Hello dear Hivers,

here are the:

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

Who has bought how many $BEER at which time:

Top $BEER Buyers And $HIVE Sellers

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):

Comulated Amount Of Bought $BEER Per Person

Top 10 $BEER buyers, how much they got and how much $HIVE they spend for this. Sorted by $HIVE, that was spent:

Top 20 $BEER Buyers

Sorted by the $HIVE, they have spent:

Buyer(Descending)	Sold $HIVE	% Sold $HIVE	Bought $BEER	Avg. Price	Number of Trades
@borniet	17.89900	55.31 %	100.00000	0.17899	7
@vote-com	3.51136	10.85 %	19.12841	0.18656	12
@methus	3.27322	10.11 %	50.00000	0.06546	4
@castri-ja	2.80140	8.66 %	28.01212	0.12966	3
@intacto	1.51179	4.67 %	23.39570	0.07180	27
@hivecurious	1.48950	4.60 %	15.00000	0.09930	1
@pepentropy	0.65500	2.02 %	10.00000	0.06550	2
@beerlover	0.58800	1.82 %	4.46791	0.13530	4
@god-0	0.35371	1.09 %	5.48638	0.06267	2
@fon	0.16273	0.50 %	1.13400	0.14350	2
@bgmoha	0.06549	0.20 %	1.00000	0.06549	1
@hive103505.pepe	0.04134	0.13 %	0.63125	0.06549	1
@baconface	0.00819	0.03 %	0.12842	0.06266	21
others	0	0.00 %	0	0.00000	0
Sum:	32.36073	100 %	258.38419	0.11103	87

Comulated Amount Of Sold $BEER Per Person

Top 10 $BEER Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:

Top 20 $BEER Sellers

Sorted by the $HIVE, they have got:

Seller(Descending)	Earned $HIVE	% Earned $HIVE	Sold $BEER	Avg. Price	Number of Trades
@intacto	20.41464	63.08 %	114.60856	0.17929	18
@pirulito.zoado	3.28218	10.14 %	30.68475	0.12663	3
@imagenius.dac	1.81218	5.60 %	27.68197	0.06546	2
@olympicdragon	1.51929	4.69 %	23.20795	0.06546	2
@pixelfan	1.48950	4.60 %	15.00000	0.09930	1
@adacardano	1.11021	3.43 %	16.95100	0.06549	5
@master-lamps	0.86490	2.67 %	4.81840	0.17950	1
@mawit07	0.55341	1.71 %	9.11783	0.06208	17
@thedrummerboy	0.34828	1.08 %	5.31726	0.06550	2
@krakonos	0.27541	0.85 %	2.28660	0.11397	3
@dobro2020	0.18013	0.56 %	3.00000	0.06004	3
@kraki	0.10790	0.33 %	0.60282	0.17900	1
@vcelier	0.10063	0.31 %	1.53637	0.06550	2
@kraksport	0.09345	0.29 %	0.52500	0.17800	1
@investinthefutur	0.06451	0.20 %	1.00038	0.06471	7
@stickupcash	0.05073	0.16 %	0.77500	0.06546	1
@asean.hive	0.02319	0.07 %	0.35405	0.06550	1
@milaan	0.01736	0.05 %	0.17500	0.09920	1
@phortun	0.01506	0.05 %	0.25000	0.06023	2
@ieronimus	0.01065	0.03 %	0.12500	0.10187	2
others	0.02709	0.08 %	0.36623	0.09017	12
Sum:	32.36070	100 %	258.38417	0.09584	87

Price Of The $BEER

$BEER Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $BEER	Avg. Price
sell	23.72806	73.32%	191.26653	0.08234
buy	8.63265	26.68%	67.11765	0.14428
sum:	32.36071	100%	258.38418	0.11331

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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.

@advertisingbot2/posts?filter=stats
@achimmertens

https://github.com/achimmertens

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My last Week

I am still struggeling, yes fighting, with the technical issues of 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