Hello dear Hivers,
here are the:
The inside of the circle shows the buyers of $LEO, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $LEO):
Top 10 $LEO 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 $LEO | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| 2205.33410 | 26.83 % | 12017.59285 | 0.17982 | 113 | |
| 1011.86918 | 12.31 % | 5849.41703 | 0.17209 | 91 | |
| 880.82608 | 10.72 % | 5126.96504 | 0.17220 | 73 | |
| 771.88386 | 9.39 % | 4401.64104 | 0.17471 | 52 | |
| 664.02621 | 8.08 % | 3731.15002 | 0.17782 | 61 | |
| 653.19946 | 7.95 % | 3730.50702 | 0.17512 | 58 | |
| 532.60396 | 6.48 % | 3131.83309 | 0.17007 | 9 | |
| 347.56166 | 4.23 % | 1950.95306 | 0.17716 | 4 | |
| 299.61076 | 3.65 % | 1696.39900 | 0.17554 | 6 | |
| 128.09590 | 1.56 % | 649.99999 | 0.19705 | 4 | |
| 111.07353 | 1.35 % | 646.34700 | 0.17159 | 3 | |
| 85.63340 | 1.04 % | 490.00001 | 0.17347 | 15 | |
| 85.46936 | 1.04 % | 488.39200 | 0.17500 | 2 | |
| 84.05177 | 1.02 % | 492.84700 | 0.17043 | 14 | |
| 58.31248 | 0.71 % | 333.41499 | 0.17250 | 4 | |
| 38.51243 | 0.47 % | 222.59000 | 0.17308 | 8 | |
| 35.79968 | 0.44 % | 200.00000 | 0.17900 | 1 | |
| 34.01238 | 0.41 % | 200.00000 | 0.17006 | 2 | |
| 33.97200 | 0.41 % | 191.83200 | 0.17762 | 4 | |
| 23.29000 | 0.28 % | 137.00000 | 0.17000 | 1 | |
| others | 132.99928 | 1.62 % | 765.53400 | 0.18230 | 168 |
| Sum: | 8218.13748 | 100 % | 46454.41514 | 0.17885 | 693 |
Top 10 $LEO 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 $LEO | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| 1088.53347 | 13.25 % | 6010.48188 | 0.17469 | 31 | |
| 1083.18037 | 13.18 % | 6289.40710 | 0.17182 | 24 | |
| 806.04669 | 9.81 % | 4577.99403 | 0.17620 | 32 | |
| 759.92205 | 9.25 % | 4323.40998 | 0.17455 | 19 | |
| 390.00001 | 4.75 % | 2000.00002 | 0.19500 | 2 | |
| 327.13892 | 3.98 % | 1837.85901 | 0.17800 | 1 | |
| 308.71643 | 3.76 % | 1791.39500 | 0.17574 | 22 | |
| 282.90133 | 3.44 % | 1645.58803 | 0.17260 | 18 | |
| 271.70422 | 3.31 % | 1560.01802 | 0.17460 | 24 | |
| 245.72598 | 2.99 % | 1267.81899 | 0.18163 | 11 | |
| 193.74345 | 2.36 % | 1107.89802 | 0.17513 | 3 | |
| 181.47380 | 2.21 % | 1040.20702 | 0.17439 | 8 | |
| 158.88260 | 1.93 % | 849.80200 | 0.19067 | 9 | |
| 135.06273 | 1.64 % | 771.78699 | 0.17500 | 1 | |
| 90.35111 | 1.10 % | 515.99701 | 0.17510 | 1 | |
| 87.69135 | 1.07 % | 515.63201 | 0.17400 | 2 | |
| 87.26797 | 1.06 % | 498.59900 | 0.17508 | 3 | |
| 86.72227 | 1.06 % | 510.00000 | 0.17005 | 5 | |
| 83.36250 | 1.01 % | 476.24901 | 0.17503 | 3 | |
| 66.71067 | 0.81 % | 382.07101 | 0.17272 | 7 | |
| others | 1482.99962 | 18.05 % | 8482.20102 | 0.17542 | 467 |
| Sum: | 8218.13754 | 100 % | 46454.41515 | 0.17554 | 693 |
| Request | Received Hive | Received HIVE % | Sold $LEO | Avg. Price |
|---|---|---|---|---|
| sell | 4657.11333 | 56.67% | 26466.02303 | 0.17398 |
| buy | 3561.02418 | 43.33% | 19988.39210 | 0.17657 |
| sum: | 8218.13751 | 100% | 46454.41513 | 0.17528 |
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 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 @anobel (i.e. from the money, that I earn with these reports here):
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