Hello dear Hivers,
here are the:
$SPT Statistics For The Last 7 Days, 2024-04-19 to 2024-04-26:
Who has bought how many $SPT at which time:
Top $SPT Buyers And $HIVE Sellers
The inside of the circle shows the buyers of $SPT, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $SPT):
Commulated Amount Of Bought $SPT Per Person
Top 10 $SPT buyers, how much they got and how much $HIVE they spend for this. Sorted by $HIVE, that was spent:
Top 20 $SPT Buyers
Sorted by the $HIVE, they have spent:
| Buyer(Descending) | Sold $HIVE | % Sold $HIVE | Bought $SPT | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @bronkong | 39.30487 | 36.94 % | 262049.95093 | 0.00015 | 40 |
| @keychain.swap | 26.58000 | 24.98 % | 117052.59332 | 0.00015 | 51 |
| @onlydoge | 20.00000 | 18.79 % | 132538.10773 | 0.00015 | 46 |
| @mcbot | 12.34222 | 11.60 % | 87613.69962 | 0.00014 | 25 |
| @c4cristi3 | 3.32659 | 3.13 % | 14595.11425 | 0.00021 | 40 |
| @mxnsmxn | 2.44084 | 2.29 % | 16926.61257 | 0.00015 | 53 |
| @cryptovisitor | 0.93132 | 0.88 % | 4088.30677 | 0.00019 | 6 |
| @master-lamps | 0.79684 | 0.75 % | 5279.90147 | 0.00015 | 8 |
| @god0 | 0.59446 | 0.56 % | 4291.47966 | 0.00014 | 4 |
| @wellingt550 | 0.09585 | 0.09 % | 638.99983 | 0.00015 | 4 |
| others | 0 | 0.00 % | 0 | 0.00000 | 0 |
| Sum: | 106.41299 | 100 % | 645074.76615 | 0.00018 | 277 |
Commulated Amount Of Sold $SPT Per Person
Top 10 $SPT Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Top 20 $SPT Sellers
Sorted by the $HIVE, they have got:
| Seller(Descending) | Earned $HIVE | % Earned $HIVE | Sold $SPT | Avg. Price | Number of Trades |
|---|---|---|---|---|---|
| @mcbot | 33.16039 | 31.16 % | 221065.16692 | 0.00015 | 5 |
| @onlydoge | 27.82345 | 26.15 % | 122166.68213 | 0.00023 | 3 |
| @elizabeth-22 | 11.63534 | 10.93 % | 77106.27344 | 0.00015 | 1 |
| @keychain.swap | 4.25065 | 3.99 % | 28334.75262 | 0.00015 | 4 |
| @michupa | 3.35978 | 3.16 % | 22264.97461 | 0.00015 | 1 |
| @gank | 2.62893 | 2.47 % | 18118.02637 | 0.00014 | 3 |
| @elderdark | 2.05382 | 1.93 % | 15269.71094 | 0.00014 | 2 |
| @danideuder | 1.99525 | 1.88 % | 13302.54590 | 0.00015 | 1 |
| @alokkumar121 | 1.96977 | 1.85 % | 14121.86877 | 0.00014 | 3 |
| @mango-juice | 1.96005 | 1.84 % | 13417.29739 | 0.00015 | 7 |
| @cryptoyzzy | 1.76706 | 1.66 % | 12064.21631 | 0.00014 | 3 |
| @libertycrypto27 | 1.76186 | 1.66 % | 13078.58087 | 0.00014 | 2 |
| @fieryfootprints | 1.68533 | 1.58 % | 7394.08740 | 0.00023 | 1 |
| @technocrypton | 1.63177 | 1.53 % | 10875.37465 | 0.00015 | 5 |
| @diamonddreamer | 1.61358 | 1.52 % | 11407.43225 | 0.00014 | 5 |
| @s-anjida | 1.02663 | 0.96 % | 6803.35791 | 0.00015 | 1 |
| @master-lamps | 0.80412 | 0.76 % | 3528.92820 | 0.00022 | 2 |
| @zallin.spt | 0.59559 | 0.56 % | 4007.12199 | 0.00015 | 28 |
| @crazyphantombr | 0.54298 | 0.51 % | 3620.11963 | 0.00015 | 1 |
| @martina-sigulin | 0.50642 | 0.48 % | 3355.97388 | 0.00015 | 1 |
| others | 3.64026 | 3.42 % | 23772.27396 | 0.00016 | 198 |
| Sum: | 106.41303 | 100 % | 645074.76614 | 0.00016 | 277 |
Price Of The $SPT
$SPT Summarize Metrics
| Request | Received Hive | Received HIVE % | Sold $SPT | Avg. Price |
|---|---|---|---|---|
| sell | 73.60214 | 69.17% | 495310.16618 | 0.00015 |
| buy | 32.81085 | 30.83% | 149764.59998 | 0.00017 |
| sum: | 106.41299000000001 | 100% | 645074.76616 | 0.00016 |
Comparison With Other Tokens
$HIVE/Token
This figure shows the value of $HIVE compared to some tokens. Be aware of the nonlinear (root square) y-axes.
US-Dollar/Token
Value of $USD compared to some token. Be aware of the nonlinear (root square) y-axes.
Table Of Token Prices in $HIVE and $USD
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.
https://peakd.com/@advertisingbot2/posts?filter=stats
https://peakd.com/@achimmertens
https://github.com/achimmertens
My last Week
I found in one of my newsletters a post about a script, that reads webpages, checks the content with ai and makes a summary of it. It is called "llm-scraper". I got curious and thought, I have to try it out. It took me more time then I wanted, but it was a nice "lessons learned" experience. Here is the result: https://peakd.com/hive-169321/@achimmertens/llm-scraper-installieren-und-ausfuhren-installation-and-running-an-llm-scraper
My ears are much better now. Last friday evening, I was playing Civilisation V and listening to (very loud) cool music and drinking a beer, it made "plop" in my left ear, and a few minutes later in my right ear also. After that I could turn the music quiter, because i was able to hear normal again (yipieeeee).
Yesterday I had a schedule with my ear doctor. She tried to rinse out my ears and since then I am deaf again ;-(
(It's not so worse then before and I have a second scedule).
Life is hard ;-)
(Created with bing)
Regards,
Achim Mertens