Statistics For The $POB Token For Week 41

Hello dear Hivers,

here are the:

$POB Statistics For The Last 7 Days, 2023-10-06 to 2023-10-13:

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

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:
03_CommulatedAmountOfBoughtPob.png

Top 20 $POB Buyers

Sorted by the $HIVE, they have spent:

Buyer(Descending)Sold $HIVE% Sold $HIVEBought $POBAvg. PriceNumber of Trades
@richardcrill253.6178631.67 %14822.067350.0170330
@aldwynfox86179.7475522.44 %9797.506700.0181138
@coffeebuds154.3930619.28 %10695.077760.0147961
@all.coin.hive35.234554.40 %2815.642210.0125742
@realbtcjesus28.146183.51 %2025.276740.014124
@onlydoge23.897672.98 %1838.461290.014478
@onlyhive22.599652.82 %1574.893880.01467149
@ana-maria21.861472.73 %1643.706840.0133616
@automaton15.345531.92 %949.999990.0158212
@god015.051541.88 %1071.421010.0140941
@anadolu13.519311.69 %996.870350.013373
@lxsxl9.158531.14 %637.427890.017439
@lebah7.927580.99 %616.466550.0123819
@centtoken4.049760.51 %284.533270.013776
@airhawk-project3.491960.44 %279.000000.012526
@idoodle3.268760.41 %204.796520.0149432
@hansvonkatte1.832590.23 %132.428760.012983
@emrysjobber1.800000.22 %138.465550.013002
@myanmarkoko1.500000.19 %107.158170.014002
@fjworld0.627000.08 %50.000000.012608
others3.819750.48 %272.450720.0152443
Sum:800.89030100 %50953.651550.01461534

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:
04_CommulatedAmountOfSoldPob.png

Top 20 $POB Sellers

Sorted by the $HIVE, they have got:

Seller(Descending)Earned $HIVE% Earned $HIVESold $POBAvg. PriceNumber of Trades
@god0175.4196321.90 %10813.838700.0156154
@sbi-tokens113.8858614.22 %6778.919920.016801
@mcbot86.2998310.78 %6196.361860.0139324
@richardcrill75.249979.40 %3960.524660.019001
@all.coin.hive59.450727.42 %4246.536620.014002
@coffeebuds39.768134.97 %2229.445560.017373
@lebah32.659944.08 %2402.476600.0137911
@onlydoge27.964573.49 %1754.794440.015928
@centtoken19.583092.45 %1223.880370.0160013
@thecryptolab19.230542.40 %1039.488650.018501
@friendlymoose16.025892.00 %1280.789000.012515
@onlyhive13.699621.71 %795.034710.0169319
@crazyphantombr13.250891.65 %773.990570.017463
@michupa9.546561.19 %599.715710.015893
@keychain.swap7.600050.95 %500.000000.015202
@anadolu7.000000.87 %500.000000.014001
@mayvileros5.837150.73 %366.543360.0159220
@watchlist4.360790.54 %311.529650.014004
@oceanbee4.337970.54 %333.689820.013003
@hansvonkatte3.875530.48 %240.001240.015565
others65.843598.22 %4606.090140.01433351
Sum:800.89032100 %50953.651580.01448534

Price Of The $POB

05_PriceOfPob.png

$POB Summarize Metrics

grafik.png

RequestReceived HiveReceived HIVE %Sold $POBAvg. Price
buy428.5185553.51%25807.052800.01603
sell372.3717646.49%25146.598760.01411
sum:800.89031100%50953.651560.01507

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

HIVE Coinmarketcap rank: 159

grafik.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

grafik.png

Links:
@achimmertens/posts?filter=stats
@anobel
https://github.com/achimmertens


Some More Words

I have worked on my tokenstats code last week. I have added the beerbot statistics. They are automated now also. And they are back. I have left them out in the last weeks, because they are manual work and I didn't had the time to do it. But for the future, they should appear regularly.
I have worked on the timeframe automation. Until now, it was static to 7 days. But when I leave one week out in my statistics, I want to have a 14 days statistics afterwards. This ment to me, that I had to do some manual work in the code. Now I have one place, where I just type in the number of days, for which I want to do the statistics.

I wish you a nice week,

Achim Mertens

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