# NEW SERVICE: Weekly Statistics For The \$SPT Token

Hello friends of \$SPT, Friends of \$HIVE and all others,

I already have created several statistics for Hive based token. But one very important statistic was missing:
\$SPT - The Splinterlands token.

So I started playing Splinterlands to understand a little bit the system - and I started collecting the SPT token data.
Now I can present the stats at least for the last three days.
In the future I'll try to do it weekly on Friday noon, for the last 7 days.

So, for the first time, here are the:

# SPT Statistics for the last week:

The timeframe is from 2021/09/14 - 2021/09/17.

## Bought \$SPT By Time

This figure shows who has bought how many \$SPT at which time:

## Top \$SPT Buyers and \$HIVE Sellers

The inside of the circle shows the buyers of \$SPT, ordered by \$HIVE they have spent. The outside shows the recipients of that \$HIVE (sellers of \$SPT):

## Commulated Amount Of Bought \$SPT Per Person

This figure shows the top 10 \$SPT buyers, how much they got and how much \$HIVE they spend for this. It is sorted by \$HIVE, that was spent:

## Table Of Top 20 \$SPT Buyers

This table shows the top 20 buyers of \$SPT sorted by the \$HIVE, they have spent:

@fedesox1758.620579921000292918.646508861330.01950597155251001
@ahmetay1529.732456206087891855.891518244290.0173090074528405
@easy707501.5850026123225728099.999867200850.01785000041127205
@dynamicrypto340.113480277534118663.3066830430180.01810318443246863
@zugdaze258.148347459733514169.0000464916230.018383044606217973
@enm1209.8029861450195313968.2414550781250.01501999981701374
@rockaholik89.0809774398803750130.017769995145499706
@crypto9er78.230699151754384409.9999427795410.017527996376156808
@jongolson64.334893195424233499.9999917000530.018583746161311865
@shirow-x53.9519901275634829990.0179899949580431
@captainquack2245.308214202523232317.5813255310060.018933316692709923
@lqss6444.7881777286529542917.87849426269530.01584999985061586
@dardrey41.32111024856567427400.015070050023496151
@cryptoram42038.20190270431342200.68055891990660.01734599955379963
@hypnoticpilot26.2774353027343751684.45104980468750.015599999576807022
@followjohngalt23.4449996948242215000.015629999339580536
@kitsuki23.12419986724853515100.015481666506578525
@other179.870476827694810373.2164652757350.017256149110641886

## Commulated Amount Of Sold \$SPT Per Person

This figure shows the top 10 \$SPT Sellers, how much they sold and how much \$HIVE they got for this, sorted by \$HIVE:

## Table Of Top 20 \$SPT Sellers

This table shows the top 20 sellers of \$SPT Sorted by the \$HIVE, they have got:

seller.keyword: DescendingEarned \$HIVESold \$SPTAvg. Price
@jrvacation1633.9696283936599999.998641967770.016375852127869923
@michealb609.5223083496094380000.016040065325796604
@ahmetay573.728397130966232143.266059875490.01786555577483442
@enm1526.484650611877428168.240707397460.018685000017285347
@abh12345470.9095234870910625822.0329589843750.017541291075758636
@laundrywoman318.2701486423611617460.447364330290.018271651739875477
@felipejoys314.722777661401820432.9999942630530.015397277237339453
@monkeydlai230.8499984741211128250.017999999225139618
@cryptomancer194.6545829772949212959.691406250.015020004939287901
@lifeskills-tv191.2655026912689212339.6149749755860.015500064939260483
@dynamicrypto170.2772822964907411048.9060061173510.01569293811917305
@abrockman140.4004688262939580000.01706673639516036
@kobusu114.800031952559956500.0000610351560.017725002020597458
@rentmoney111.446337015368046165.9999698102470.018059333165486652
@unitqm111.333209991455087027.1164550781250.015803436748683453
@chubb14995.723522186279358020.016514141857624055
@polessins92.8006973266601658000.01600011996924877
@freeztag90.66020870208744965.73535156250.018440072238445283
@costanza90.06078832596545086.7105393409730.01762499986216426
@other1877.1950190047412111459.587651672530.016867916772726678

## Price of the \$SPT

This figure shows the price of \$SPT for the last period:

## \$SPT Summarize Metrics

This table shows how much \$HIVE was given by buy-requests, that where equal or higher than the sell order vs. sell-requests, that were equal or lower than the buy order.
If the buy-requests where higher than the sell-requests, then money comes into the system and the value of the token increases.

Under the total line one can see the sum of \$HIVE and sum of \$SPT that changed the ownership and the average price of \$SPT for the last period.

The average price of the token in the picture is wrong, actually it was: 0.017 \$HIVE/\$SPT

Todays value of \$SPT:
The price of \$USD/\$HIVE = 0.75310124 . The price of \$HIVE/\$SPT = 0.01899999 . The price of \$USD/\$SPT = .01430891

# Disclaimer

All stats are without warranty.
They are taken from:

``````curl -XPOST -H "Content-type: application/json" -d '{ "jsonrpc": "2.0", "method": "find", "params": { "contract": "market", "table": "tradesHistory", "query": { "symbol": "SPT"}, "limit":1000, "offset": 0 }, "id": 1 }' 'https://api.hive-engine.com/rpc/contracts'
``````

I have put them into logfiles and uploaded them to Kibana, from which I took the screenshots.
If you find errors, please tell me!
If you want me to continue the stats, give me some good upvotes ;-)

If you want to see other statistics (even from totaly other data), please contact me. I can create them weekly or monthly if I get some rewards for it.

For more details see here: 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.

Here are some more statistics from the tokens I observe: /@achimmertens/posts?filter=stats

Regards, Achim Mertens

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