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 |
|---|---|---|---|---|---|
| 18.05863 | 23.34 % | 1386.15240 | 0.01315 | 65 | |
| 16.76600 | 21.67 % | 1083.27670 | 0.01529 | 29 | |
| 16.06873 | 20.77 % | 1634.55427 | 0.00981 | 10 | |
| 12.22427 | 15.80 % | 942.95061 | 0.01380 | 18 | |
| 8.50715 | 11.00 % | 843.78210 | 0.01004 | 68 | |
| 2.91147 | 3.76 % | 297.31670 | 0.00981 | 9 | |
| 1.53490 | 1.98 % | 155.08970 | 0.00988 | 7 | |
| 1.28047 | 1.66 % | 106.10270 | 0.01213 | 5 | |
| 0.01225 | 0.02 % | 1.25070 | 0.00981 | 3 | |
| others | 0 | 0.00 % | 0 | 0.00000 | 0 |
| Sum: | 77.36387 | 100 % | 6450.47588 | 0.01152 | 214 |
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 |
|---|---|---|---|---|---|
| 17.35359 | 22.43 % | 1182.70999 | 0.01462 | 30 | |
| 10.42837 | 13.48 % | 734.08121 | 0.01374 | 18 | |
| 10.37195 | 13.41 % | 1051.34377 | 0.01207 | 3 | |
| 5.29417 | 6.84 % | 339.10710 | 0.01526 | 9 | |
| 5.02320 | 6.49 % | 420.00001 | 0.01196 | 2 | |
| 3.87878 | 5.01 % | 394.12800 | 0.00985 | 4 | |
| 3.46429 | 4.48 % | 350.17420 | 0.00988 | 7 | |
| 2.29086 | 2.96 % | 233.97411 | 0.00979 | 2 | |
| 1.82040 | 2.35 % | 185.92590 | 0.00979 | 1 | |
| 1.68397 | 2.18 % | 145.55810 | 0.01192 | 13 | |
| 1.49400 | 1.93 % | 96.00000 | 0.01563 | 4 | |
| 1.24398 | 1.61 % | 85.97240 | 0.01464 | 3 | |
| 1.09842 | 1.42 % | 112.13450 | 0.00984 | 6 | |
| 1.04615 | 1.35 % | 106.12110 | 0.00982 | 3 | |
| 1.03720 | 1.34 % | 103.62160 | 0.01100 | 5 | |
| 0.95735 | 1.24 % | 97.77790 | 0.00979 | 2 | |
| 0.95627 | 1.24 % | 97.12900 | 0.00985 | 2 | |
| 0.90858 | 1.17 % | 91.38270 | 0.01043 | 10 | |
| 0.86154 | 1.11 % | 60.05720 | 0.01453 | 3 | |
| 0.79078 | 1.02 % | 79.43840 | 0.00995 | 1 | |
| others | 5.36005 | 6.93 % | 483.83870 | 0.01079 | 86 |
| Sum: | 77.36390 | 100 % | 6450.47589 | 0.01106 | 214 |
| Request | Received Hive | Received HIVE % | Sold $ALIVE | Avg. Price |
|---|---|---|---|---|
| buy | 43.67636 | 56.46% | 3085.71671 | 0.01409 |
| sell | 33.68752 | 43.54% | 3364.75917 | 0.01062 |
| sum: | 77.36388 | 100% | 6450.47588 | 0.01235 |
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
This week was mainly consumed with the try to connect the IGA server "Midpoint" with the Access Manager "Keycloak". I need this know how for my work. So I tried hard to connect both, but it didn't work. So my next step was to install an MCP (Model Context Protokoll) server, to get VSCode to investigate my local website to help me find the error. I went a long way, but in the end it turned out, that VScode can do this already, without MCP :-|
So, I have learned a lot this week, but didn't get results. :-|
I also helped a young student from the "effective Altruists" in Aachen to start a developing project.
Achim Mertens