Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2024-08-30 to 2024-09-06:

Who has bought how many $POB at which time:

Top $POB Buyers And $HIVE Sellers

The inside of the circle shows the buyers of $POB, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $POB):

Comulated Amount Of Bought $POB Per Person

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

Top 20 $POB Buyers

Sorted by the $HIVE, they have spent:

Buyer(Descending)	Sold $HIVE	% Sold $HIVE	Bought $POB	Avg. Price	Number of Trades
@anadolu	148.82862	29.08 %	21910.12161	0.00681	18
@balina	81.73588	15.97 %	11798.49264	0.00683	175
@mcbot	55.79046	10.90 %	8264.02815	0.00676	94
@sbi-tokens	54.39105	10.63 %	8070.36711	0.00674	7
@shanhenry	47.92199	9.36 %	7376.93651	0.00647	27
@intacto	45.30411	8.85 %	6683.20694	0.00673	327
@uscrypton	16.40000	3.20 %	2456.44324	0.00666	10
@god0	16.20379	3.17 %	2389.03183	0.00675	25
@centtoken	13.60000	2.66 %	2000.00000	0.00680	2
@h3m4n7	10.11995	1.98 %	1512.55026	0.00660	11
@offgridlife	8.78471	1.72 %	1230.00001	0.00698	41
@vocup	4.39585	0.86 %	650.00000	0.00677	2
@bgmoha	2.17467	0.42 %	323.15011	0.00673	6
@richardcrill	1.34261	0.26 %	198.41289	0.00677	6
@yintercept	1.25567	0.25 %	190.59040	0.00680	19
@sbtofficial	1.02867	0.20 %	153.00000	0.00673	10
@god-0	0.64099	0.13 %	93.57555	0.00685	1
@pepe.voter	0.62782	0.12 %	93.84403	0.00669	1
@hivecurious	0.51576	0.10 %	75.29388	0.00685	1
@coffeebuds	0.29828	0.06 %	42.79539	0.00697	1
others	0.41377	0.08 %	60.16871	0.00844	66
Sum:	511.77465	100 %	75572.00926	0.00704	850

Comulated Amount Of Sold $POB Per Person

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

Top 20 $POB Sellers

Sorted by the $HIVE, they have got:

Seller(Descending)	Earned $HIVE	% Earned $HIVE	Sold $POB	Avg. Price	Number of Trades
@sbi-tokens	113.58312	22.19 %	16727.99954	0.00679	4
@intacto	68.55302	13.40 %	9916.13341	0.00683	169
@mcbot	44.38599	8.67 %	6679.40675	0.00681	28
@kryptodenno	41.70465	8.15 %	6099.14326	0.00685	21
@bulkathos	36.38601	7.11 %	5378.49357	0.00682	6
@cursedellie	36.10409	7.05 %	5340.30446	0.00688	56
@friendlymoose	25.63738	5.01 %	3774.98561	0.00685	19
@balina	22.35523	4.37 %	3297.01818	0.00687	67
@michupa	20.82691	4.07 %	3076.56056	0.00683	9
@bhattg	14.68746	2.87 %	2260.30436	0.00650	5
@anadolu	13.19919	2.58 %	1999.87579	0.00660	2
@olujay	12.35964	2.42 %	1830.39613	0.00677	18
@pob.voter	8.84305	1.73 %	1291.90408	0.00672	56
@topbooster	5.45325	1.07 %	799.99999	0.00682	5
@elderdark	5.04624	0.99 %	777.57690	0.00649	1
@maxwellmarcusart	3.40023	0.66 %	500.00002	0.00680	3
@limonta	3.20909	0.63 %	514.17378	0.00627	10
@keychain.swap	2.99053	0.58 %	439.35753	0.00682	14
@bigjammin	2.80755	0.55 %	412.30852	0.00681	12
@flemingfarm	2.59678	0.51 %	346.23737	0.00750	1
others	27.64520	5.40 %	4109.82940	0.00681	344
Sum:	511.77461	100 %	75572.00921	0.00681	850

Price Of The $POB

$POB Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $POB	Avg. Price
sell	267.61150	52.29%	39485.96714	0.00676
buy	244.16312	47.71%	36086.04212	0.00680
sum:	511.77461999999997	100%	75572.00925999999	0.00678

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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 MADE IT!!! For month I was mourning, that I struggle with LLM AI Finetuning: The library dependencies didn't fit, my (and Collab-) hardware was too small, or the solution was too expensive. This week I made the breakthrough. Here I explain how I managed to finetune an LLM via OpenAI. There next thing is to find and prepare some good training data - but that is feasible.
The was also another milestone in my life this week. Last Sunday my wife and me were for the first time without children because they were all out with their partners - new and strange feeling ;-).
Wednesday @ayleensatelier sang in a wonderfull choir:

And on Thursday @ayleensatelier had a market stand in her town Stolberg and could sell her art.

Regards,

Achim Mertens