<html> <p>Steemits internal market is used on a daily basis. For many the transaction is simple. SBD earned as post rewards is converted to STEEM. However for some, the internal market is used to trade SBD/STEEM on a daily basis. </p> <p>One of the benefits of using the internal market is zero cost. Unlike other exchanges, there is no cost in using Steemits internal market to trade. But there is also some drawbacks. One of which is the lack of visualisations. The Steemit internal market only shows Market Depth, open orders and a limited view of recent closed orders.</p> <p>To address this issue of lack of visualisations and to aid those that wish to trade SBD/STEEM on the internal market, I have devised some visualisation which I intend on sharing daily.</p> <p>Over time I hope to improve on this report by adding more analytics that will aid in your decision making.</p> <p>Snapshot taken 14:45 AM GMT 17 Mar. 18. Time shown GMT</p> <p>You can view an interactive version of this report here</p> <p>https://app.powerbi.com/view?r=eyJrIjoiZTRkOTE5MjYtOWY2OC00ODYyLThjM2YtN2ZhNDgwNTFlYjI3IiwidCI6ImRhZWNkYWM0LTYyNjgtNGQyNy05Nzk0LWFiMjA0ODdkZTgyNyIsImMiOjh9</p> <p>1 Jan ‘18 to Present – Daily Spread, Average Daily Exch. Rate, Daily SBD Volume</p> <p>https://steemitimages.com/DQmUX3RkiMAQQ4dSA21AjTf7QNDKGdYEFQnErAJzfCPVXH8/image.png</p> <p><br></p> <p>Yesterday 15 min Average Exch. Rate and SBD Volume</p> <p>https://steemitimages.com/DQmbebuwroDF2D7uxJ2YktQUtdZ5upCrpGXuBmysnh5V3rj/image.png</p> <p> </p> <p>Today 15 min Average Exch. Rate and SBD Volume</p> <p> https://steemitimages.com/DQmeSCkzCcg1tRKABad7XtL5CCUAF8RFUMJSXXDe23ZdEwc/image.png</p> <p><br></p> <p>1 Jan ‘18 to Present –Average 1h Exch. Rate</p> <p>https://steemitimages.com/DQmV5PHGS3jEwyLgqSQDGb4jXHk8N8kFqVzpF8byG4JVZqc/image.png</p> <p><br></p> <p>10 Day– Average 1h Exch. Rate</p> <p> https://steemitimages.com/DQmPpd1r3zkYK7pXxUA9EjVqWqSumJU2h411CjjUe8WKo1K/image.png</p> <p><br></p> <p>Yesterday – Average 1h Exch. Rate</p> <p> https://steemitimages.com/DQmVzQbFGhf2BHfsLC3wiMwJhCLZYhxou6cuRuexsowr25e/image.png</p> <p><br></p> <p>Today – Average 1h Exch. Rate</p> <p> https://steemitimages.com/DQmdJyY1PabegGL2vULKJCiRFQ9b85RgeEFVZU3iLqNqC5L/image.png</p> <p><br></p> <p><br></p> <p><br></p> </html>
author | paulag |
---|---|
permlink | visualizing-steemit-internal-market-17-march-18-blockchain-business-intelligence |
category | steemit |
json_metadata | {"tags":["steemit","sbd","cryptocurrency","blockchainbi","stats"],"image":["https://steemitimages.com/DQmUX3RkiMAQQ4dSA21AjTf7QNDKGdYEFQnErAJzfCPVXH8/image.png","https://steemitimages.com/DQmbebuwroDF2D7uxJ2YktQUtdZ5upCrpGXuBmysnh5V3rj/image.png","https://steemitimages.com/DQmeSCkzCcg1tRKABad7XtL5CCUAF8RFUMJSXXDe23ZdEwc/image.png","https://steemitimages.com/DQmV5PHGS3jEwyLgqSQDGb4jXHk8N8kFqVzpF8byG4JVZqc/image.png","https://steemitimages.com/DQmPpd1r3zkYK7pXxUA9EjVqWqSumJU2h411CjjUe8WKo1K/image.png","https://steemitimages.com/DQmVzQbFGhf2BHfsLC3wiMwJhCLZYhxou6cuRuexsowr25e/image.png","https://steemitimages.com/DQmdJyY1PabegGL2vULKJCiRFQ9b85RgeEFVZU3iLqNqC5L/image.png"],"links":["https://app.powerbi.com/view?r=eyJrIjoiZTRkOTE5MjYtOWY2OC00ODYyLThjM2YtN2ZhNDgwNTFlYjI3IiwidCI6ImRhZWNkYWM0LTYyNjgtNGQyNy05Nzk0LWFiMjA0ODdkZTgyNyIsImMiOjh9"],"app":"steemit/0.1","format":"html"} |
created | 2018-03-17 15:03:45 |
last_update | 2018-03-17 15:03:45 |
depth | 0 |
children | 9 |
last_payout | 2018-03-24 15:03:45 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 13.276 HBD |
curator_payout_value | 3.212 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 2,367 |
author_reputation | 274,264,287,951,003 |
root_title | "Visualizing STEEMIT Internal Market 17 March ‘18 – BlockChain Business Intelligence" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 44,968,892 |
net_rshares | 4,789,071,241,977 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
wackou | 0 | 763,520,797,974 | 9% | ||
nanzo-scoop | 0 | 372,276,281,129 | 10% | ||
acidyo | 0 | 2,368,140,867,932 | 15% | ||
mummyimperfect | 0 | 6,089,516,357 | 10% | ||
ak2020 | 0 | 2,226,743,732 | 10% | ||
meesterboom | 0 | 95,783,996,482 | 10% | ||
lenatramper | 0 | 13,798,139,928 | 15% | ||
mattclarke | 0 | 36,388,206,218 | 52% | ||
etcmike | 0 | 16,358,503,678 | 5% | ||
leoplaw | 0 | 15,734,187,749 | 100% | ||
abh12345 | 0 | 177,569,810,703 | 50% | ||
boxcarblue | 0 | 151,792,049,665 | 50% | ||
triverse | 0 | 2,901,494,147 | 15% | ||
arfa | 0 | 325,228,652 | 1.5% | ||
j3dy | 0 | 20,438,634,888 | 100% | ||
mafeeva | 0 | 7,967,432,770 | 10% | ||
freebornsociety | 0 | 4,544,753,157 | 10% | ||
hiimamazing | 0 | 334,652,431 | 15% | ||
artjom13 | 0 | 592,452,053 | 100% | ||
rt395 | 0 | 38,774,201,188 | 25% | ||
kubbyelizabeth | 0 | 3,671,927,712 | 15% | ||
lexiconical | 0 | 157,612,680 | 33% | ||
robertvogt | 0 | 3,120,853,407 | 12% | ||
crimsonclad | 0 | 7,016,599,337 | 8% | ||
gokulnk | 0 | 6,826,559,973 | 100% | ||
paulag | 0 | 20,948,421,305 | 100% | ||
jwolf | 0 | 2,084,057,756 | 1.5% | ||
talltim | 0 | 18,297,258,159 | 100% | ||
steemitbc | 0 | 76,546,511,801 | 100% | ||
inquiringtimes | 0 | 250,062,186,004 | 100% | ||
iamrifk | 0 | 225,532,694 | 15% | ||
elsurtidor | 0 | 28,907,450,483 | 34% | ||
irwanumpal | 0 | 16,579,557,586 | 100% | ||
jasonbu | 0 | 9,472,779,099 | 35% | ||
nettybot | 0 | 5,630,598,822 | 10% | ||
matrixonsteem | 0 | 619,146,176 | 100% | ||
steemitph | 0 | 57,624,940,982 | 50% | ||
steemliberator | 0 | 795,335,932 | 100% | ||
debraycodes | 0 | 2,366,646,345 | 100% | ||
msp3k | 0 | 6,273,021,894 | 100% | ||
witnessstats | 0 | 618,655,038 | 100% | ||
crokkon | 0 | 26,168,804,862 | 100% | ||
zeinmalik | 0 | 377,532,361 | 100% | ||
americanrabbit | 0 | 120,951,578 | 30% | ||
eastmael | 0 | 42,170,354,964 | 50% | ||
revisesociology | 0 | 15,454,181,603 | 30% | ||
r2steem2 | 0 | 654,234,040 | 100% | ||
steemcreate | 0 | 647,427,928 | 100% | ||
rawdawg | 0 | 12,399,200,601 | 100% | ||
zazelpop | 0 | 208,151,907 | 15% | ||
christianschmidt | 0 | 1,705,645,598 | 15% | ||
citizensmith | 0 | 297,643,937 | 10% | ||
josephsavage | 0 | 2,290,823,663 | 10% | ||
thashadowbrokers | 0 | 76,481,373 | 100% | ||
b00m | 0 | 770,642,574 | 2.5% | ||
brotato | 0 | 373,234,755 | 100% | ||
pizaz | 0 | 366,440,430 | 100% | ||
triplethreat | 0 | 76,439,710 | 100% | ||
wewt | 0 | 2,873,956,957 | 10% | ||
conflaxus | 0 | 75,169,258 | 100% | ||
tittilatey | 0 | 75,231,798 | 100% | ||
cajun | 0 | 367,101,361 | 100% | ||
coonass | 0 | 366,701,626 | 100% | ||
squirrelnuts | 0 | 366,539,293 | 100% | ||
luoq | 0 | 18,431,420,707 | 100% | ||
xny | 0 | 187,336,327 | 100% | ||
steemdevs | 0 | 360,244,564 | 100% | ||
jeezy | 0 | 76,368,896 | 100% | ||
test.with.dots | 0 | 73,906,835 | 100% | ||
pi-pi | 0 | 76,331,942 | 100% | ||
listentosteem | 0 | 75,096,731 | 100% | ||
gravy | 0 | 73,843,704 | 100% | ||
beautifuldata | 0 | 983,204,777 | 30% | ||
cutemachine | 0 | 15,767,031,393 | 100% | ||
orlandumike | 0 | 1,820,560,950 | 8% | ||
sempervideo | 0 | 22,412,911,906 | 100% | ||
east.autovote | 0 | 3,826,906,904 | 100% | ||
cisah90 | 0 | 578,697,601 | 100% | ||
sbi2 | 0 | 1,409,843,964 | 1% | ||
khayziljoy | 0 | 52,056,400 | 100% | ||
mulia28 | 0 | 333,815,713 | 100% | ||
crazecrypt | 0 | 321,580,237 | 100% | ||
amriremenss | 0 | 523,586,231 | 100% |
Dear sis @paulag. Introduce, my name is Muslem (@doktormuslem), I am from Aceh or Indonesia conuntry. I once installed to learn microroft power BI, because want to try to analyze distribution of steemit platform for aceh. but I failed. I've also watched your youtube channel. So, can you show me how. before I apologize if it has disturbed your time. Thank you very much.
author | doktormuslem |
---|---|
permlink | re-paulag-visualizing-steemit-internal-market-17-march-18-blockchain-business-intelligence-20180318t082941967z |
category | steemit |
json_metadata | {"tags":["steemit"],"users":["paulag","doktormuslem"],"app":"steemit/0.1"} |
created | 2018-03-18 08:30:12 |
last_update | 2018-03-18 08:30:12 |
depth | 1 |
children | 0 |
last_payout | 2018-03-25 08:30:12 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 372 |
author_reputation | 18,262,646,542,484 |
root_title | "Visualizing STEEMIT Internal Market 17 March ‘18 – BlockChain Business Intelligence" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 45,100,097 |
net_rshares | 0 |
Top effort, as always :) I have a theory that price rises lead to an increase in posting, making it more difficult to keep up with one's feed, culminating in a cull of one's follow list. Has anyone looked for a correlation between price rises and unfollow events?
author | mattclarke |
---|---|
permlink | re-paulag-visualizing-steemit-internal-market-17-march-18-blockchain-business-intelligence-20180317t154132042z |
category | steemit |
json_metadata | {"tags":["steemit"],"app":"steemit/0.1"} |
created | 2018-03-17 15:41:33 |
last_update | 2018-03-17 15:41:33 |
depth | 1 |
children | 7 |
last_payout | 2018-03-24 15:41:33 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 264 |
author_reputation | 128,246,717,809,762 |
root_title | "Visualizing STEEMIT Internal Market 17 March ‘18 – BlockChain Business Intelligence" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 44,975,559 |
net_rshares | 5,801,399,900 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
lextenebris | 0 | 5,801,399,900 | 20% |
price rise v's unfollows?
author | paulag |
---|---|
permlink | re-mattclarke-re-paulag-visualizing-steemit-internal-market-17-march-18-blockchain-business-intelligence-20180317t154608022z |
category | steemit |
json_metadata | {"tags":["steemit"],"app":"steemit/0.1"} |
created | 2018-03-17 15:46:06 |
last_update | 2018-03-17 15:46:06 |
depth | 2 |
children | 6 |
last_payout | 2018-03-24 15:46:06 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 25 |
author_reputation | 274,264,287,951,003 |
root_title | "Visualizing STEEMIT Internal Market 17 March ‘18 – BlockChain Business Intelligence" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 44,976,330 |
net_rshares | 0 |
Yes. I don't know how easy it would be to get the data, but I imagine there'd be a strong correlation. I noticed today, that it took me 30 mins to catch up on my feed, when it usually takes an hour. The authors I follow are posting less frequently, assumedly due to the price decrease. If the opposite is true, and they post more frequently to net larger rewards when the price increases, it'll take me much longer to read through my feed, and I'll be tempted to unfollow some of the lower quality authors.
author | mattclarke |
---|---|
permlink | re-paulag-re-mattclarke-re-paulag-visualizing-steemit-internal-market-17-march-18-blockchain-business-intelligence-20180317t155111950z |
category | steemit |
json_metadata | {"tags":["steemit"],"app":"steemit/0.1"} |
created | 2018-03-17 15:51:12 |
last_update | 2018-03-17 15:51:12 |
depth | 3 |
children | 5 |
last_payout | 2018-03-24 15:51:12 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.044 HBD |
curator_payout_value | 0.010 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 506 |
author_reputation | 128,246,717,809,762 |
root_title | "Visualizing STEEMIT Internal Market 17 March ‘18 – BlockChain Business Intelligence" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 44,977,225 |
net_rshares | 16,444,066,175 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
meesterboom | 0 | 10,642,666,275 | 1% | ||
lextenebris | 0 | 5,801,399,900 | 20% |