42107 | 0.00932 | 5 |
 @pepentropy | 0.89250 | 0.42 % | 100.00000 | 0.00893 | 1 |
 @he-index | 0.35077 | 0.16 % | 36.07794 | 0.00996 | 45 |
 @hivecurious | 0.19910 | 0.09 % | 22.00000 | 0.00905 | 1 |
 @pandaparker | 0.10921 | 0.05 % | 11.74288 | 0.00930 | 2 |
 @vagabondspirit | 0.10153 | 0.05 % | 11.00000 | 0.00923 | 1 |
 @gtpjfoodbank | 0.09308 | 0.04 % | 9.75676 | 0.00954 | 1 |
 @buynburn | 0.08100 | 0.04 % | 9.00000 | 0.00900 | 1 |
| others | 0.04193 | 0.02 % | 4.65863 | Infinity | 1 |
| Sum: | 214.93364 | 100 % | 23147.64753 | 0.00984 | 685 |
Top 10 $POB 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 $POB | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @mcbot | 27.17135 | 12.64 % | 2838.37797 | 0.00967 | 39 |
| @dswap | 16.37876 | 7.62 % | 1836.99656 | 0.00907 | 14 |
| @watchlist | 16.27245 | 7.57 % | 1662.89636 | 0.00982 | 77 |
| @god0 | 15.29920 | 7.12 % | 1496.44596 | 0.01003 | 30 |
 @borjan | 12.17965 | 5.67 % | 1406.81910 | 0.00873 | 3 |
 @vempromundo | 12.06757 | 5.61 % | 1298.60817 | 0.00920 | 5 |
| @anadolu | 11.04208 | 5.14 % | 1115.51106 | 0.00997 | 70 |
 @jhelbich | 9.48480 | 4.41 % | 987.99978 | 0.00960 | 21 |
 @politicalhive | 8.36503 | 3.89 % | 892.94999 | 0.00965 | 11 |
 @topbooster | 7.38402 | 3.44 % | 799.99998 | 0.00923 | 9 |
 @taskmaster4450le | 7.29643 | 3.39 % | 795.12726 | 0.00917 | 7 |
 @kenechukwu97 | 6.26238 | 2.91 % | 736.65563 | 0.00883 | 7 |
 @george-dee | 4.77859 | 2.22 % | 539.00000 | 0.00905 | 5 |
 @nbarrios67 | 3.69092 | 1.72 % | 447.28099 | 0.00863 | 5 |
 @dsc-r2cornell | 3.49528 | 1.63 % | 385.46152 | 0.00910 | 5 |
 @michupa | 3.43708 | 1.60 % | 422.56648 | 0.00858 | 5 |
 @bananasfallers | 3.24606 | 1.51 % | 413.32329 | 0.00838 | 4 |
 @friendlymoose | 2.79218 | 1.30 % | 292.63907 | 0.00961 | 3 |
 @syel25 | 2.37773 | 1.11 % | 261.28904 | 0.00910 | 9 |
 @fjworld | 2.30270 | 1.07 % | 242.38914 | 0.00950 | 1 |
| others | 39.60938 | 18.43 % | 4275.31016 | 0.00935 | 355 |
| Sum: | 214.93364 | 100 % | 23147.64751 | 0.00934 | 685 |
| Request | Received Hive | Received HIVE % | Sold $POB | Avg. Price |
|---|---|---|---|---|
| sell | 118.98311 | 55.36% | 13060.67738 | 0.00931 |
| buy | 95.95054 | 44.64% | 10086.97015 | 0.00976 |
| sum: | 214.93365 | 100% | 23147.64753 | 0.00954 |
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
@mukadder.She and her friends bought toys for children in a women's shelter in Antalya. She emphasized the importance of supporting those in need, especially women and children who have experienced violence and abuse.
You can see her work here: @mukadder/we-are-collecting-toys-for
I allready have send her a small gift via 
This week was very successfull for me. On Monday and Tuesday I had a run and developed a working prototype python tool from scratch. I created a Charity/Hatespeech detector.
It reads some text from Hive, sends this to a trained AI assistant and recieves a category, if there is charity in it or hatespeech or nothing of them.
It is a very beginning, but it works and now I can start showing this to my colleagues.
Details: @achimmertens/how-to-create-an-ai-hive-content-checker-wie-man-einen-ki-hive-text-checker-baut
Regards,
Achim Mertens
