Statistics For The $POB Token For Week 38 including my diary

in #hive-1503293 months ago

Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2024-09-13 to 2024-09-20:

Who has bought how many $POB at which time:

01_BoughtPobByTime.png

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):
02_TopTenPobBuyers.png

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:
03_CommulatedAmountOfBoughtPob.png

Top 20 $POB Buyers

Sorted by the $HIVE, they have spent:

Buyer(Descending)Sold $HIVE% Sold $HIVEBought $POBAvg. PriceNumber of Trades
@centtoken67.1992537.25 %10412.395930.0063843
@balina32.1079617.80 %4949.625650.0064740
@intacto27.6133415.31 %4439.711730.00626152
@mcbot10.349305.74 %1668.690840.0060549
@god-08.242284.57 %1310.009490.0062522
@anadolu8.145854.52 %1303.336260.0062510
@deepresearch8.113554.50 %1220.000020.0066114
@vocup5.620553.12 %927.070720.006115
@pepe.voter3.016901.67 %470.418400.0064424
@uscrypton2.000001.11 %317.478460.006302
@offgridlife1.959811.09 %302.000000.0064914
@chaosmagic231.471500.82 %227.514670.0064015
@automaton1.296310.72 %200.000000.006464
@sbtofficial0.967320.54 %150.000000.006451
@yintercept0.938500.52 %151.524270.0062732
@irivers0.420620.23 %66.555160.006448
@hivecurious0.340200.19 %54.000000.006301
@richardcrill0.300000.17 %46.873540.006401
@doombot750.120610.07 %18.585720.006492
@god00.113050.06 %18.088470.006251
others0.075290.04 %12.027190.009433
Sum:180.41219100 %28265.906520.00663443

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:
04_CommulatedAmountOfSoldPob.png

Top 20 $POB Sellers

Sorted by the $HIVE, they have got:

Seller(Descending)Earned $HIVE% Earned $HIVESold $POBAvg. PriceNumber of Trades
@intacto43.4850924.10 %6727.259170.0064889
@kryptodenno39.1952521.73 %6039.524900.006492
@mcbot21.3432611.83 %3463.019540.0062640
@cursedellie12.959927.18 %1999.523470.006473
@uscrypton12.810817.10 %2026.544950.006388
@pob.voter9.329685.17 %1495.832460.0062520
@psyberx7.153543.97 %1161.924610.006104
@centtoken6.500003.60 %1000.000000.006502
@anadolu4.125432.29 %615.735470.006701
@xlety3.834052.13 %608.617680.006301
@quduus12.220911.23 %354.458100.006273
@balina1.413960.78 %218.585720.006483
@cryptofiloz1.294170.72 %199.212980.006501
@notconvinced1.089270.60 %172.899540.006303
@god01.028650.57 %160.655540.006433
@mypathtofire0.954390.53 %156.072930.006094
@valentin860.949480.53 %151.899510.006253
@davideownzall0.905900.50 %141.546750.006401
@helios.publisher0.857160.48 %137.307810.006246
@valchiz0.679120.38 %108.654240.006251
others8.282174.59 %1326.631180.00634245
Sum:180.41221100 %28265.906550.00635443

Price Of The $POB

05_PriceOfPob.png

$POB Summarize Metrics

grafik.png

RequestReceived HiveReceived HIVE %Sold $POBAvg. Price
sell111.1342061.60%17586.450620.00625
buy69.2779938.40%10679.455910.00645
sum:180.41219100%28265.906530.00635

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.

01_HivePerToken.png

US-Dollar/Token

Value of $USD compared to some token. Be aware of the nonlinear (root square) y-axes.

02_USDPerToken.png

coinMarketCapChart.png
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:

03_TableOfTokenPrices.png


grafik.png

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 Friday was the funeral of my Father in law.
Saturday my brother and me mowed weeds at our flat. We were visited from this nice guy:
grafik.png
In the evening we had BBQ with our family at home.
Sunday I cooked Paela in the garden, also with my family, so we had a good and lazy weekend.
Tuesday I was in Bonn with my "Green Code Team" and we had very good discussions about how to safe some CO2 with intelligent software solutions.
Here is a book hint:
grafik.png
In the night I slept here:
grafik.png
The next day I went to Würzburg for a meeting with my new team.
I waited more that one hour for my train, which set me out in the middle of nowhere (Bad Breisig). The following train also ended up in nothing. A woman next to me said "I go on by car. Who wants to join me?" so I went with her to Koblenz. There I got by luck a train, which was also too late. I arrived 3 hours to late for my first visit in the Company. 4 hours later I went back. So I sat 13 hours of the day in trains. Germany has been in better conditions (not only with the trains).

The next two weeks there will be no statistics!

Regards,

Achim Mertens