Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2024-02-23 to 2024-03-01:

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):

Commulated 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	39.47369	18.37 %	4208.09321	0.00930	38
@watchlist	38.24606	17.79 %	4371.63970	0.00912	65
@richardcrill	31.91140	14.85 %	3405.76541	0.00930	267
@god0	29.70073	13.82 %	3344.69362	0.00902	30
@mcbot	18.65578	8.68 %	2015.11122	0.00917	17
@automaton	15.70729	7.31 %	1510.90253	0.01022	19
@onlyhive	10.02425	4.66 %	1001.59820	0.01001	129
@dswap	8.94529	4.16 %	920.99419	0.00972	26
@vocup	6.95917	3.24 %	726.71847	0.00960	4
@ana-maria	6.64301	3.09 %	729.99999	0.00910	6
@frugal-fun	4.36672	2.03 %	443.77146	0.00978	12
@faireye	1.24332	0.58 %	136.70225	0.00909	14
@yintercept	1.18781	0.55 %	127.42107	0.00932	5
@pepentropy	0.89250	0.42 %	100.00000	0.00893	1
@he-index	0.35077	0.16 %	36.07794	0.00996	45
@hivecurious	0.19910	0.09 %	22.00000	0.00905	1
@pandaparker	0.10921	0.05 %	11.74288	0.00930	2
@vagabondspirit	0.10153	0.05 %	11.00000	0.00923	1
@gtpjfoodbank	0.09308	0.04 %	9.75676	0.00954	1
@buynburn	0.08100	0.04 %	9.00000	0.00900	1
others	0.04193	0.02 %	4.65863	Infinity	1
Sum:	214.93364	100 %	23147.64753	0.00984	685

Commulated 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
@mcbot	27.17135	12.64 %	2838.37797	0.00967	39
@dswap	16.37876	7.62 %	1836.99656	0.00907	14
@watchlist	16.27245	7.57 %	1662.89636	0.00982	77
@god0	15.29920	7.12 %	1496.44596	0.01003	30
@borjan	12.17965	5.67 %	1406.81910	0.00873	3
@vempromundo	12.06757	5.61 %	1298.60817	0.00920	5
@anadolu	11.04208	5.14 %	1115.51106	0.00997	70
@jhelbich	9.48480	4.41 %	987.99978	0.00960	21
@politicalhive	8.36503	3.89 %	892.94999	0.00965	11
@topbooster	7.38402	3.44 %	799.99998	0.00923	9
@taskmaster4450le	7.29643	3.39 %	795.12726	0.00917	7
@kenechukwu97	6.26238	2.91 %	736.65563	0.00883	7
@george-dee	4.77859	2.22 %	539.00000	0.00905	5
@nbarrios67	3.69092	1.72 %	447.28099	0.00863	5
@dsc-r2cornell	3.49528	1.63 %	385.46152	0.00910	5
@michupa	3.43708	1.60 %	422.56648	0.00858	5
@bananasfallers	3.24606	1.51 %	413.32329	0.00838	4
@friendlymoose	2.79218	1.30 %	292.63907	0.00961	3
@syel25	2.37773	1.11 %	261.28904	0.00910	9
@fjworld	2.30270	1.07 %	242.38914	0.00950	1
others	39.60938	18.43 %	4275.31016	0.00935	355
Sum:	214.93364	100 %	23147.64751	0.00934	685

Price Of The $POB

$POB Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $POB	Avg. Price
sell	118.98311	55.36%	13060.67738	0.00931
buy	95.95054	44.64%	10086.97015	0.00976
sum:	214.93365	100%	23147.64753	0.00954

---

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:

---

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

---

@achimmertens/the-results-of-my-charity-research-task-die-ergebnisse-meiner-wohltatigkeitsforschungsaufgabe

Please follow @mukadder.

She and her friends bought toys for children in a women's shelter in Antalya. She emphasized the importance of supporting those in need, especially women and children who have experienced violence and abuse.
You can see her work here: @mukadder/we-are-collecting-toys-for

I allready have send her a small gift via @anobel (i.e. from the money, that I earn with these reports here):

My last Week

This week was very successfull for me. On Monday and Tuesday I had a run and developed a working prototype python tool from scratch. I created a Charity/Hatespeech detector.
It reads some text from Hive, sends this to a trained AI assistant and recieves a category, if there is charity in it or hatespeech or nothing of them.
It is a very beginning, but it works and now I can start showing this to my colleagues.
Details: @achimmertens/how-to-create-an-ai-hive-content-checker-wie-man-einen-ki-hive-text-checker-baut

Regards,

Achim Mertens