Statistics For The $POB Token For Week 36 including my diary

in #hive-1503293 months ago

Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2024-08-30 to 2024-09-06:

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
@anadolu148.8286229.08 %21910.121610.0068118
@balina81.7358815.97 %11798.492640.00683175
@mcbot55.7904610.90 %8264.028150.0067694
@sbi-tokens54.3910510.63 %8070.367110.006747
@shanhenry47.921999.36 %7376.936510.0064727
@intacto45.304118.85 %6683.206940.00673327
@uscrypton16.400003.20 %2456.443240.0066610
@god016.203793.17 %2389.031830.0067525
@centtoken13.600002.66 %2000.000000.006802
@h3m4n710.119951.98 %1512.550260.0066011
@offgridlife8.784711.72 %1230.000010.0069841
@vocup4.395850.86 %650.000000.006772
@bgmoha2.174670.42 %323.150110.006736
@richardcrill1.342610.26 %198.412890.006776
@yintercept1.255670.25 %190.590400.0068019
@sbtofficial1.028670.20 %153.000000.0067310
@god-00.640990.13 %93.575550.006851
@pepe.voter0.627820.12 %93.844030.006691
@hivecurious0.515760.10 %75.293880.006851
@coffeebuds0.298280.06 %42.795390.006971
others0.413770.08 %60.168710.0084466
Sum:511.77465100 %75572.009260.00704850

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
@sbi-tokens113.5831222.19 %16727.999540.006794
@intacto68.5530213.40 %9916.133410.00683169
@mcbot44.385998.67 %6679.406750.0068128
@kryptodenno41.704658.15 %6099.143260.0068521
@bulkathos36.386017.11 %5378.493570.006826
@cursedellie36.104097.05 %5340.304460.0068856
@friendlymoose25.637385.01 %3774.985610.0068519
@balina22.355234.37 %3297.018180.0068767
@michupa20.826914.07 %3076.560560.006839
@bhattg14.687462.87 %2260.304360.006505
@anadolu13.199192.58 %1999.875790.006602
@olujay12.359642.42 %1830.396130.0067718
@pob.voter8.843051.73 %1291.904080.0067256
@topbooster5.453251.07 %799.999990.006825
@elderdark5.046240.99 %777.576900.006491
@maxwellmarcusart3.400230.66 %500.000020.006803
@limonta3.209090.63 %514.173780.0062710
@keychain.swap2.990530.58 %439.357530.0068214
@bigjammin2.807550.55 %412.308520.0068112
@flemingfarm2.596780.51 %346.237370.007501
others27.645205.40 %4109.829400.00681344
Sum:511.77461100 %75572.009210.00681850

Price Of The $POB

05_PriceOfPob.png

$POB Summarize Metrics

grafik.png

RequestReceived HiveReceived HIVE %Sold $POBAvg. Price
sell267.6115052.29%39485.967140.00676
buy244.1631247.71%36086.042120.00680
sum:511.77461999999997100%75572.009259999990.00678

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

I MADE IT!!! For month I was mourning, that I struggle with LLM AI Finetuning: The library dependencies didn't fit, my (and Collab-) hardware was too small, or the solution was too expensive. This week I made the breakthrough. Here I explain how I managed to finetune an LLM via OpenAI. There next thing is to find and prepare some good training data - but that is feasible.
The was also another milestone in my life this week. Last Sunday my wife and me were for the first time without children because they were all out with their partners - new and strange feeling ;-).
Wednesday @ayleensatelier sang in a wonderfull choir:
grafik.png
And on Thursday @ayleensatelier had a market stand in her town Stolberg and could sell her art.
grafik.png
grafik.png

Regards,

Achim Mertens

Sort:  

Awesome. I hope to sell all my Hive to buy POB

SBT_Curate.png


Curated by sgt-dan