$POB Statistics For The Last 7 Days, 2025-01-03 to 2025-01-10:

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
@centtoken	167.99664	18.93 %	30679.11187	0.00544	163
@god-0	160.99118	18.14 %	27703.96130	0.00612	15
@shanhenry	117.43303	13.23 %	23486.60589	0.00500	12
@uscrypton	99.41477	11.20 %	16738.37529	0.00616	39
@balina	64.86116	7.31 %	11928.82956	0.00541	136
@vocup	48.20352	5.43 %	7932.12445	0.00612	15
@szati	43.11105	4.86 %	7303.97071	0.00623	18
@disconnect	37.80108	4.26 %	6557.58372	0.00592	246
@anadolu	32.90227	3.71 %	5549.57028	0.00598	17
@hive-173575	27.37237	3.08 %	3833.57547	0.00713	52
@mcbot	22.16115	2.50 %	3774.88276	0.00601	45
@god0	15.59499	1.76 %	2699.64946	0.00608	8
@xsgreen-cook	12.61250	1.42 %	2250.00000	0.00559	5
@sbi-tokens	8.60138	0.97 %	1542.00002	0.00558	11
@edgy-ed-morrison	7.74456	0.87 %	1121.09289	0.00691	7
@hindavi	6.26000	0.71 %	1000.00000	0.00626	1
@pob.voter	4.75991	0.54 %	920.05649	0.00520	3
@vikbuddy	4.44844	0.50 %	834.77231	0.00534	6
@pepentropy	3.76484	0.42 %	700.00000	0.00537	10
@eolianpariah2	1.21255	0.14 %	203.10210	0.00565	3
others	0.27973	0.03 %	47.86818	0.00773	113
Sum:	887.52712	100 %	156807.13275	0.00612	925

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
@centtoken	470.72154	53.04 %	82341.17332	0.00584	160
@mcbot	157.75449	17.77 %	29270.04928	0.00547	160
@cursedellie	56.57433	6.37 %	10108.36728	0.00591	98
@disconnect	49.93545	5.63 %	8243.71864	0.00594	83
@uscrypton	18.04927	2.03 %	3306.20598	0.00543	10
@balina	15.88985	1.79 %	2877.52403	0.00549	24
@underlock	14.39182	1.62 %	2877.95912	0.00500	3
@anadolu	12.20000	1.37 %	1999.99999	0.00630	3
@ifarmgirl	10.34353	1.17 %	1855.19809	0.00581	11
@steemychicken1	9.78418	1.10 %	1956.83535	0.00500	3
@pravesh0	8.85462	1.00 %	1405.42676	0.00630	1
@keychain.swap	5.89598	0.66 %	813.18818	0.00725	2
@josediccus	5.09931	0.57 %	1000.97913	0.00519	4
@ahmedhayat	4.80262	0.54 %	662.00001	0.00726	4
@acesontop	4.02917	0.45 %	768.97581	0.00520	6
@gwajnberg	3.55138	0.40 %	669.00346	0.00530	4
@pob.voter	3.51047	0.40 %	503.38188	0.00700	5
@michupa	3.42797	0.39 %	647.19128	0.00531	4
@baconface	2.62640	0.30 %	420.82887	0.00688	6
@kenechukwu97	1.84088	0.21 %	292.20251	0.00630	1
others	28.24389	3.18 %	4786.92380	0.00589	333
Sum:	887.52715	100 %	156807.13277	0.00589	925

Price Of The $POB

$POB Summarize Metrics

Request	Received Hive	Received HIVE %	Sold $POB	Avg. Price
sell	583.15219	65.71%	103854.75636	0.00575
buy	304.37491	34.29%	52952.37639	0.00594
sum:	887.5271	100%	156807.13275	0.00584

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.

https://peakd.com/@advertisingbot2/posts?filter=stats
https://peakd.com/@achimmertens

https://github.com/achimmertens

My last Week

Last week there was some data missing in my report. I want to apologize for that.
I found out, that it was because one of the Hive nodes was down. This is hard coded in my scripts and I created a 'change-script' to repair it.
Now the connection is switched to another node and since last friday I have all data collected again.
Winter has arrived in Germany. It does not happen that often, that we have snow, but now it is so. With the first snow I get happy as a child. Here is a picture of the fields next to my village: