Hello friends of $SIM, Friends of $HIVE and all others,
here are the:
SIM Statistics for the last two weeks (due to my holliday):
The timeframe is from 2021/10/08 - 2021/10/22.
Bought $SIM By Time
This figure shows who has bought how many $SIM at which time:
Top $SIM Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $SIM, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $SIM):
Commulated Amount Of Bought $SIM Per Person
This figure shows the top 10 $SIM 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 $SIM Buyers
This table shows the top ten buyers of $SIM sorted by the $HIVE, they have spent:
| buyer.keyword: Descending | Sold $HIVE | Bought $SIM | Avg. Price |
|---|---|---|---|
| @pi-trader | 2303.504077931818 | 2469321.810604808 | 0.0009461747302504426 |
| @steemshiro | 1505.4185959085817 | 1530167.5975647583 | 0.0009895120048895479 |
| @frugal-fun | 1048.7177564718322 | 1010224.1470249849 | 0.001015271075190075 |
| @jelly-cz | 739.6230190566755 | 761960.3434755176 | 0.0009593948712930656 |
| @konvik | 686.3145497819469 | 706684.5225695802 | 0.0009570255181109853 |
| @svirus | 655.5581617355347 | 673166.5947265625 | 0.0009718729881569744 |
| @d-pend | 505.43971108091796 | 533821.9047768096 | 0.0009540816322349164 |
| @xzer0 | 455.0000006571331 | 499999.999871186 | 0.000910000002477318 |
| @solovey6o2 | 381.7176863976557 | 389150.25092990114 | 0.0009771630991183753 |
| @jelly13 | 375.29399970855593 | 397800.0023256339 | 0.0009634374619715594 |
| @dkid14 | 277.2315207110352 | 279489.93910477334 | 0.000987821377027009 |
| @wizzitywillican | 253.28778056672957 | 254949.67556163447 | 0.0009976050234399736 |
| @thegoliath | 207.37355726278906 | 199999.99987524457 | 0.0010162744405938105 |
| @mchero | 182.3764550711494 | 190774.18648910522 | 0.0009561584626611036 |
| @boycharliefamily | 180.65813200005596 | 191219.1449277494 | 0.0009304733331581312 |
| @juanmiguelsalas | 168.28192129079252 | 161811.0003066063 | 0.0010395959950983524 |
| @dustindivitto | 149.61733647834149 | 154000.0004747318 | 0.0009715695875153566 |
| @cardi0 | 141.24163264179464 | 140291.49573804007 | 0.0009736194301189648 |
| @pokerarema | 130.9585633277893 | 142219.2822265625 | 0.0009087549988180399 |
| @lcity | 117.72151475772262 | 118766.7547340393 | 0.0009924975311150774 |
| @other | 1554.3914324039888 | 1569749.7841784554 | 0.0009854345598567214 |
Commulated Amount Of Sold $SIM Per Person
This figure shows the top 10 $SIM Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $SIM Sellers
This table shows the top ten sellers of $SIM Sorted by the $HIVE, they have got:
| seller.keyword: Descending | Earned $HIVE | Sold $SIM | Avg. Price |
|---|---|---|---|
| @d-pend | 1061.2680088281631 | 1092000.0020751953 | 0.0009720422288713356 |
| @konvik | 1003.3520849732017 | 995724.1689023443 | 0.0010039554996183141 |
| @pi-trader | 765.2394039679066 | 774407.7354793642 | 0.0009938912116922438 |
| @sallhiddles | 490.1978073120117 | 530208.6533203125 | 0.0009270453771862846 |
| @svirus | 489.17488553002477 | 496378.0229187012 | 0.0010010300098829681 |
| @solovey6o2 | 477.49374966934556 | 457488.83630371094 | 0.001035626672532861 |
| @genet | 458.75145134233844 | 458489.84351190226 | 0.0010113141858406987 |
| @manoldonchev | 297.389122903347 | 312803.3790664673 | 0.0009574628562577779 |
| @jrcornel | 292.97679728269577 | 309093.9990234375 | 0.0009484863135424492 |
| @pixaroma | 273 | 300000 | 0.000910000002477318 |
| @mchero | 251.94516921043396 | 238155.9291381836 | 0.0010461538421133389 |
| @scriptioner | 241.4719352722168 | 257409.56640625 | 0.0009401025017723441 |
| @eythorphoto | 220.0448584080932 | 235206.07047766075 | 0.0009407533410315713 |
| @solominer | 215.18869513554682 | 217362.3174999999 | 0.0009899999713525176 |
| @balte | 213.94128927588463 | 225000.00003051758 | 0.0009561078539783401 |
| @taitux | 202.90305541455746 | 209994.7922668457 | 0.0009730717359596621 |
| @velourex | 194.07677960395813 | 204508.40625 | 0.0009533340111374855 |
| @desyfit | 186.93051105737686 | 199999.9949645996 | 0.0009354999987408519 |
| @benhaleymade | 174.15191650390625 | 177706.03125 | 0.000980000011622905 |
| @themightyvolcano | 170.5654143281281 | 178200 | 0.0009531154593622142 |
| @other | 4339.664469223703 | 4505430.688601192 | 0.0009641952836197047 |
Price of the $SIM
This figure shows the price of $SIM for the last period:
$SIM 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 $SIM that changed the ownership and the average price of $SIM for the last period.
The average price of the token in the picture is wrong, actually it was: 0.001 $HIVE/$SIM
Comparison With Other Tokens
$HIVE/Token
This figure shows the value of $HIVE compared to some token for the last period. Be aware of the nonlinear (root square) y-axes.
US-Dollar/Token
This figure shows the value of $USD compared to some token for the last period. Be aware of the nonlinear (root square) y-axes.
Table Of Token Prices in $HIVE and $USD
This table shows the average value of the prices of the token for the last period. One can see Hive and the US-Dollar compared to the token.
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": "SIM"}, "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 the stats from the other tokens I observe: @achimmertens/posts?filter=stats
Regards, Achim Mertens