Hello friends of $ALIVE, Friends of $HIVE and all others,
here are the:
ALIVE Statistics for the last week:
The timeframe is from 2022/08/19 - 2022/08/26.
Bought $ALIVE By Time
This figure shows who has bought how many $ALIVE at which time:
Top $ALIVE Buyers and $HIVE Sellers
The inside of the circle shows the buyers of $ALIVE, ordered by $HIVE they have spent. The outside shows the recipients of that $HIVE (sellers of $ALIVE):
Commulated Amount Of Bought $ALIVE Per Person
This figure shows the top 10 $ALIVE 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 $ALIVE Buyers
This table shows the top ten buyers of $ALIVE sorted by the $HIVE, they have spent:
| buyer.keyword: Descending | Sold $HIVE | Bought $ALIVE | Avg. Price |
|---|---|---|---|
| @chaosmagic23 | 38.16812955169007 | 1994.662092268467 | 0.018711538412250005 |
| @flaxz | 19.36344948038459 | 1142.362803220749 | 0.017278566613401238 |
| @ana-maria | 12.210814766585827 | 689.681999206543 | 0.016975024016574025 |
| @marketroll | 10.497599840164185 | 896 | 0.011070000473409891 |
| @magicbeans | 9.30321153998375 | 599.9991961717606 | 0.014255304722801634 |
| @pixresteemer | 5.828129751782399 | 562.4886013790965 | 0.01266250025946647 |
| @gestion.alive | 3.9134329536464065 | 214.1019979417324 | 0.018236976489424704 |
| @aliveprojects | 3.3651758041232824 | 165.31340432167053 | 0.02159893177449703 |
| @melinda010100 | 3.283489963039756 | 149.9999965429306 | 0.021889929970105488 |
| @dswap | 3.2361975014209747 | 174.14820408821106 | 0.018660826763759058 |
| @invest-time | 2.3537532091140747 | 126.97209930419922 | 0.018943944945931435 |
| @benthomaswwd | 2.267094612121582 | 108.65959930419922 | 0.020939900539815426 |
| @edgerik | 2.18890780210495 | 100 | 0.02188949938863516 |
| @mario89 | 2.1722353459335864 | 183.54679590463638 | 0.0082657572680286 |
| @giono | 1.9557168101891875 | 253.98920714855194 | 0.007699999958276749 |
| @twicejoy | 1.2782247141003609 | 85.22639739513397 | 0.014997989870607853 |
| @ironshield | 1.2365833818912506 | 79.46659779548645 | 0.016999333165585995 |
| @erhan92 | 0.7622737819328904 | 76.22700335085392 | 0.010000050067901611 |
| @curatorcat.leo | 0.7284460328519344 | 38.553801000118256 | 0.01741381858785947 |
| @oscarps | 0.6574953198432922 | 53.1952018737793 | 0.012360050342977047 |
| @other | 1.5684462840436026 | 83.34970000386238 | 0.015214390587061644 |
Commulated Amount Of Sold $ALIVE Per Person
This figure shows the top 10 $ALIVE Sellers, how much they sold and how much $HIVE they got for this, sorted by $HIVE:
Table Of Top 20 $ALIVE Sellers
This table shows the top ten sellers of $ALIVE Sorted by the $HIVE, they have got:
| seller.keyword: Descending | Earned $HIVE | Sold $ALIVE | Avg. Price |
|---|---|---|---|
| @imagenius.dac | 28.686104893684387 | 1622.9716129302979 | 0.017618207091634922 |
| @roger.remix | 28.113790852949023 | 1408.8985998630524 | 0.02108200155198574 |
| @jlufer | 12.93687138846144 | 794.7571072876453 | 0.01692985915220701 |
| @magicbeans | 9.045615966431797 | 497.96100026369095 | 0.018669556493737867 |
| @marketroll | 8.57778936624527 | 796.1194953918457 | 0.014905720283942563 |
| @threespeak | 6.294321060180664 | 316.77508544921875 | 0.019869999960064888 |
| @onlydoge | 5.393904050812125 | 280.6719982624054 | 0.020876833237707615 |
| @hive.pizza | 4.911892056465149 | 632.9730072021484 | 0.00774999987334013 |
| @ph1102 | 4.475633144378662 | 204.46109771728516 | 0.021889900788664818 |
| @dswap | 3.1965159848332405 | 262.44919860363007 | 0.012499022530391812 |
| @wine-cellar | 2.1460535898804665 | 130.85679960250854 | 0.016400012653321028 |
| @masoom | 2.1216092109680176 | 106.77449798583984 | 0.019869999960064888 |
| @sydney.potts | 1.988119125366211 | 161.1114959716797 | 0.012340020388364792 |
| @erhan92 | 1.142359800869599 | 76.16739763319492 | 0.014998500002548099 |
| @fefe.dev | 0.8170061707496643 | 37.13850021362305 | 0.021998900920152664 |
| @khan.dayyanz | 0.7432247027754784 | 60.13120174407959 | 0.01236005499958992 |
| @ironshield | 0.7122023105621338 | 35.627899169921875 | 0.019990000873804092 |
| @gank | 0.7092320919036865 | 42.72480010986328 | 0.01660001091659069 |
| @faireye | 0.6440368294715881 | 34.812801361083984 | 0.01850000023841858 |
| @silvertop | 0.6172221302986145 | 50.018001556396484 | 0.01233999989926815 |
| @other | 3.065303719660733 | 224.54309990257025 | 0.014087736086152932 |
Price of the $ALIVE
This figure shows the price of $ALIVE for the last period:
$ALIVE 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 $ALIVE that changed the ownership and the average price of $ALIVE for the last period.
The average price of the token in the picture is wrong, actually it was: 0.016 $HIVE/$ALIVE
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.
origin
Rank: 127
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": "ALIVE"}, "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: https://peakd.com/@achimmertens/posts?filter=stats
Regards, Achim Mertens
