Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2024-06-07 to 2024-06-14:

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
@mcbot	43.11088	27.01 %	6101.77158	0.00705	212
@lvr-docudrama	29.46906	18.46 %	3883.40511	0.00751	15
@anadolu	23.32616	14.62 %	3114.68556	0.00720	11
@god0	18.33857	11.49 %	2618.46386	0.00700	43
@pepentropy	9.16440	5.74 %	1160.00001	0.00771	26
@uscrypton	8.79922	5.51 %	1130.22114	0.00759	24
@deepresearch	6.62200	4.15 %	946.00000	0.00700	1
@balina	6.43073	4.03 %	919.58041	0.00700	61
@yintercept	5.15605	3.23 %	735.40175	0.00718	55
@vocup	3.42536	2.15 %	491.47976	0.00732	22
@onlydoge	3.38641	2.12 %	497.96782	0.00700	2
@he-index	0.81529	0.51 %	109.52021	0.00750	57
@irivers	0.46370	0.29 %	66.34521	0.00696	5
@watchlist	0.42090	0.26 %	60.00000	0.00702	2
@preciousgold	0.30228	0.19 %	44.00000	0.00687	1
@dantrin	0.14780	0.09 %	20.00000	0.00739	2
@buynburn	0.14743	0.09 %	21.24374	0.00694	6
@sbtofficial	0.06988	0.04 %	9.88446	0.00707	5
others	0	0.00 %	0	0.00000	0
Sum:	159.59612	100 %	21929.97062	0.00761	550

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
@anadolu	32.34563	20.27 %	4394.44349	0.00749	36
@opidia	13.98143	8.76 %	2056.06486	0.00680	10
@god0	13.96893	8.75 %	1848.42308	0.00723	9
@wongi	10.55674	6.61 %	1512.62740	0.00695	11
@mcbot	10.35896	6.49 %	1376.31002	0.00715	10
@gwajnberg	9.08152	5.69 %	1135.18958	0.00800	1
@hiro-hive	8.06779	5.06 %	1168.05428	0.00694	7
@davedickeyyall	6.21136	3.89 %	828.18140	0.00750	1
@pob.voter	6.06315	3.80 %	824.42163	0.00724	10
@pepentropy	5.75087	3.60 %	809.98181	0.00710	1
@shanhenry	4.01546	2.52 %	542.00000	0.00736	6
@onlydoge	3.78279	2.37 %	497.74143	0.00760	3
@edystringz	2.51361	1.57 %	355.52689	0.00707	1
@kenechukwu97	2.35113	1.47 %	326.53135	0.00720	2
@marianaemilia	2.27782	1.43 %	258.84311	0.00880	1
@xlety	1.93073	1.21 %	279.82058	0.00690	4
@dwixer	1.90519	1.19 %	270.23761	0.00705	1
@eddiespino	1.66676	1.04 %	245.10992	0.00680	1
@buiitre	1.31649	0.82 %	187.26678	0.00703	1
@katharsisdrill	1.13672	0.71 %	151.56279	0.00750	1
others	20.31301	12.73 %	2861.63257	0.00721	433
Sum:	159.59609	100 %	21929.97058	0.00722	550

Price Of The $POB

$POB Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $POB	Avg. Price
sell	93.98180	58.89%	13176.73284	0.00707
buy	65.61430	41.11%	8753.23778	0.00744
sum:	159.5961	100%	21929.97062	0.00726

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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

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