Hello dear Hivers,
here are the:
The inside of the circle shows the buyers of $BEER, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $BEER):
Top 10 $BEER 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 $BEER | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| 4.65207 | 75.10 % | 30.91537 | 0.15035 | 19 | |
| 1.30583 | 21.08 % | 25.34110 | 0.05203 | 22 | |
| 0.23634 | 3.82 % | 4.62875 | 0.05106 | 1 | |
| 0.00015 | 0.00 % | 0.00300 | 0.05105 | 1 | |
| others | 0 | 0.00 % | 0 | 0.00000 | 0 |
| Sum: | 6.19439 | 100 % | 60.88822 | 0.10150 | 43 |
Top 10 $BEER 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 $BEER | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| 1.91051 | 30.84 % | 12.64661 | 0.15056 | 2 | |
| 1.30350 | 21.04 % | 8.68999 | 0.15056 | 2 | |
| 1.04940 | 16.94 % | 6.99736 | 0.14998 | 5 | |
| 0.63825 | 10.30 % | 12.50000 | 0.05106 | 2 | |
| 0.37120 | 5.99 % | 7.26983 | 0.05106 | 1 | |
| 0.18133 | 2.93 % | 1.20000 | 0.15111 | 1 | |
| 0.16105 | 2.60 % | 3.03866 | 0.05300 | 1 | |
| 0.10850 | 1.75 % | 2.12500 | 0.05106 | 1 | |
| 0.09628 | 1.55 % | 0.64187 | 0.15000 | 1 | |
| 0.08510 | 1.37 % | 0.56730 | 0.15000 | 3 | |
| 0.06956 | 1.12 % | 1.31250 | 0.05300 | 1 | |
| 0.06383 | 1.03 % | 1.25000 | 0.05106 | 1 | |
| 0.05968 | 0.96 % | 1.12605 | 0.05300 | 1 | |
| 0.02099 | 0.34 % | 0.39600 | 0.05300 | 1 | |
| 0.02066 | 0.33 % | 0.40453 | 0.05106 | 1 | |
| 0.01228 | 0.20 % | 0.24040 | 0.05106 | 1 | |
| 0.00891 | 0.14 % | 0.10000 | 0.07677 | 4 | |
| 0.00795 | 0.13 % | 0.15000 | 0.05300 | 1 | |
| 0.00756 | 0.12 % | 0.05000 | 0.15111 | 1 | |
| 0.00715 | 0.12 % | 0.04731 | 0.15111 | 1 | |
| others | 0.01073 | 0.17 % | 0.13480 | 0.08757 | 11 |
| Sum: | 6.19442 | 100 % | 60.88821 | 0.09132 | 43 |
| Request | Received Hive | Received HIVE % | Sold $BEER | Avg. Price |
|---|---|---|---|---|
| sell | 5.11893 | 82.64% | 53.68344 | 0.08666 |
| buy | 1.07547 | 17.36% | 7.20478 | 0.12856 |
| sum: | 6.1944 | 100% | 60.88822 | 0.10761 |
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
The last week was my hardest week since lots of month. I traveld to my company in Bonn. On Monday and Tuesday I joined an AI Barcamp. We learned about how to finetune an AI chatbot, how we can automate unit-tests, working with the github pilot and what does our internal "askT" chatbot is able to do.
Tuesday Evening ended with a nice dinner:
Wednesday and thursday I also stayed in Bonn for working in a hackathon. This means, we got a challenge and had one and a half days to solve it. It was not in competition to others, but to show the management, that we are able to work together and come to a point that we can use to start working on in the next months. And as it looks like, we reached the goal and get the budget to continue :-D.
We lived in the best hotel in place (Steigenberger Grandhotel on the Petersberg in Königswinter), here is an outview from our lunchroom:
Yesterday I traveled back, fully exhausted, but happy with the results.
Regards,
Achim Mertens