VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.841USD
STEEM
0.000STEEM
SBD
0.042SBD
Own SP
15.163SP
Detailed Balance
| STEEM | ||
| balance | 0.000STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 15.163SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 0.000SP | SP |
| Effective Power | 15.163SP | SP |
| Reward SP (pending) | 0.031SP | SP |
| SBD | ||
| sbd_balance | 0.000SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.042SBD | SBD |
{
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "24692.011612 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
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"sbd_balance": "0.000 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.042 SBD",
"conversions": []
}Account Info
| name | jptsmit |
| id | 107114 |
| rank | 97,752 |
| reputation | 399328001 |
| created | 2016-10-26T11:02:57 |
| recovery_account | steem |
| proxy | None |
| post_count | 8 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2019-01-22T14:34:24 |
| last_root_post | 2017-07-17T19:10:54 |
| last_vote_time | 2018-03-14T16:10:18 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 9,800 |
| delayed_votes | 0 |
| balance | 0.000 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.000 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 24692.011612 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 0.000000 VESTS |
| reward_vesting_balance | 64.049271 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 2017-07-18T11:43:45 |
| mined | No |
| sbd_seconds | 0 |
| sbd_last_interest_payment | 1970-01-01T00:00:00 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"id": 107114,
"name": "jptsmit",
"owner": {
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"active": {
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"posting": {
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"memo_key": "STM6fipJwGtQTUWvgQRcFaVF7bYYJKcWxjvFdGVrej2UqvViBbNfg",
"json_metadata": "{\"profile\":{\"profile_image\":\"https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAQBAAAAJDFjOGNhZjZmLWM3MzQtNGUzNy05NDAzLTQ2ZDczM2RiZDQyZg.jpg\",\"name\":\"Jan Smit\",\"location\":\"Amsterdam\"}}",
"posting_json_metadata": "{\"profile\":{\"profile_image\":\"https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAQBAAAAJDFjOGNhZjZmLWM3MzQtNGUzNy05NDAzLTQ2ZDczM2RiZDQyZg.jpg\",\"name\":\"Jan Smit\",\"location\":\"Amsterdam\"}}",
"proxy": "",
"last_owner_update": "1970-01-01T00:00:00",
"last_account_update": "2017-07-18T11:43:45",
"created": "2016-10-26T11:02:57",
"mined": false,
"recovery_account": "steem",
"last_account_recovery": "1970-01-01T00:00:00",
"reset_account": "null",
"comment_count": 0,
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},
"downvote_manabar": {
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"last_update_time": 1477479777
},
"voting_power": 9800,
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"sbd_balance": "0.000 SBD",
"sbd_seconds": "0",
"sbd_seconds_last_update": "1970-01-01T00:00:00",
"sbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_sbd_balance": "0.000 SBD",
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0,
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0,
0
],
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"last_post": "2019-01-22T14:34:24",
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"post_bandwidth": 0,
"pending_claimed_accounts": 0,
"vesting_balance": "0.000 STEEM",
"reputation": 399328001,
"transfer_history": [],
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"post_history": [],
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"other_history": [],
"witness_votes": [],
"tags_usage": [],
"guest_bloggers": [],
"rank": 97752
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
2019/10/26 12:57:51
2019/10/26 12:57:51
| parent author | jptsmit |
| parent permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| author | steemitboard |
| permlink | steemitboard-notify-jptsmit-20191026t125751000z |
| title | |
| body | Congratulations @jptsmit! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@jptsmit/birthday3.png</td><td>Happy Birthday! - You are on the Steem blockchain for 3 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@jptsmit) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=jptsmit)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored"><img src="https://steemitimages.com/64x128/https://files.steempeak.com/file/steempeak/arcange/YqQV5Tbj-image.png"></a></td><td><a href="https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored">SteemFest⁴ commemorative badge refactored</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes! |
| json metadata | {"image":["https://steemitboard.com/img/notify.png"]} |
| Transaction Info | Block #37621864/Trx d87e4060c8808b5ab5dd65c195e804227a213b6e |
View Raw JSON Data
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"author": "steemitboard",
"permlink": "steemitboard-notify-jptsmit-20191026t125751000z",
"title": "",
"body": "Congratulations @jptsmit! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@jptsmit/birthday3.png</td><td>Happy Birthday! - You are on the Steem blockchain for 3 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@jptsmit) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=jptsmit)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored\"><img src=\"https://steemitimages.com/64x128/https://files.steempeak.com/file/steempeak/arcange/YqQV5Tbj-image.png\"></a></td><td><a href=\"https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored\">SteemFest⁴ commemorative badge refactored</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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}2019/01/22 14:48:09
2019/01/22 14:48:09
| parent author | yuhjtman |
| parent permlink | the-formula-for-ram-price-in-eos |
| author | jptsmit |
| permlink | re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z |
| title | |
| body | @@ -538,17 +538,19 @@ %5E2) = E0 -* + * R0 / ((1 @@ -554,17 +554,19 @@ ((1-x)%5E2 -* + * R0%5E2) = |
| json metadata | {"tags":["eos"],"app":"steemit/0.1"} |
| Transaction Info | Block #29681164/Trx 653fd539485e71c1d72a2b5d02b85f8cb6bdb788 |
View Raw JSON Data
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"title": "",
"body": "@@ -538,17 +538,19 @@\n %5E2) = E0\n-*\n+ * \n R0 / ((1\n@@ -554,17 +554,19 @@\n ((1-x)%5E2\n-*\n+ * \n R0%5E2) = \n",
"json_metadata": "{\"tags\":[\"eos\"],\"app\":\"steemit/0.1\"}"
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}2019/01/22 14:35:54
2019/01/22 14:35:54
| parent author | yuhjtman |
| parent permlink | the-formula-for-ram-price-in-eos |
| author | jptsmit |
| permlink | re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z |
| title | |
| body | @@ -518,17 +518,17 @@ balances -( +) %0Ap= c / |
| json metadata | {"tags":["eos"],"app":"steemit/0.1"} |
| Transaction Info | Block #29680919/Trx e3da85525af582fdf56bd79f3be3ff04075ca02a |
View Raw JSON Data
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"author": "jptsmit",
"permlink": "re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z",
"title": "",
"body": "@@ -518,17 +518,17 @@\n balances\n-(\n+)\n %0Ap= c /\n",
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}2019/01/22 14:35:33
2019/01/22 14:35:33
| parent author | yuhjtman |
| parent permlink | the-formula-for-ram-price-in-eos |
| author | jptsmit |
| permlink | re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z |
| title | |
| body | @@ -486,16 +486,49 @@ * R0 = c + (E0 and R0 are starter balances( %0Ap= c / |
| json metadata | {"tags":["eos"],"app":"steemit/0.1"} |
| Transaction Info | Block #29680912/Trx 69de0d4adc8f35c5edda4960414293978f85a299 |
View Raw JSON Data
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"op": [
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"parent_author": "yuhjtman",
"parent_permlink": "the-formula-for-ram-price-in-eos",
"author": "jptsmit",
"permlink": "re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z",
"title": "",
"body": "@@ -486,16 +486,49 @@\n * R0 = c\n+ (E0 and R0 are starter balances(\n %0Ap= c /\n",
"json_metadata": "{\"tags\":[\"eos\"],\"app\":\"steemit/0.1\"}"
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}2019/01/22 14:34:24
2019/01/22 14:34:24
| parent author | yuhjtman |
| parent permlink | the-formula-for-ram-price-in-eos |
| author | jptsmit |
| permlink | re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z |
| title | |
| body | This piece really helped me. E * R =constant. I tested this on EOS, Telos and BOS and is exactly right. This formula also has no slippage. price = dE/-dR = d (c/R)/-dR= -c/(R*R) dR/-dR = E/R -> QED PS it is -dR instead of dR as RAM connector buffer goes down when EOS enters the EOS connector You can also easily derive what the price curve looks like if you want to plot on the X-axis the % RAM utilisation = x and on the Y-axis the price = p p = E / R and R = (1-x) * R0 and E0 * R0 = c p= c / (R^2) = E0*R0 / ((1-x)^2*R0^2) = E0/R0 /(1-x)^2 =p0 / (1-x)^2 So the price p goes up from the starting price p0 with the curve 1/(1-x)^2 in every Bancor Relay model |
| json metadata | {"tags":["eos"],"app":"steemit/0.1"} |
| Transaction Info | Block #29680890/Trx 1f17f371517e35e3f5d6a9d6cb428fc6d8f3c042 |
View Raw JSON Data
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"op": [
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"parent_author": "yuhjtman",
"parent_permlink": "the-formula-for-ram-price-in-eos",
"author": "jptsmit",
"permlink": "re-yuhjtman-the-formula-for-ram-price-in-eos-20190122t143425350z",
"title": "",
"body": "This piece really helped me. E * R =constant. I tested this on EOS, Telos and BOS and is exactly right. This formula also has no slippage.\n\nprice = dE/-dR = d (c/R)/-dR= -c/(R*R) dR/-dR = E/R -> QED\n\nPS it is -dR instead of dR as RAM connector buffer goes down when EOS enters the EOS connector\n\nYou can also easily derive what the price curve looks like if you want to plot on the X-axis the % RAM utilisation = x and on the Y-axis the price = p\n\np = E / R and R = (1-x) * R0 and E0 * R0 = c\np= c / (R^2) = E0*R0 / ((1-x)^2*R0^2) = E0/R0 /(1-x)^2 =p0 / (1-x)^2\n\nSo the price p goes up from the starting price p0 with the curve 1/(1-x)^2 in every Bancor Relay model",
"json_metadata": "{\"tags\":[\"eos\"],\"app\":\"steemit/0.1\"}"
}
]
}2018/10/26 17:43:18
2018/10/26 17:43:18
| parent author | jptsmit |
| parent permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| author | steemitboard |
| permlink | steemitboard-notify-jptsmit-20181026t174318000z |
| title | |
| body | Congratulations @jptsmit! You have received a personal award! [](http://steemitboard.com/@jptsmit) 2 Years on Steemit <sub>_Click on the badge to view your Board of Honor._</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-notifications-improved"><img src="https://steemitimages.com/64x128/http://i.cubeupload.com/NgygYH.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-notifications-improved">SteemitBoard notifications improved</a></td></tr></table> > Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**! |
| json metadata | {"image":["https://steemitboard.com/img/notify.png"]} |
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"body": "Congratulations @jptsmit! You have received a personal award!\n\n[](http://steemitboard.com/@jptsmit) 2 Years on Steemit\n<sub>_Click on the badge to view your Board of Honor._</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-notifications-improved\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/NgygYH.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-notifications-improved\">SteemitBoard notifications improved</a></td></tr></table>\n\n> Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!",
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}deobrandsupvoted (100.00%) @jptsmit / satoshi-pie-spies-performance2018/03/14 16:12:09
deobrandsupvoted (100.00%) @jptsmit / satoshi-pie-spies-performance
2018/03/14 16:12:09
| voter | deobrands |
| author | jptsmit |
| permlink | satoshi-pie-spies-performance |
| weight | 10000 (100.00%) |
| Transaction Info | Block #20672457/Trx 5115d0aa25676491bd37a8482012cc826ded42d0 |
View Raw JSON Data
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}deobrandsupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries2018/03/14 16:12:03
deobrandsupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries
2018/03/14 16:12:03
| voter | deobrands |
| author | jptsmit |
| permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| weight | 10000 (100.00%) |
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}jptsmitfollowed @deobrands2018/03/14 16:10:27
jptsmitfollowed @deobrands
2018/03/14 16:10:27
| required auths | [] |
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}jptsmitupvoted (100.00%) @deobrands / classifying-and-regulating-crypto-assets2018/03/14 16:10:18
jptsmitupvoted (100.00%) @deobrands / classifying-and-regulating-crypto-assets
2018/03/14 16:10:18
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}2017/10/26 11:52:15
2017/10/26 11:52:15
| parent author | jptsmit |
| parent permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| author | steemitboard |
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| body | Congratulations @jptsmit! You have completed some achievement on Steemit and have been rewarded with new badge(s) : Happy Birthday - 1 Year on Steemit Click on any badge to view your own Board of Honor on SteemitBoard. For more information about SteemitBoard, click [here](https://steemit.com/@steemitboard) If you no longer want to receive notifications, reply to this comment with the word `STOP` > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)! |
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}jptsmitupvoted (100.00%) @eric-blair / does-metcalfe-s-law-aptly-describe-bitcoin-s-value2017/09/19 21:08:36
jptsmitupvoted (100.00%) @eric-blair / does-metcalfe-s-law-aptly-describe-bitcoin-s-value
2017/09/19 21:08:36
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2017/09/19 21:07:36
| parent author | eric-blair |
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| permlink | re-eric-blair-does-metcalfe-s-law-aptly-describe-bitcoin-s-value-20170919t210737557z |
| title | |
| body | http://nakamotoinstitute.org/mempool/how-we-know-bitcoin-is-not-a-bubble/ The Metcalf plot in here is also not fitting too well in 2012 and 2013H1. But your graph is still different. Would you be able to update? Curious where we are at nowadays |
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"body": "http://nakamotoinstitute.org/mempool/how-we-know-bitcoin-is-not-a-bubble/\n\nThe Metcalf plot in here is also not fitting too well in 2012 and 2013H1. But your graph is still different. Would you be able to update? Curious where we are at nowadays",
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}jptsmitupvoted (100.00%) @weppos / omg-token-airdrop-for-eth-token-holders2017/09/07 07:00:18
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2017/09/07 07:00:18
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}jptsmitupvoted (100.00%) @cron / re-dan-response-to-vitalik-buterin-on-eos-20170731t180358861z2017/08/04 07:16:21
jptsmitupvoted (100.00%) @cron / re-dan-response-to-vitalik-buterin-on-eos-20170731t180358861z
2017/08/04 07:16:21
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}jptsmitreceived 0.008 SBD, 0.010 SP author reward for @jptsmit / re-remyremy-19-industries-ready-to-be-disrupted-by-blockchain-addendum-with-video-20170721t192117306z2017/07/28 19:21:18
jptsmitreceived 0.008 SBD, 0.010 SP author reward for @jptsmit / re-remyremy-19-industries-ready-to-be-disrupted-by-blockchain-addendum-with-video-20170721t192117306z
2017/07/28 19:21:18
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}jptsmitreceived 0.034 SBD, 0.029 SP author reward for @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries2017/07/24 19:10:54
jptsmitreceived 0.034 SBD, 0.029 SP author reward for @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries
2017/07/24 19:10:54
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}jptsmitupvoted (100.00%) @deobrands / is-veritaseum-a-scam2017/07/22 21:45:51
jptsmitupvoted (100.00%) @deobrands / is-veritaseum-a-scam
2017/07/22 21:45:51
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}remyremyupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries2017/07/21 21:24:36
remyremyupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries
2017/07/21 21:24:36
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2017/07/21 21:23:42
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}2017/07/21 19:21:48
2017/07/21 19:21:48
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}2017/07/21 19:21:18
2017/07/21 19:21:18
| parent author | remyremy |
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| author | jptsmit |
| permlink | re-remyremy-19-industries-ready-to-be-disrupted-by-blockchain-addendum-with-video-20170721t192117306z |
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| body | Interestingly enough industry 1 is (was) also the most profitable traditionally See: https://steemit.com/disruption/@jptsmit/blockchain-and-crypto-disrupt-most-profitable-industries |
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}2017/07/20 18:06:15
2017/07/20 18:06:15
| parent author | jptsmit |
| parent permlink | re-sciencevienna-questions-regarding-money-maker-facebook-part-i-behavior-monetization-20170720t144708655z |
| author | sciencevienna |
| permlink | re-jptsmit-re-sciencevienna-questions-regarding-money-maker-facebook-part-i-behavior-monetization-20170720t180614935z |
| title | |
| body | I think this is an open question that could be connected to the culture of money itself. Money matters and is of great importance in e.g. decision making processes. Why should consumers not be interested in getting paid for their time, their work, their creativity? Regardless of what my opinion may be, every Like on Facebook I make, every new "friend", every new group approvement is connected to my data pool and of course monetized in the background. So why shall it stay in the background? Is there any plausible argumentation why someone should be underaged in questions of value, what value my data packages have, what price is set up, what someone gets paid for it... Steemit is not only a social media platform it is also a platform of reflection. It enables to scruitinize usual social media practices and processes, we in fact don't know about. I more and more get the feeling that facebook et al. have to put emotions on top to distract from what is really going on. Have you ever compared the miner structure of bitcoin with the witness structure of steemit, @jptsmit? |
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}2017/07/20 14:47:33
2017/07/20 14:47:33
| parent author | sciencevienna |
| parent permlink | questions-regarding-money-maker-facebook-part-i-behavior-monetization |
| author | jptsmit |
| permlink | re-sciencevienna-questions-regarding-money-maker-facebook-part-i-behavior-monetization-20170720t144708655z |
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| body | @@ -114,16 +114,22 @@ ng this + data (if they |
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}2017/07/20 14:47:09
2017/07/20 14:47:09
| parent author | sciencevienna |
| parent permlink | questions-regarding-money-maker-facebook-part-i-behavior-monetization |
| author | jptsmit |
| permlink | re-sciencevienna-questions-regarding-money-maker-facebook-part-i-behavior-monetization-20170720t144708655z |
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| body | Given the value of your private information would you expect consumers to be interested in getting paid for sharing this (if they so chose)? |
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}jptsmitupvoted (100.00%) @jer979 / 7-examples-of-blockchain-led-financial-innovation2017/07/20 14:41:33
jptsmitupvoted (100.00%) @jer979 / 7-examples-of-blockchain-led-financial-innovation
2017/07/20 14:41:33
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}2017/07/19 14:12:39
2017/07/19 14:12:39
| from | jptsmit |
| to | bittrex |
| amount | 590.670 STEEM |
| memo | 4a896e4fa64f446d8b0 |
| Transaction Info | Block #13821673/Trx 8d6025a8d7fc6051fc27d88f83fcf9822a77c258 |
View Raw JSON Data
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}blocktradessent 590.670 STEEM to @jptsmit- "Buy Steem Power"2017/07/19 13:49:18
blocktradessent 590.670 STEEM to @jptsmit- "Buy Steem Power"
2017/07/19 13:49:18
| from | blocktrades |
| to | jptsmit |
| amount | 590.670 STEEM |
| memo | Buy Steem Power |
| Transaction Info | Block #13821206/Trx 24486307855e564d7ee2340b5251063186e60264 |
View Raw JSON Data
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}scienceviennareplied to @jptsmit / re-jptsmit-2017719t153692z2017/07/19 13:03:09
scienceviennareplied to @jptsmit / re-jptsmit-2017719t153692z
2017/07/19 13:03:09
| parent author | jptsmit |
| parent permlink | re-sciencevienna-re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170718t203056901z |
| author | sciencevienna |
| permlink | re-jptsmit-2017719t153692z |
| title | |
| body | A good start :) So let's take Steemit as a direct or the competitor No. 1. I'm keen on transferring people of my friend's list that really would enrich this community here. All in all there are obstacles: 1. Deep-rooted behaviors of scrolling down the fb timeline. 2. Zuckerberg's Zombie Phenomenon (good posts here on that :D) 3. On the other side maybe Steemit's long password, but this is not a strong argument, so maybe you have some more to add? |
| json metadata | {"tags":"disruption","app":"esteem/1.4.6","format":"markdown+html","community":"esteem"} |
| Transaction Info | Block #13820283/Trx 767f93bf69e4ee43a71045a25376c268468505a3 |
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"author": "sciencevienna",
"permlink": "re-jptsmit-2017719t153692z",
"title": "",
"body": "A good start :) So let's take Steemit as a direct or the competitor No. 1. I'm keen on transferring people of my friend's list that really would enrich this community here. All in all there are obstacles: 1. Deep-rooted behaviors of scrolling down the fb timeline. 2. Zuckerberg's Zombie Phenomenon (good posts here on that :D) 3. On the other side maybe Steemit's long password, but this is not a strong argument, so maybe you have some more to add?",
"json_metadata": "{\"tags\":\"disruption\",\"app\":\"esteem/1.4.6\",\"format\":\"markdown+html\",\"community\":\"esteem\"}"
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}2017/07/18 20:31:57
2017/07/18 20:31:57
| voter | jptsmit |
| author | sciencevienna |
| permlink | re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t213920782z |
| weight | 10000 (100.00%) |
| Transaction Info | Block #13800466/Trx 4c4d9fbd742d7ea0da6075f107ad26cb6b5f587f |
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}2017/07/18 20:31:39
2017/07/18 20:31:39
| parent author | sciencevienna |
| parent permlink | re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t213920782z |
| author | jptsmit |
| permlink | re-sciencevienna-re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170718t203056901z |
| title | |
| body | @@ -75,12 +75,12 @@ en s -ustr +yste m (e |
| json metadata | {"tags":["disruption"],"app":"steemit/0.1"} |
| Transaction Info | Block #13800460/Trx caa73ec8ce48f06366f6815f9874fc12c297a153 |
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"permlink": "re-sciencevienna-re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170718t203056901z",
"title": "",
"body": "@@ -75,12 +75,12 @@\n en s\n-ustr\n+yste\n m (e\n",
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}2017/07/18 20:30:57
2017/07/18 20:30:57
| parent author | sciencevienna |
| parent permlink | re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t213920782z |
| author | jptsmit |
| permlink | re-sciencevienna-re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170718t203056901z |
| title | |
| body | I think decentralised social media potentially combined with attention token sustrm (eg Steem or BAT) can disrupt a company like Facebook. But not sure if I am answering your question |
| json metadata | {"tags":["disruption"],"app":"steemit/0.1"} |
| Transaction Info | Block #13800446/Trx d1095529cffce9d037c25c2f4c6df5ba70f307a5 |
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"permlink": "re-sciencevienna-re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170718t203056901z",
"title": "",
"body": "I think decentralised social media potentially combined with attention token sustrm (eg Steem or BAT) can disrupt a company like Facebook. But not sure if I am answering your question",
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}jptsmitupdated their account properties2017/07/18 11:43:45
jptsmitupdated their account properties
2017/07/18 11:43:45
| account | jptsmit |
| memo key | STM6fipJwGtQTUWvgQRcFaVF7bYYJKcWxjvFdGVrej2UqvViBbNfg |
| json metadata | {"profile":{"profile_image":"https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAQBAAAAJDFjOGNhZjZmLWM3MzQtNGUzNy05NDAzLTQ2ZDczM2RiZDQyZg.jpg","name":"Jan Smit","location":"Amsterdam"}} |
| Transaction Info | Block #13789904/Trx b5a2f7efd419b2d0de33e8bb0c3120ff01ae118a |
View Raw JSON Data
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}2017/07/17 21:39:33
2017/07/17 21:39:33
| parent author | jptsmit |
| parent permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| author | sciencevienna |
| permlink | re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t213920782z |
| title | |
| body | Thanks for the summary! What do you think? Which factors will lead to a faster suffering of Facebook and an increased change to its competitors? |
| json metadata | {"tags":["disruption"],"app":"steemit/0.1"} |
| Transaction Info | Block #13773026/Trx 317773b17ef2ede9fd029c497a18c01e8cb30f45 |
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"author": "sciencevienna",
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"title": "",
"body": "Thanks for the summary! What do you think? Which factors will lead to a faster suffering of Facebook and an increased change to its competitors?",
"json_metadata": "{\"tags\":[\"disruption\"],\"app\":\"steemit/0.1\"}"
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}2017/07/17 19:49:18
2017/07/17 19:49:18
| parent author | jptsmit |
| parent permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| author | bryanoemar |
| permlink | re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t194939886z |
| title | |
| body | Interesting read. Resteemed and upvoted! |
| json metadata | {"tags":["disruption"],"app":"steemit/0.1"} |
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"permlink": "re-jptsmit-blockchain-and-crypto-disrupt-most-profitable-industries-20170717t194939886z",
"title": "",
"body": "Interesting read. Resteemed and upvoted!",
"json_metadata": "{\"tags\":[\"disruption\"],\"app\":\"steemit/0.1\"}"
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}bryanoemarupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries2017/07/17 19:48:48
bryanoemarupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries
2017/07/17 19:48:48
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| permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
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}willheardupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries2017/07/17 19:33:45
willheardupvoted (100.00%) @jptsmit / blockchain-and-crypto-disrupt-most-profitable-industries
2017/07/17 19:33:45
| voter | willheard |
| author | jptsmit |
| permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| weight | 10000 (100.00%) |
| Transaction Info | Block #13770510/Trx 5a9cb58437e01bbf74740d752b3708653ff0c4c8 |
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}jptsmitpublished a new post: blockchain-and-crypto-disrupt-most-profitable-industries2017/07/17 19:10:54
jptsmitpublished a new post: blockchain-and-crypto-disrupt-most-profitable-industries
2017/07/17 19:10:54
| parent author | |
| parent permlink | disruption |
| author | jptsmit |
| permlink | blockchain-and-crypto-disrupt-most-profitable-industries |
| title | Blockchain and Crypto disrupt most profitable industries |
| body | https://steemitimages.com/DQmdaqCoPtJMwGpnmu7tYHYyHbxxj6XunXFMYF6c4meDQ4V/top-companies-rev-profit.jpg Perhaps with the exception of rainmaker Apple, many of the largest profit makers are likely to suffer from the disruptive forces of blockchain and crypto. In this graph from Forbes with the world's 100 largest companies by market value, it is in fact the industry with largest profit dots, the green Finance and Insurance ones, which are probably most at risk from blockchain and crypto tech. - Democratising investing (e.g. ICOs and Asset blockchainisation) will impact investment companies like Berkshire Hathaway ($24 billion). - Banks are of course at high risk: JPMorgan Chase ($24 billion), Wells Fargo ($22 billion), ICBC, Agricultural Bank of China and China Construction Bank. - So are insurers like AXA, Ping An, Allianz and Legal & General - Attention tokens and decentralised messaging may upset Alphabet ($19 billion) and Facebook ($27.6 billion) |
| json metadata | {"tags":["disruption","banking","insurance","google","facebook"],"image":["https://steemitimages.com/DQmdaqCoPtJMwGpnmu7tYHYyHbxxj6XunXFMYF6c4meDQ4V/top-companies-rev-profit.jpg"],"app":"steemit/0.1","format":"markdown"} |
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"body": "https://steemitimages.com/DQmdaqCoPtJMwGpnmu7tYHYyHbxxj6XunXFMYF6c4meDQ4V/top-companies-rev-profit.jpg\n\nPerhaps with the exception of rainmaker Apple, many of the largest profit makers are likely to suffer from the disruptive forces of blockchain and crypto. In this graph from Forbes with the world's 100 largest companies by market value, it is in fact the industry with largest profit dots, the green Finance and Insurance ones, which are probably most at risk from blockchain and crypto tech.\n\n- Democratising investing (e.g. ICOs and Asset blockchainisation) will impact investment companies like Berkshire Hathaway ($24 billion).\n- Banks are of course at high risk: JPMorgan Chase ($24 billion), Wells Fargo ($22 billion), ICBC, Agricultural Bank of China and China Construction Bank.\n- So are insurers like AXA, Ping An, Allianz and Legal & General\n- Attention tokens and decentralised messaging may upset Alphabet ($19 billion) and Facebook ($27.6 billion)",
"json_metadata": "{\"tags\":[\"disruption\",\"banking\",\"insurance\",\"google\",\"facebook\"],\"image\":[\"https://steemitimages.com/DQmdaqCoPtJMwGpnmu7tYHYyHbxxj6XunXFMYF6c4meDQ4V/top-companies-rev-profit.jpg\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}"
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}2017/07/17 18:47:03
2017/07/17 18:47:03
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}jptsmitupvoted (100.00%) @jer979 / disruption-alert-insurance-industry2017/07/17 18:46:54
jptsmitupvoted (100.00%) @jer979 / disruption-alert-insurance-industry
2017/07/17 18:46:54
| voter | jptsmit |
| author | jer979 |
| permlink | disruption-alert-insurance-industry |
| weight | 10000 (100.00%) |
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}2017/07/17 14:37:42
2017/07/17 14:37:42
| parent author | wingz |
| parent permlink | to-trade-or-not-to-trade-valuing-crypto-funds |
| author | jptsmit |
| permlink | re-wingz-to-trade-or-not-to-trade-valuing-crypto-funds-20170717t143742407z |
| title | |
| body | Curious what you think of Satoshi Pie Fund. I just posted this analysis: https://steemit.com/satoshipie/@jptsmit/satoshi-pie-spies-performance Next time will incorporate the NAV-approach |
| json metadata | {"tags":["crypto"],"links":["https://steemit.com/satoshipie/@jptsmit/satoshi-pie-spies-performance"],"app":"steemit/0.1"} |
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"parent_permlink": "to-trade-or-not-to-trade-valuing-crypto-funds",
"author": "jptsmit",
"permlink": "re-wingz-to-trade-or-not-to-trade-valuing-crypto-funds-20170717t143742407z",
"title": "",
"body": "Curious what you think of Satoshi Pie Fund. I just posted this analysis: \nhttps://steemit.com/satoshipie/@jptsmit/satoshi-pie-spies-performance\nNext time will incorporate the NAV-approach",
"json_metadata": "{\"tags\":[\"crypto\"],\"links\":[\"https://steemit.com/satoshipie/@jptsmit/satoshi-pie-spies-performance\"],\"app\":\"steemit/0.1\"}"
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}2017/07/17 14:33:54
2017/07/17 14:33:54
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| author | biophil |
| permlink | re-wingz-to-trade-or-not-to-trade-valuing-crypto-funds-20170608t225219392z |
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}2017/07/17 14:31:48
2017/07/17 14:31:48
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}2017/07/17 14:23:33
2017/07/17 14:23:33
| voter | jptsmit |
| author | arthur-schopen |
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2017/07/17 14:19:09
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}alphacoreupvoted (0.10%) @jptsmit / satoshi-pie-spies-performance2017/07/15 21:09:45
alphacoreupvoted (0.10%) @jptsmit / satoshi-pie-spies-performance
2017/07/15 21:09:45
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}jptsmitpublished a new post: satoshi-pie-spies-performance2017/07/15 21:09:18
jptsmitpublished a new post: satoshi-pie-spies-performance
2017/07/15 21:09:18
| parent author | |
| parent permlink | satoshipie |
| author | jptsmit |
| permlink | satoshi-pie-spies-performance |
| title | Satoshi Pie crypto fund heavily into ICOs to maintain lead over Ether |
| body | Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date. However, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison. Below table includes an ROI proxy showing the performance of the asset relative to the max amount invested. https://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png - SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy. However since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1] - A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether. - SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange. SPIE has made a number of ICO investments in recent months: - Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water. - BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter. - SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline. - Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently. - DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently. - Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water - EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI In general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not. Please note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated. Definitions: “Current” = 13 July 2017 “Current Profit” = “Current Invested” + “Current Market Value” “Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives) “Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset ROI = (“Current Profit”) / ( “Max Invested”) of an asset “Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset “Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought). [1] The following [article](https://steemit.com/money/@creator/satoshi-fund-pays-usd627k-dividends-to-satoshi-pie-holders-in-form-of-satoshi-steem-tokens) suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets. |
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"body": "Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date.\n\nHowever, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison.\n\nBelow table includes an ROI proxy showing the performance of the asset relative to the max amount invested.\nhttps://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png\n\n- SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy.\nHowever since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1]\n- A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether.\n- SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange.\n\nSPIE has made a number of ICO investments in recent months:\n- Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water.\n- BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter.\n- SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline.\n- Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently.\n- DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently.\n- Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water\n- EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI\n\nIn general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not.\n\nPlease note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated.\n\nDefinitions:\n“Current” = 13 July 2017\n“Current Profit” = “Current Invested” + “Current Market Value”\n“Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives)\n“Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset\nROI = (“Current Profit”) / ( “Max Invested”) of an asset\n“Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset\n“Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought).\n\n[1] The following [article](https://steemit.com/money/@creator/satoshi-fund-pays-usd627k-dividends-to-satoshi-pie-holders-in-form-of-satoshi-steem-tokens) suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets.",
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}2017/07/15 21:07:57
2017/07/15 21:07:57
| parent author | jptsmit |
| parent permlink | satoshi-pie-spies-performance |
| author | cheetah |
| permlink | cheetah-re-jptsmitsatoshi-pie-spies-performance |
| title | |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://medium.com/@jansmit_46242/satoshi-pie-spie-performance-e8ee90bea1ab |
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}proctologicupvoted (1.00%) @jptsmit / satoshi-pie-spies-performance2017/07/15 21:07:33
proctologicupvoted (1.00%) @jptsmit / satoshi-pie-spies-performance
2017/07/15 21:07:33
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| permlink | satoshi-pie-spies-performance |
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}jptsmitpublished a new post: satoshi-pie-spies-performance2017/07/15 21:06:18
jptsmitpublished a new post: satoshi-pie-spies-performance
2017/07/15 21:06:18
| parent author | |
| parent permlink | satoshipie |
| author | jptsmit |
| permlink | satoshi-pie-spies-performance |
| title | Satoshi Pie crypto fund heavily into ICOs to outperform Ether |
| body | Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date. However, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison. Below table includes an ROI proxy showing the performance of the asset relative to the max amount invested. https://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png - SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy. However since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1] - A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether. - SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange. SPIE has made a number of ICO investments in recent months: - Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water. - BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter. - SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline. - Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently. - DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently. - Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water - EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI In general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not. Please note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated. Definitions: “Current” = 13 July 2017 “Current Profit” = “Current Invested” + “Current Market Value” “Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives) “Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset ROI = (“Current Profit”) / ( “Max Invested”) of an asset “Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset “Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought). [1] The following [article](https://steemit.com/money/@creator/satoshi-fund-pays-usd627k-dividends-to-satoshi-pie-holders-in-form-of-satoshi-steem-tokens) suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets. |
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"body": "Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date.\n\nHowever, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison.\n\nBelow table includes an ROI proxy showing the performance of the asset relative to the max amount invested.\nhttps://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png\n\n- SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy.\nHowever since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1]\n- A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether.\n- SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange.\n\nSPIE has made a number of ICO investments in recent months:\n- Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water.\n- BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter.\n- SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline.\n- Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently.\n- DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently.\n- Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water\n- EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI\n\nIn general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not.\n\nPlease note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated.\n\nDefinitions:\n“Current” = 13 July 2017\n“Current Profit” = “Current Invested” + “Current Market Value”\n“Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives)\n“Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset\nROI = (“Current Profit”) / ( “Max Invested”) of an asset\n“Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset\n“Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought).\n\n[1] The following [article](https://steemit.com/money/@creator/satoshi-fund-pays-usd627k-dividends-to-satoshi-pie-holders-in-form-of-satoshi-steem-tokens) suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets.",
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}jptsmitpublished a new post: satoshi-pie-spies-performance2017/07/14 20:11:54
jptsmitpublished a new post: satoshi-pie-spies-performance
2017/07/14 20:11:54
| parent author | |
| parent permlink | satoshipie |
| author | jptsmit |
| permlink | satoshi-pie-spies-performance |
| title | Satoshi Pie (SPIES) performance |
| body | @@ -4337,15 +4337,144 @@ ing +%5B article +%5D(https://steemit.com/money/@creator/satoshi-fund-pays-usd627k-dividends-to-satoshi-pie-holders-in-form-of-satoshi-steem-tokens) sug @@ -4701,48 +4701,4 @@ ets. -!%5B20170713 Review of Satoshi Pie trades.png%5D |
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2017/07/14 20:09:54
| parent author | jptsmit |
| parent permlink | satoshi-pie-spies-performance |
| author | cheetah |
| permlink | cheetah-re-jptsmitsatoshi-pie-spies-performance |
| title | |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://medium.com/@jansmit_46242/satoshi-pie-spie-performance-e8ee90bea1ab |
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}cheetahupvoted (1.00%) @jptsmit / satoshi-pie-spies-performance2017/07/14 20:09:48
cheetahupvoted (1.00%) @jptsmit / satoshi-pie-spies-performance
2017/07/14 20:09:48
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}jptsmitupvoted (100.00%) @jptsmit / satoshi-pie-spies-performance2017/07/14 20:08:42
jptsmitupvoted (100.00%) @jptsmit / satoshi-pie-spies-performance
2017/07/14 20:08:42
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}jptsmitpublished a new post: satoshi-pie-spies-performance2017/07/14 20:08:09
jptsmitpublished a new post: satoshi-pie-spies-performance
2017/07/14 20:08:09
| parent author | |
| parent permlink | satoshipie |
| author | jptsmit |
| permlink | satoshi-pie-spies-performance |
| title | Satoshi Pie (SPIES) performance |
| body | Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date. However, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison. Below table includes an ROI proxy showing the performance of the asset relative to the max amount invested. https://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png - SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy. However since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1] - A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether. - SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange. SPIE has made a number of ICO investments in recent months: - Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water. - BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter. - SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline. - Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently. - DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently. - Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water - EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI In general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not. Please note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated. Definitions: “Current” = 13 July 2017 “Current Profit” = “Current Invested” + “Current Market Value” “Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives) “Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset ROI = (“Current Profit”) / ( “Max Invested”) of an asset “Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset “Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought). [1] The following article suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets.![20170713 Review of Satoshi Pie trades.png] |
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"body": "Satoshi Fund provides on their site a daily updated google spreadsheet showing Satoshi Pie’s portfolio composition from the first day they started (9 May 2016) until today (13 July 2017). Based on this I reviewed the profits (and losses) made on each asset. In below table you can see that the big profits in absolute USD terms were made on BAT, Ether and Bitcoin. The latter 2 obviously because of their high exposure. BAT was a quick 4x profit cashed directly after the ICO. Bancor is the biggest USD loss to date.\n\nHowever, rather than using USD as a base, I am more interested to see how the investments did versus Ether, i.e. did they outperform Ether during the same period. Below table shows on the bottom the total ETH Profit and ETH Invested amount. The 98,929 ETH (USD 20,5 Mln) difference between these 2 numbers is the market value (Funds under Management) of the Satoshi Fund (matching with amount on their homepage). I also added the BTC Profit for comparison.\n\nBelow table includes an ROI proxy showing the performance of the asset relative to the max amount invested.\nhttps://steemitimages.com/DQmXch5YTG3V2jMKbaKMDFDHmkyUXWLsEnas4Yqr6xpKsjf/20170713%20Review%20of%20Satoshi%20Pie%20trades.png\n\n- SPIES earned 58,454 Ether to date, meaning SPIES outperformed an Ether buy and hold strategy by that amount. Or alternatively put, USD 12 Mln (= 58,454 ETH * 207 USD/ ETH) of the current USD 20,5 Mln Funds under Management mentioned above are due to returns in excess of an Ether buy and hold strategy.\nHowever since the 10x Steem trade in the early days of the fund, which yielded 57,951 ETH, the fund has performed more or less at par with an Ether buy and hold strategy. USD 270 k (5,600 Ether) was invested around 23 June 2016 and sold for an equivalent of 64,000 Ether within 1 month’s time, coinciding with a large Steem price spike.[1]\n- A repeat of this 10x trade was made, albeit smaller, when Golos (the Russian counterpart of Steem) launched in Nov 2016 and SPIES invested an equivalent of 1,200 Ether.\n- SPIES has invested in most of the Larimer family assets. In addition to Steem and Golos, investment were made into BitShares, bitCNY, bitUSD and most recently EOS. Note that SPIE itself is also listed on the OpenLedger exchange.\n\nSPIE has made a number of ICO investments in recent months:\n- Mysterium with ~1,500 Ether on 31 May 2017. Currently 29% under (Ether) water.\n- BAT with 2,000 Ether on 1 June 2017. Sold completely with 4x profit in weeks thereafter.\n- SONM, supercomputer organized by network mining, with 1,000 Ether on 16 June 2017. According to SPIE’s data the ETH price remained flat since ICO but liqui.io reports a 34% decline.\n- Bancor with 1,380 Ether on 25 June 2017. Currently the largest USD loss of all SPIE investments but a 0% ETH ROI (i.e. Bancor dipped as fast as Ether in same period). Note that 18,000 BNT, which SPIE reports to be present on account 0x01A7d9fa7d0Eb1185c67e54dA83c2e75dB69E39f, can not be found by Etherscan on this account currently.\n- DAO Casino with 1,500 Ether on 30 June 2017. ICO ongoing currently.\n- Tezos with 300 BTC on 2 July 2017. Currently 40% above (Ether) water\n- EOS with 3,000 Ether on 2 July 2017. Currently 168% Ether ROI\n\nIn general it will be challenging for the fund to keep its performance up. Whether the participation in a fairly large number of ICOs will produce another BAT-type-profit remains to be seen. Some will certainly not.\n\nPlease note that none of these observations have been checked with the Satoshi Fund and the analysis can contain errors. Therefore all comments and suggestions to improve are much appreciated.\n\nDefinitions:\n“Current” = 13 July 2017\n“Current Profit” = “Current Invested” + “Current Market Value”\n“Current Invested” = Net cumulative amount for an asset of (i) purchases/ costs (as negatives) and (ii) sales/ revenues (as positives)\n“Current Market Value” = Current Balance of an asset multiplied by Current Price of same asset\nROI = (“Current Profit”) / ( “Max Invested”) of an asset\n“Max Invested” = Lowest Invested amount (i.e. when most was invested, because investments are shown as negative numbers) into an asset\n“Max exposure” =Maximum share of portfolio value on any day in which balance of an asset was increased by more than 1% (i.e. a significant amount of assets were bought).\n\n[1] The following article suggests the profit was created through a sale of the Steem tokens to the new Satoshi-Steem fund because SPIE couldn’t liquidate the Steem holdings when on 14 July 2016 SPIE exceeded the self-imposed 15% cap on illiquid assets.![20170713 Review of Satoshi Pie trades.png]",
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