Statistics For The $POB Token For Week 13 including my diary

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Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2025-03-21 to 2025-03-28:

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	217.88108	42.27 %	20509.10288	0.01058	101
@god-0	111.14710	21.56 %	10933.62055	0.01029	35
@centtoken	39.61826	7.69 %	3803.99613	0.01044	104
@helios.publisher	38.98168	7.56 %	3646.37539	0.01063	59
@tatr	25.59981	4.97 %	2195.31866	0.01078	14
@weggesnackt	25.22989	4.89 %	2347.22217	0.01073	6
@vocup	20.50002	3.98 %	2000.00000	0.01025	24
@dswap	10.00000	1.94 %	896.44111	0.01130	13
@mcbot	6.46779	1.25 %	632.04011	0.01039	19
@god0	6.32128	1.23 %	615.74921	0.01027	1
@d2connect	3.36556	0.65 %	325.94698	0.01042	54
@curatorcat.ccc	2.52150	0.49 %	231.41088	0.01090	21
@hafiz34	1.56522	0.30 %	156.96018	0.00993	2
@nastyforce	1.43703	0.28 %	134.93271	0.01065	5
@richardcrill	1.37770	0.27 %	130.33275	0.01051	19
@xsgreen-cook	1.08970	0.21 %	100.00000	0.01090	1
@sbi-tokens	0.99341	0.19 %	103.37221	0.00961	1
@offgridlife	0.65318	0.13 %	60.00000	0.01102	4
@arlenec2021	0.33170	0.06 %	31.03722	0.01064	2
@yintercept	0.21780	0.04 %	22.00000	0.00990	1
others	0.15863	0.03 %	14.87133	0.02117	4
Sum:	515.45834	100 %	48890.73047	0.01101	490

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
@onealfa	97.64397	18.94 %	9539.53953	0.01013	16
@krederi92	70.41517	13.66 %	6715.42050	0.01044	24
@godsorders	66.91296	12.98 %	6021.41916	0.01109	6
@shanhenry	55.15879	10.70 %	5280.88793	0.01039	15
@cursedellie	40.91773	7.94 %	3896.97985	0.01049	56
@mcbot	33.97426	6.59 %	3266.64848	0.01047	12
@d2connect	33.72858	6.54 %	3152.37790	0.01077	101
@anadolu	23.88889	4.63 %	2222.22217	0.01075	1
@helios.publisher	12.74542	2.47 %	1226.75716	0.01046	25
@weggesnackt	12.29433	2.39 %	1101.45187	0.01155	2
@pob.voter	8.12776	1.58 %	782.25399	0.01042	14
@jimmy.adames	7.41850	1.44 %	690.08472	0.01075	1
@uscrypton	5.48375	1.06 %	518.12708	0.01064	5
@flauwy	5.05599	0.98 %	493.26770	0.01025	1
@maxwellmarcusart	4.51930	0.88 %	429.99998	0.01051	2
@dswap	3.83833	0.74 %	364.89839	0.01054	4
@centtoken	3.49692	0.68 %	326.45465	0.01080	10
@resignation	2.94347	0.57 %	268.52499	0.01095	2
@burlarj	2.27357	0.44 %	221.71694	0.01026	2
@keychain.swap	2.16520	0.42 %	208.37236	0.01035	3
others	22.45548	4.36 %	2163.32513	0.01056	188
Sum:	515.45837	100 %	48890.73048	0.01057	490

Price Of The $POB

$POB Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $POB	Avg. Price
sell	414.11005	80.34%	39629.54540	0.01047
buy	101.34830	19.66%	9261.18505	0.01073
sum:	515.45835	100%	48890.73045	0.01060

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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

Last sunday I walked to our 9 km nearby lake "Wehebachtalsperre" which is filled exactly to the "wintertarget".

Then I decided to go on to my little forest and then to go back home. The trip was all in all 27 km. On monday I wasn't able to go only a few steps ;-)

From tuesday to thursday I traveld to Würzburg for a business trip again. We had some very good diskussions with some surprising outcomes about our Identity and Access Management topic.

Achim Mertens

Comments

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