Hello dear Hivers,

here are the:

$SPT Statistics For The Last 7 Days, 2024-08-16 to 2024-08-23:

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):

Comulated 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
@kikero	333.58543	93.36 %	2304599.23548	0.00015	272
@god-0	14.39908	4.03 %	89914.59112	0.00016	48
@mcbot	3.97728	1.11 %	25345.29149	0.00015	112
@hive-103505	2.27707	0.64 %	11677.86035	0.00019	1
@mxnsmxn	1.46876	0.41 %	9907.11892	0.00014	59
@panosdada	0.92500	0.26 %	5000.00000	0.00018	1
@god0	0.28021	0.08 %	1765.14131	0.00016	2
@he-index	0.21879	0.06 %	1169.82619	0.00021	52
@metronet	0.15405	0.04 %	837.25116	0.00018	1
@sbtofficial	0.02530	0.01 %	115.00000	0.00022	1
@onlydoge	0.00529	0.00 %	44.10801	0.00012	14
@baconface	0.00002	0.00 %	0.20401	0.00012	1
others	0	0.00 %	0	0.00000	0
Sum:	357.31628	100 %	2450375.62804	0.00018	564

Comulated 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
@cursedellie	231.65866	64.83 %	1636467.59338	0.00014	48
@uscrypton	63.57939	17.79 %	418273.02051	0.00015	36
@god0	27.65520	7.74 %	188373.44440	0.00015	25
@gank	12.02292	3.36 %	61118.12841	0.00022	23
@konaqua	2.74043	0.77 %	22835.00781	0.00012	1
@onlydoge	2.57958	0.72 %	16363.20780	0.00015	3
@arpuch	2.48118	0.69 %	15513.17969	0.00016	1
@zallin.spt	1.55667	0.44 %	10420.45094	0.00015	36
@alokkumar121	1.55437	0.44 %	9475.53906	0.00016	1
@dorian-lee	1.44759	0.41 %	9040.64615	0.00016	2
@yonilkar	1.05168	0.29 %	5684.74363	0.00018	15
@mango-juice	1.01567	0.28 %	7175.50830	0.00015	2
@eddiespino	0.97872	0.27 %	5758.87640	0.00017	2
@relf87	0.79703	0.22 %	5003.01025	0.00016	1
@danideuder	0.77309	0.22 %	5151.95764	0.00015	3
@pedrobrito2004	0.62799	0.18 %	3959.79763	0.00015	7
@bgmoha	0.50000	0.14 %	3333.55560	0.00015	5
@dswap	0.41842	0.12 %	2713.87109	0.00015	1
@mightyrocklee	0.39643	0.11 %	3195.47049	0.00014	8
@gameexp	0.37977	0.11 %	2619.08301	0.00014	1
others	3.10154	0.87 %	17899.53584	0.00018	343
Sum:	357.31633	100 %	2450375.62803	0.00017	564

Price Of The $SPT

$SPT Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $SPT	Avg. Price
sell	333.39448	93.31%	2317656.95665	0.00015
buy	23.92182	6.69%	132718.67138	0.00021
sum:	357.3163	100%	2450375.6280300003	0.00018

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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.

Origin

Table Of Token Prices in $HIVE and $USD

Average value of the prices of the token. Hive and US-Dollar compared to the token:

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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

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My last Week

I am still struggeling, yes fighting, with the technical issues aof finetuning an Large Language Model. There are lots of videos on youtube, how to finetune an LLM, but they don't work on my side. Either the resources in the collab jupyter notebook are not enough (10% before the end), or my harddisk is to small (I have now a bigger one) or the dependencies of the libraries are meshed. The fight is still ongoing. And am only satisfied, when I am able to give my model some trainingdata and after learning that, it is able to generate usable answers for my charity- and green code questions.

Regards,

Achim Mertens