@blockchainstar
25The mission and objective of the BlockchainStar and Institutional Trading project is to enrich readers by building awareness of Institutional Trading
steemit.com/@blockchainstarVOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.041USD
STEEM
0.002STEEM
SBD
0.010SBD
Effective Power
5.007SP
├── Own SP
0.630SP
└── Incoming DelegationsDeleg
+4.377SP
Detailed Balance
| STEEM | ||
| balance | 0.002STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 0.630SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 4.377SP | SP |
| Effective Power | 5.007SP | SP |
| Reward SP (pending) | 0.003SP | 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 | 0.010SBD | SBD |
{
"balance": "0.002 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "1024.096600 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "7119.563206 VESTS",
"sbd_balance": "0.000 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.010 SBD",
"conversions": []
}Account Info
| name | blockchainstar |
| id | 593838 |
| rank | 331,353 |
| reputation | 387317576 |
| created | 2018-01-10T18:56:39 |
| recovery_account | steem |
| proxy | None |
| post_count | 31 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2018-02-13T06:49:30 |
| last_root_post | 2018-02-13T06:49:30 |
| last_vote_time | 2018-02-13T06:49:30 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | 0 |
| balance | 0.002 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.000 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 1024.096600 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 7119.563206 VESTS |
| reward_vesting_balance | 6.136001 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| withdrawn | 0 |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 | 2018-01-19T18:35:24 |
| mined | No |
| sbd_seconds | 0 |
| sbd_last_interest_payment | 1970-01-01T00:00:00 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"active": {
"account_auths": [],
"key_auths": [
[
"STM6pLLvaEa218zWxw1LnyzPdNEJDiZY8SAfEk4pxWYMtWpRF5kxn",
1
]
],
"weight_threshold": 1
},
"balance": "0.002 STEEM",
"can_vote": true,
"comment_count": 0,
"created": "2018-01-10T18:56:39",
"curation_rewards": 0,
"delegated_vesting_shares": "0.000000 VESTS",
"downvote_manabar": {
"current_mana": 2035914951,
"last_update_time": 1779055851
},
"guest_bloggers": [],
"id": 593838,
"json_metadata": "{\"profile\":{\"profile_image\":\"https://pbs.twimg.com/profile_images/340229506/Mstardom_Site_Logo_400x400.jpg\",\"name\":\"Glenford Robinson\",\"about\":\"The mission and objective of the BlockchainStar and Institutional Trading project is to enrich readers by building awareness of Institutional Trading\",\"location\":\"NY\",\"website\":\"https://twitter.com/mrstardom\",\"cover_image\":\"https://pbs.twimg.com/profile_images/340229506/Mstardom_Site_Logo_400x400.jpg\"}}",
"last_account_recovery": "1970-01-01T00:00:00",
"last_account_update": "2018-01-19T18:35:24",
"last_owner_update": "1970-01-01T00:00:00",
"last_post": "2018-02-13T06:49:30",
"last_root_post": "2018-02-13T06:49:30",
"last_vote_time": "2018-02-13T06:49:30",
"lifetime_vote_count": 0,
"market_history": [],
"memo_key": "STM5QzUYgG9BeaoQcWgLMzxV3ctF3uY3MmS5xiRHegN9a8vF1HUJ8",
"mined": false,
"name": "blockchainstar",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"other_history": [],
"owner": {
"account_auths": [],
"key_auths": [
[
"STM69zVQw3uN7fDWzy6Hp3RjfHhExXMSrzq81p4ePoYLpd7QvfXDm",
1
]
],
"weight_threshold": 1
},
"pending_claimed_accounts": 0,
"post_bandwidth": 0,
"post_count": 31,
"post_history": [],
"posting": {
"account_auths": [],
"key_auths": [
[
"STM8ftxm41WqHNs81ZKkQSzgE3VAHexbMreLPDmN2StLAtaR8aZTi",
1
]
],
"weight_threshold": 1
},
"posting_json_metadata": "{\"profile\":{\"profile_image\":\"https://pbs.twimg.com/profile_images/340229506/Mstardom_Site_Logo_400x400.jpg\",\"name\":\"Glenford Robinson\",\"about\":\"The mission and objective of the BlockchainStar and Institutional Trading project is to enrich readers by building awareness of Institutional Trading\",\"location\":\"NY\",\"website\":\"https://twitter.com/mrstardom\",\"cover_image\":\"https://pbs.twimg.com/profile_images/340229506/Mstardom_Site_Logo_400x400.jpg\"}}",
"posting_rewards": 6,
"proxied_vsf_votes": [
0,
0,
0,
0
],
"proxy": "",
"received_vesting_shares": "7119.563206 VESTS",
"recovery_account": "steem",
"reputation": 387317576,
"reset_account": "null",
"reward_sbd_balance": "0.010 SBD",
"reward_steem_balance": "0.000 STEEM",
"reward_vesting_balance": "6.136001 VESTS",
"reward_vesting_steem": "0.003 STEEM",
"savings_balance": "0.000 STEEM",
"savings_sbd_balance": "0.000 SBD",
"savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_sbd_seconds": "0",
"savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
"savings_withdraw_requests": 0,
"sbd_balance": "0.000 SBD",
"sbd_last_interest_payment": "1970-01-01T00:00:00",
"sbd_seconds": "0",
"sbd_seconds_last_update": "1970-01-01T00:00:00",
"tags_usage": [],
"to_withdraw": 0,
"transfer_history": [],
"vesting_balance": "0.000 STEEM",
"vesting_shares": "1024.096600 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"vote_history": [],
"voting_manabar": {
"current_mana": "8143659806",
"last_update_time": 1779055851
},
"voting_power": 0,
"withdraw_routes": 0,
"withdrawn": 0,
"witness_votes": [],
"witnesses_voted_for": 0,
"rank": 331353
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
steemdelegated 4.377 SP to @blockchainstar2026/05/17 22:10:51
steemdelegated 4.377 SP to @blockchainstar
2026/05/17 22:10:51
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 7119.563206 VESTS |
| Transaction Info | Block #106140972/Trx 645fea7d19bf7dfefca2c8efc9f68da4289b6e07 |
View Raw JSON Data
{
"block": 106140972,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "7119.563206 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-17T22:10:51",
"trx_id": "645fea7d19bf7dfefca2c8efc9f68da4289b6e07",
"trx_in_block": 1,
"virtual_op": 0
}steemdelegated 2.710 SP to @blockchainstar2026/05/11 19:45:06
steemdelegated 2.710 SP to @blockchainstar
2026/05/11 19:45:06
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 4407.352801 VESTS |
| Transaction Info | Block #105966033/Trx a16b847438e2a68393360d01efe54b3d2a74eee4 |
View Raw JSON Data
{
"block": 105966033,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "4407.352801 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-11T19:45:06",
"trx_id": "a16b847438e2a68393360d01efe54b3d2a74eee4",
"trx_in_block": 0,
"virtual_op": 0
}steemdelegated 4.385 SP to @blockchainstar2026/04/25 21:35:00
steemdelegated 4.385 SP to @blockchainstar
2026/04/25 21:35:00
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 7132.078962 VESTS |
| Transaction Info | Block #105508684/Trx 71e723898b4258111fad5cbac0d3e11d985c943c |
View Raw JSON Data
{
"block": 105508684,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "7132.078962 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-04-25T21:35:00",
"trx_id": "71e723898b4258111fad5cbac0d3e11d985c943c",
"trx_in_block": 0,
"virtual_op": 0
}steemdelegated 2.735 SP to @blockchainstar2026/01/23 02:21:03
steemdelegated 2.735 SP to @blockchainstar
2026/01/23 02:21:03
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 4448.899620 VESTS |
| Transaction Info | Block #102845287/Trx 900f778f733da877264cfb6b46f598de5c29111b |
View Raw JSON Data
{
"block": 102845287,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "4448.899620 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-01-23T02:21:03",
"trx_id": "900f778f733da877264cfb6b46f598de5c29111b",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 2.836 SP to @blockchainstar2024/12/16 21:40:36
steemdelegated 2.836 SP to @blockchainstar
2024/12/16 21:40:36
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 4613.118817 VESTS |
| Transaction Info | Block #91291698/Trx 2cdfb8d23ad878d4f72d0bdcf1fbccdbed4c146b |
View Raw JSON Data
{
"block": 91291698,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "4613.118817 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2024-12-16T21:40:36",
"trx_id": "2cdfb8d23ad878d4f72d0bdcf1fbccdbed4c146b",
"trx_in_block": 4,
"virtual_op": 0
}steemdelegated 2.940 SP to @blockchainstar2023/11/13 13:25:48
steemdelegated 2.940 SP to @blockchainstar
2023/11/13 13:25:48
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 4782.252349 VESTS |
| Transaction Info | Block #79845962/Trx bd3e90492811a8b356ef86eae679410bd3358d41 |
View Raw JSON Data
{
"block": 79845962,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "4782.252349 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-11-13T13:25:48",
"trx_id": "bd3e90492811a8b356ef86eae679410bd3358d41",
"trx_in_block": 7,
"virtual_op": 0
}steemdelegated 4.746 SP to @blockchainstar2023/09/21 19:25:42
steemdelegated 4.746 SP to @blockchainstar
2023/09/21 19:25:42
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 7719.531135 VESTS |
| Transaction Info | Block #78344960/Trx 2047c1b62e93fa306d6b1ee8c552f5c7bb22f992 |
View Raw JSON Data
{
"block": 78344960,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "7719.531135 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-09-21T19:25:42",
"trx_id": "2047c1b62e93fa306d6b1ee8c552f5c7bb22f992",
"trx_in_block": 6,
"virtual_op": 0
}steemdelegated 4.883 SP to @blockchainstar2022/11/03 09:29:24
steemdelegated 4.883 SP to @blockchainstar
2022/11/03 09:29:24
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 7941.212573 VESTS |
| Transaction Info | Block #69110617/Trx 9e0b96ebafe4476a26bae4147e6de7efaafd4db2 |
View Raw JSON Data
{
"block": 69110617,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "7941.212573 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-11-03T09:29:24",
"trx_id": "9e0b96ebafe4476a26bae4147e6de7efaafd4db2",
"trx_in_block": 1,
"virtual_op": 0
}steemdelegated 5.018 SP to @blockchainstar2022/01/17 08:56:00
steemdelegated 5.018 SP to @blockchainstar
2022/01/17 08:56:00
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8161.745804 VESTS |
| Transaction Info | Block #60807004/Trx e201afcbd69f4fead656cfd52ff387f29741b93c |
View Raw JSON Data
{
"block": 60807004,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8161.745804 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-01-17T08:56:00",
"trx_id": "e201afcbd69f4fead656cfd52ff387f29741b93c",
"trx_in_block": 6,
"virtual_op": 0
}steemdelegated 5.131 SP to @blockchainstar2021/06/13 22:56:09
steemdelegated 5.131 SP to @blockchainstar
2021/06/13 22:56:09
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8345.514462 VESTS |
| Transaction Info | Block #54605488/Trx 60f348513f57b189aef964cd82330ab4d44a042d |
View Raw JSON Data
{
"block": 54605488,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8345.514462 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2021-06-13T22:56:09",
"trx_id": "60f348513f57b189aef964cd82330ab4d44a042d",
"trx_in_block": 5,
"virtual_op": 0
}steemdelegated 5.246 SP to @blockchainstar2020/12/11 09:17:42
steemdelegated 5.246 SP to @blockchainstar
2020/12/11 09:17:42
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8532.936436 VESTS |
| Transaction Info | Block #49353020/Trx 60e5f831266552f642aede5857fb51b5ca30dd75 |
View Raw JSON Data
{
"block": 49353020,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8532.936436 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-11T09:17:42",
"trx_id": "60e5f831266552f642aede5857fb51b5ca30dd75",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 1.176 SP to @blockchainstar2020/12/06 02:55:09
steemdelegated 1.176 SP to @blockchainstar
2020/12/06 02:55:09
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 1912.543513 VESTS |
| Transaction Info | Block #49204593/Trx 496713333043d4c2127daeb05f069c59ebf52a1c |
View Raw JSON Data
{
"block": 49204593,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "1912.543513 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-06T02:55:09",
"trx_id": "496713333043d4c2127daeb05f069c59ebf52a1c",
"trx_in_block": 3,
"virtual_op": 0
}steemdelegated 5.250 SP to @blockchainstar2020/12/05 10:52:06
steemdelegated 5.250 SP to @blockchainstar
2020/12/05 10:52:06
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8539.303075 VESTS |
| Transaction Info | Block #49185697/Trx 68538a6064c27c8050b0377458ea83558c229150 |
View Raw JSON Data
{
"block": 49185697,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8539.303075 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-05T10:52:06",
"trx_id": "68538a6064c27c8050b0377458ea83558c229150",
"trx_in_block": 10,
"virtual_op": 0
}steemdelegated 1.181 SP to @blockchainstar2020/11/02 11:40:27
steemdelegated 1.181 SP to @blockchainstar
2020/11/02 11:40:27
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 1920.017158 VESTS |
| Transaction Info | Block #48253137/Trx 07d20828c77f7e3cdaca79979ce3f1f6cde2f547 |
View Raw JSON Data
{
"block": 48253137,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "1920.017158 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-11-02T11:40:27",
"trx_id": "07d20828c77f7e3cdaca79979ce3f1f6cde2f547",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 5.375 SP to @blockchainstar2020/05/09 03:50:21
steemdelegated 5.375 SP to @blockchainstar
2020/05/09 03:50:21
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8741.949649 VESTS |
| Transaction Info | Block #43214809/Trx 8f4a019e9e324638d6926bdc32c0eb9849fa5b00 |
View Raw JSON Data
{
"block": 43214809,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8741.949649 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-09T03:50:21",
"trx_id": "8f4a019e9e324638d6926bdc32c0eb9849fa5b00",
"trx_in_block": 0,
"virtual_op": 0
}steemdelegated 1.201 SP to @blockchainstar2020/05/08 07:09:36
steemdelegated 1.201 SP to @blockchainstar
2020/05/08 07:09:36
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 1953.311140 VESTS |
| Transaction Info | Block #43190576/Trx c7751e007a1230c659d2a7225b45533075843a1e |
View Raw JSON Data
{
"block": 43190576,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "1953.311140 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-08T07:09:36",
"trx_id": "c7751e007a1230c659d2a7225b45533075843a1e",
"trx_in_block": 1,
"virtual_op": 0
}steemdelegated 5.383 SP to @blockchainstar2020/04/15 20:24:33
steemdelegated 5.383 SP to @blockchainstar
2020/04/15 20:24:33
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8754.927068 VESTS |
| Transaction Info | Block #42561158/Trx 1aaba4c6dae6165db0005885e8cdafd03e4dda12 |
View Raw JSON Data
{
"block": 42561158,
"op": [
"delegate_vesting_shares",
{
"delegatee": "blockchainstar",
"delegator": "steem",
"vesting_shares": "8754.927068 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-04-15T20:24:33",
"trx_id": "1aaba4c6dae6165db0005885e8cdafd03e4dda12",
"trx_in_block": 21,
"virtual_op": 0
}steembeemsent 0.001 STEEM to @blockchainstar- "✨ Awesome Community Service: automated post booster and passive curation earning and more! checkout http://www.steembeem.com"2020/01/10 20:32:00
steembeemsent 0.001 STEEM to @blockchainstar- "✨ Awesome Community Service: automated post booster and passive curation earning and more! checkout http://www.steembeem.com"
2020/01/10 20:32:00
| amount | 0.001 STEEM |
| from | steembeem |
| memo | ✨ Awesome Community Service: automated post booster and passive curation earning and more! checkout http://www.steembeem.com |
| to | blockchainstar |
| Transaction Info | Block #39815637/Trx 626bdda757f87c282807752c92ffd065b1c60f60 |
View Raw JSON Data
{
"block": 39815637,
"op": [
"transfer",
{
"amount": "0.001 STEEM",
"from": "steembeem",
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2020/01/10 20:30:57
| author | steemitboard |
| body | Congratulations @blockchainstar! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@blockchainstar/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@blockchainstar) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=blockchainstar)_</sub> ###### [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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}steemdelegated 5.503 SP to @blockchainstar2019/05/12 13:39:15
steemdelegated 5.503 SP to @blockchainstar
2019/05/12 13:39:15
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 8950.549873 VESTS |
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2019/01/10 21:17:12
| author | steemitboard |
| body | Congratulations @blockchainstar! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@blockchainstar/birthday1.png</td><td>1 Year on Steemit</td></tr></table> <sub>_[Click here to view your Board](https://steemitboard.com/@blockchainstar)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steem/@steemitboard/steemwhales-has-officially-moved-to-steemitboard-ranking"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmfRVpHQhLDhnjDtqck8GPv9NPvNKPfMsDaAFDE1D9Er2Z/header_ranking.png"></a></td><td><a href="https://steemit.com/steem/@steemitboard/steemwhales-has-officially-moved-to-steemitboard-ranking">SteemWhales has officially moved to SteemitBoard Ranking</a></td></tr><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-witness-update-2019-01-07"><img src="https://steemitimages.com/64x128/http://i.cubeupload.com/7CiQEO.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-witness-update-2019-01-07">SteemitBoard - Witness Update</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**! |
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}steemdelegated 5.626 SP to @blockchainstar2018/05/16 20:08:42
steemdelegated 5.626 SP to @blockchainstar
2018/05/16 20:08:42
| delegatee | blockchainstar |
| delegator | steem |
| vesting shares | 9150.102308 VESTS |
| Transaction Info | Block #22489675/Trx 273539bdccfd5b305940fdbb51e7063e53cee4d1 |
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}blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics2018/02/13 07:07:15
blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 07:07:15
| author | blockchainstar |
| body | @@ -23,16 +23,17 @@ n, BS, M +L T, CLS ( |
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| permlink | eur-usd-shows-strong-uptrend-characteristics |
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 07:03:15
| author | blockchainstar |
| body | @@ -8596,16 +8596,17 @@ first an +d what be |
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| permlink | eur-usd-shows-strong-uptrend-characteristics |
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 07:01:30
| author | blockchainstar |
| body | By Glenford S. Robinson, BS, MT, CLS (ASCP). The EUR/USD average closing price as of 2/11/18 at about 22:00, UTC was 1.2248. Since then, however, the Market Genie has held the market above that level for a considerable amount of time, only going below the 1.2248 level once, when the market temporarily pulled back to 1.2234 on February 12, 2018 at 13:00 UTC. The Market Genie pushed the market up to the 1.2259 to 1.2260 levels, establishing support at the 1.2260 level. After establishing support at the 1.2260 level, the market continued to advance upward, hitting resistance at the 1.2295 area, where it had visited earlier in the morning at about 4am, UTC. Therefore, the revisiting or retesting of the 1.2295 area should be taken seriously because this is telling us that the Market Genie has decided to build bullish momentum to eventually push the market to higher levels, and indeed that was what happened because the market made a bullish push upward, ending up at the 1.2305 level at 23:00 UTC on Feb 12,2018. It has since regressed back to its current area of oscillation, the 1.2286-1.2290 area. Based on our statistical inferences using data points available on February 11,2018, we were able to hypothesize that the Market Genie could eventually push the market to a level close to the 1.2356 area before it is all said and done. We also concluded that if the market spend considerable time closer to our statistical range of 1.2140, say for example, spending considerable time at the 1.2205 level, this would give us the clue that the Market Genie was building up bearish momentum and is getting ready to drag the market down to an area close to the lower limit of our hypothetical range 1.2140 levels. However, as we can see on the one-hour chart, that did not happen, the opposite scenario happened instead, where the market spent a considerable amount of time closer to the upper limit of our hypothetical range of 1.2356, with our range being 1.2140 to 1.2356. Based on using the empirical formula's normal distribution concepts or three-sigma rule, we were able to conclude that at one standard deviation below or above the mean or average of the closing prices, 68% of closing prices will fall within one standard deviation of the mean or average. This left us with a probability of (32% divided by 2) 16%, which means that there is a 16% chance or a 16% probability that the Market Genie will probably push the market to an area above 1.2356 from our closing price mean or average of 1.2248, keeping in mind that the clue of this happening will be evident if the market hangs out or spends a considerable amount of time at a price point that is close to the upper limit of our range 1.2356, with 1.2140 to 1.2356 being our range derived from analyzing our data set. On the other side of the bell curve, there is a probability of (32% divided by 2) 16% or a 16% chance that the Market Genie will drag the market to a price point below our range's low limit of 1.2140. When we analyzed our data on closing prices using descriptive statistics, we identified the mean of 1.2248 which we have mentioned earlier and we identified the median of the data of closing prices that we did not mention earlier, until now. The median happens to be 1.2264 based on the data set we have chosen. Our data set did not consist of any mode specific data point, so we did not include the mode in our analysis. Therefore, moving forward, we are expecting to see the median closing price play a role in the price action of the minor trend that has begun to develop. We are calling this trend a minor trend because we do not have sufficient evidence to support the idea that this minor trend will manifest itself into a major trend. It is possible, however, that the median price of 1.2264 could evolve into a secondary average or new mean location where frequent "bounces" and mean regression or reversion could soon occur. At this point of writing this article, the market found itself at the 1.2290 price point after a temporary spike to 1.2305. The pullback to 1.2290 has been met with buyers buying in the area, and as a result of the struggle for supremacy, the market is at a standstill; when this happens, the market often moves sideways for a while before continuing on its journey up or down. But, based on what we have seen so far, we are expecting another pullback to an area close to the 1.2264 level or even an area close to the 1.2248 level, which was the original area of the original closing price average or mean. There is a 16% chance of this happening. There is also a 16% chance of the market pulling back to an area below the 1.2140 level. Again, this is highly unlikely because of the market hovering around the 1.2290 level, which is closer to the 16% chance of the market heading to an area above the upper limit of our hypothetical range of 1.2140 - 1.2356, simply because the market has spent a considerable amount of time above the original closing price mean of 1.2248. Therefore, we are expecting the minor uptrend to continue toward our range's upper limit of 1.2356. Above this limit, the probability dwindles to (5% divide by 2) 2.5% that the market will continue to push upward because in a normal distribution system or a dispersion scenario expressed by the bell curve of the three-sigma rule, 95% of the data will fall within 2 standard deviations of the mean or average. In fact, it is expected that the Market Genie will become hungry at this point and begins to eat the king fish traders for dinner, and as a result the market will decline a little bit back to the closest and most reliable support line, which is around the 1.2233 mark. Any movement lower than that will head toward the lower limit of our range of 1.2140 to 1.2356. There is a (5% divided by 2) 2.5% chance of this happening. If this happens, a massive upswing or bullish reversion will ensue taking the market back to our original average price level of 1.2248, then to 1.2264 or median closing price level and then back to the high 1.2286s to 1.2290s. Within the normal distribution realm of our three-sigma rule or a bell curve, 99.7% of the closing prices will fall within 3 standard deviations of the mean or average, which means that there is a (0.3% divided by2) 0.15% probability or 0.15% chance that the Market Genie will push the market to an area above 1.2356 or to an area below our range's low limit of 1.2140. However, these events would be "black swan" events that are unlikely and would incur large gains, or large losses if the proper risk management tools are not put in place. If any of these events were to happen, their probabilities would lie in the tail of the normal distribution bell curve. The tail of the bell curve housed the probabilities of events that are unlikely but possible to occur. Some investors are black swan investors that invest based on the occurrence of unlikely events. So, when they win, they win big. These successful swan investors limit their losses by using proper risk management techniques. So, even though they lose many times, their losses are kept to a minimum. We should mention that upon calculating and evaluating the volatility of the EUR/USD currency pair, we determine that the currency pair has a very low level of volatility based on the time frame analyzed. Standard deviation is synonymous with volatility and with a small standard deviation value, we conclude that the volatility is also low. This is telling us that it will be difficult to make money in a market that exhibits low volatility. So, in the case of the EUR/USD pair, opportunities to profit only comes sometimes. Sideways movements or ranging of the market is a regular occurrence in low volatile markets. Traders must employ different trading strategies for ranging markets and trending markets. Using the wrong trading strategy for the wrong market condition could be disastrous for traders' accounts. If the historic volatility of the S&P was to be placed under the microscope and analyze, it would reveal that the index is only profitable when a trader or an investor holds onto a position over an extended period. This is the reason why day traders lose money 95% of the time and are the poorest of all the categories of traders. While on the other hand, long term investors or traders make the most money in the financial markets. Warren buffet is a prime example of an investor that holds on to stocks for an eternity and he is one of the most successful stock investors of all time. Always remember to think risk management first an what better way to do this, but to utilize the trailing stop. Please post your responses below. |
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| parent permlink | eur-usd |
| permlink | eur-usd-shows-strong-uptrend-characteristics |
| title | EUR-USD Shows Strong Uptrend Characteristics |
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"body": "By Glenford S. Robinson, BS, MT, CLS (ASCP).\n\nThe EUR/USD average closing price as of 2/11/18 at about 22:00, UTC was 1.2248. Since then, however, the Market Genie has held the market above that level for a considerable amount of time, only going below the 1.2248 level once, when the market temporarily pulled back to 1.2234 on February 12, 2018 at 13:00 UTC.\n \nThe Market Genie pushed the market up to the 1.2259 to 1.2260 levels, establishing support at the 1.2260 level. After establishing support at the 1.2260 level, the market continued to advance upward, hitting resistance at the 1.2295 area, where it had visited earlier in the morning at about 4am, UTC.\n \nTherefore, the revisiting or retesting of the 1.2295 area should be taken seriously because this is telling us that the Market Genie has decided to build bullish momentum to eventually push the market to higher levels, and indeed that was what happened because the market made a bullish push upward, ending up at the 1.2305 level at 23:00 UTC on Feb 12,2018. It has since regressed back to its current area of oscillation, the 1.2286-1.2290 area.\n\nBased on our statistical inferences using data points available on February 11,2018, we were able to hypothesize that the Market Genie could eventually push the market to a level close to the 1.2356 area before it is all said and done. We also concluded that if the market spend considerable time closer to our statistical range of 1.2140, say for example, spending considerable time at the 1.2205 level, this would give us the clue that the Market Genie was building up bearish momentum and is getting ready to drag the market down to an area close to the lower limit of our hypothetical range 1.2140 levels.\n \nHowever, as we can see on the one-hour chart, that did not happen, the opposite scenario happened instead, where the market spent a considerable amount of time closer to the upper limit of our hypothetical range of 1.2356, with our range being 1.2140 to 1.2356. Based on using the empirical formula's normal distribution concepts or three-sigma rule, we were able to conclude that at one standard deviation below or above the mean or average of the closing prices, 68% of closing prices will fall within one standard deviation of the mean or average.\n \nThis left us with a probability of (32% divided by 2) 16%, which means that there is a 16% chance or a 16% probability that the Market Genie will probably push the market to an area above 1.2356 from our closing price mean or average of 1.2248, keeping in mind that the clue of this happening will be evident if the market hangs out or spends a considerable amount of time at a price point that is close to the upper limit of our range 1.2356, with 1.2140 to 1.2356 being our range derived from analyzing our data set. On the other side of the bell curve, there is a probability of (32% divided by 2) 16% or a 16% chance that the Market Genie will drag the market to a price point below our range's low limit of 1.2140.\n\nWhen we analyzed our data on closing prices using descriptive statistics, we identified the mean of 1.2248 which we have mentioned earlier and we identified the median of the data of closing prices that we did not mention earlier, until now. The median happens to be 1.2264 based on the data set we have chosen. Our data set did not consist of any mode specific data point, so we did not include the mode in our analysis.\n \nTherefore, moving forward, we are expecting to see the median closing price play a role in the price action of the minor trend that has begun to develop. We are calling this trend a minor trend because we do not have sufficient evidence to support the idea that this minor trend will manifest itself into a major trend. It is possible, however, that the median price of 1.2264 could evolve into a secondary average or new mean location where frequent \"bounces\" and mean regression or reversion could soon occur. At this point of writing this article, the market found itself at the 1.2290 price point after a temporary spike to 1.2305. The pullback to 1.2290 has been met with buyers buying in the area, and as a result of the struggle for supremacy, the market is at a standstill; when this happens, the market often moves sideways for a while before continuing on its journey up or down. But, based on what we have seen so far, we are expecting another pullback to an area close to the 1.2264 level or even an area close to the 1.2248 level, which was the original area of the original closing price average or mean. There is a 16% chance of this happening.\n \nThere is also a 16% chance of the market pulling back to an area below the 1.2140 level. Again, this is highly unlikely because of the market hovering around the 1.2290 level, which is closer to the 16% chance of the market heading to an area above the upper limit of our hypothetical range of 1.2140 - 1.2356, simply because the market has spent a considerable amount of time above the original closing price mean of 1.2248.\n \nTherefore, we are expecting the minor uptrend to continue toward our range's upper limit of 1.2356. Above this limit, the probability dwindles to (5% divide by 2) 2.5% that the market will continue to push upward because in a normal distribution system or a dispersion scenario expressed by the bell curve of the three-sigma rule, 95% of the data will fall within 2 standard deviations of the mean or average. In fact, it is expected that the Market Genie will become hungry at this point and begins to eat the king fish traders for dinner, and as a result the market will decline a little bit back to the closest and most reliable support line, which is around the 1.2233 mark. Any movement lower than that will head toward the lower limit of our range of 1.2140 to 1.2356. There is a (5% divided by 2) 2.5% chance of this happening. If this happens, a massive upswing or bullish reversion will ensue taking the market back to our original average price level of 1.2248, then to 1.2264 or median closing price level and then back to the high 1.2286s to 1.2290s.\n\nWithin the normal distribution realm of our three-sigma rule or a bell curve, 99.7% of the closing prices will fall within 3 standard deviations of the mean or average, which means that there is a (0.3% divided by2) 0.15% probability or 0.15% chance that the Market Genie will push the market to an area above 1.2356 or to an area below our range's low limit of 1.2140. However, these events would be \"black swan\" events that are unlikely and would incur large gains, or large losses if the proper risk management tools are not put in place. If any of these events were to happen, their probabilities would lie in the tail of the normal distribution bell curve.\n \nThe tail of the bell curve housed the probabilities of events that are unlikely but possible to occur. Some investors are black swan investors that invest based on the occurrence of unlikely events. So, when they win, they win big. These successful swan investors limit their losses by using proper risk management techniques. So, even though they lose many times, their losses are kept to a minimum.\n\nWe should mention that upon calculating and evaluating the volatility of the EUR/USD currency pair, we determine that the currency pair has a very low level of volatility based on the time frame analyzed. Standard deviation is synonymous with volatility and with a small standard deviation value, we conclude that the volatility is also low. This is telling us that it will be difficult to make money in a market that exhibits low volatility. So, in the case of the EUR/USD pair, opportunities to profit only comes sometimes. Sideways movements or ranging of the market is a regular occurrence in low volatile markets. Traders must employ different trading strategies for ranging markets and trending markets. Using the wrong trading strategy for the wrong market condition could be disastrous for traders' accounts.\n\nIf the historic volatility of the S&P was to be placed under the microscope and analyze, it would reveal that the index is only profitable when a trader or an investor holds onto a position over an extended period. This is the reason why day traders lose money 95% of the time and are the poorest of all the categories of traders. While on the other hand, long term investors or traders make the most money in the financial markets. Warren buffet is a prime example of an investor that holds on to stocks for an eternity and he is one of the most successful stock investors of all time. \n\nAlways remember to think risk management first an what better way to do this, but to utilize the trailing stop.\n\nPlease post your responses below.",
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 07:00:27
| author | blockchainstar |
| body | @@ -1,12 +1,58 @@ +By Glenford S. Robinson, BS, MT, CLS (ASCP).%0A%0A The EUR/USD |
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 06:58:03
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| body | @@ -2847,20 +2847,16 @@ %25 chance - 16%25 that th |
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 06:53:30
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| body | @@ -2951,16 +2951,17 @@ 1.2140.%0A +%0A When we |
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}blockchainstarupvoted (100.00%) @blockchainstar / eur-usd-shows-strong-uptrend-characteristics2018/02/13 06:49:30
blockchainstarupvoted (100.00%) @blockchainstar / eur-usd-shows-strong-uptrend-characteristics
2018/02/13 06:49:30
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blockchainstarpublished a new post: eur-usd-shows-strong-uptrend-characteristics
2018/02/13 06:49:30
| author | blockchainstar |
| body | The EUR/USD average closing price as of 2/11/18 at about 22:00, UTC was 1.2248. Since then, however, the Market Genie has held the market above that level for a considerable amount of time, only going below the 1.2248 level once, when the market temporarily pulled back to 1.2234 on February 12, 2018 at 13:00 UTC. The Market Genie pushed the market up to the 1.2259 to 1.2260 levels, establishing support at the 1.2260 level. After establishing support at the 1.2260 level, the market continued to advance upward, hitting resistance at the 1.2295 area, where it had visited earlier in the morning at about 4am, UTC. Therefore, the revisiting or retesting of the 1.2295 area should be taken seriously because this is telling us that the Market Genie has decided to build bullish momentum to eventually push the market to higher levels, and indeed that was what happened because the market made a bullish push upward, ending up at the 1.2305 level at 23:00 UTC on Feb 12,2018. It has since regressed back to its current area of oscillation, the 1.2286-1.2290 area. Based on our statistical inferences using data points available on February 11,2018, we were able to hypothesize that the Market Genie could eventually push the market to a level close to the 1.2356 area before it is all said and done. We also concluded that if the market spend considerable time closer to our statistical range of 1.2140, say for example, spending considerable time at the 1.2205 level, this would give us the clue that the Market Genie was building up bearish momentum and is getting ready to drag the market down to an area close to the lower limit of our hypothetical range 1.2140 levels. However, as we can see on the one-hour chart, that did not happen, the opposite scenario happened instead, where the market spent a considerable amount of time closer to the upper limit of our hypothetical range of 1.2356, with our range being 1.2140 to 1.2356. Based on using the empirical formula's normal distribution concepts or three-sigma rule, we were able to conclude that at one standard deviation below or above the mean or average of the closing prices, 68% of closing prices will fall within one standard deviation of the mean or average. This left us with a probability of (32% divided by 2) 16%, which means that there is a 16% chance or a 16% probability that the Market Genie will probably push the market to an area above 1.2356 from our closing price mean or average of 1.2248, keeping in mind that the clue of this happening will be evident if the market hangs out or spends a considerable amount of time at a price point that is close to the upper limit of our range 1.2356, with 1.2140 to 1.2356 being our range derived from analyzing our data set. On the other side of the bell curve, there is a probability of (32% divided by 2) 16% or a 16% chance 16% that the Market Genie will drag the market to a price point below our range's low limit of 1.2140. When we analyzed our data on closing prices using descriptive statistics, we identified the mean of 1.2248 which we have mentioned earlier and we identified the median of the data of closing prices that we did not mention earlier, until now. The median happens to be 1.2264 based on the data set we have chosen. Our data set did not consist of any mode specific data point, so we did not include the mode in our analysis. Therefore, moving forward, we are expecting to see the median closing price play a role in the price action of the minor trend that has begun to develop. We are calling this trend a minor trend because we do not have sufficient evidence to support the idea that this minor trend will manifest itself into a major trend. It is possible, however, that the median price of 1.2264 could evolve into a secondary average or new mean location where frequent "bounces" and mean regression or reversion could soon occur. At this point of writing this article, the market found itself at the 1.2290 price point after a temporary spike to 1.2305. The pullback to 1.2290 has been met with buyers buying in the area, and as a result of the struggle for supremacy, the market is at a standstill; when this happens, the market often moves sideways for a while before continuing on its journey up or down. But, based on what we have seen so far, we are expecting another pullback to an area close to the 1.2264 level or even an area close to the 1.2248 level, which was the original area of the original closing price average or mean. There is a 16% chance of this happening. There is also a 16% chance of the market pulling back to an area below the 1.2140 level. Again, this is highly unlikely because of the market hovering around the 1.2290 level, which is closer to the 16% chance of the market heading to an area above the upper limit of our hypothetical range of 1.2140 - 1.2356, simply because the market has spent a considerable amount of time above the original closing price mean of 1.2248. Therefore, we are expecting the minor uptrend to continue toward our range's upper limit of 1.2356. Above this limit, the probability dwindles to (5% divide by 2) 2.5% that the market will continue to push upward because in a normal distribution system or a dispersion scenario expressed by the bell curve of the three-sigma rule, 95% of the data will fall within 2 standard deviations of the mean or average. In fact, it is expected that the Market Genie will become hungry at this point and begins to eat the king fish traders for dinner, and as a result the market will decline a little bit back to the closest and most reliable support line, which is around the 1.2233 mark. Any movement lower than that will head toward the lower limit of our range of 1.2140 to 1.2356. There is a (5% divided by 2) 2.5% chance of this happening. If this happens, a massive upswing or bullish reversion will ensue taking the market back to our original average price level of 1.2248, then to 1.2264 or median closing price level and then back to the high 1.2286s to 1.2290s. Within the normal distribution realm of our three-sigma rule or a bell curve, 99.7% of the closing prices will fall within 3 standard deviations of the mean or average, which means that there is a (0.3% divided by2) 0.15% probability or 0.15% chance that the Market Genie will push the market to an area above 1.2356 or to an area below our range's low limit of 1.2140. However, these events would be "black swan" events that are unlikely and would incur large gains, or large losses if the proper risk management tools are not put in place. If any of these events were to happen, their probabilities would lie in the tail of the normal distribution bell curve. The tail of the bell curve housed the probabilities of events that are unlikely but possible to occur. Some investors are black swan investors that invest based on the occurrence of unlikely events. So, when they win, they win big. These successful swan investors limit their losses by using proper risk management techniques. So, even though they lose many times, their losses are kept to a minimum. We should mention that upon calculating and evaluating the volatility of the EUR/USD currency pair, we determine that the currency pair has a very low level of volatility based on the time frame analyzed. Standard deviation is synonymous with volatility and with a small standard deviation value, we conclude that the volatility is also low. This is telling us that it will be difficult to make money in a market that exhibits low volatility. So, in the case of the EUR/USD pair, opportunities to profit only comes sometimes. Sideways movements or ranging of the market is a regular occurrence in low volatile markets. Traders must employ different trading strategies for ranging markets and trending markets. Using the wrong trading strategy for the wrong market condition could be disastrous for traders' accounts. If the historic volatility of the S&P was to be placed under the microscope and analyze, it would reveal that the index is only profitable when a trader or an investor holds onto a position over an extended period. This is the reason why day traders lose money 95% of the time and are the poorest of all the categories of traders. While on the other hand, long term investors or traders make the most money in the financial markets. Warren buffet is a prime example of an investor that holds on to stocks for an eternity and he is one of the most successful stock investors of all time. Always remember to think risk management first an what better way to do this, but to utilize the trailing stop. Please post your responses below. |
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"body": "The EUR/USD average closing price as of 2/11/18 at about 22:00, UTC was 1.2248. Since then, however, the Market Genie has held the market above that level for a considerable amount of time, only going below the 1.2248 level once, when the market temporarily pulled back to 1.2234 on February 12, 2018 at 13:00 UTC.\n \nThe Market Genie pushed the market up to the 1.2259 to 1.2260 levels, establishing support at the 1.2260 level. After establishing support at the 1.2260 level, the market continued to advance upward, hitting resistance at the 1.2295 area, where it had visited earlier in the morning at about 4am, UTC.\n \nTherefore, the revisiting or retesting of the 1.2295 area should be taken seriously because this is telling us that the Market Genie has decided to build bullish momentum to eventually push the market to higher levels, and indeed that was what happened because the market made a bullish push upward, ending up at the 1.2305 level at 23:00 UTC on Feb 12,2018. It has since regressed back to its current area of oscillation, the 1.2286-1.2290 area.\n\nBased on our statistical inferences using data points available on February 11,2018, we were able to hypothesize that the Market Genie could eventually push the market to a level close to the 1.2356 area before it is all said and done. We also concluded that if the market spend considerable time closer to our statistical range of 1.2140, say for example, spending considerable time at the 1.2205 level, this would give us the clue that the Market Genie was building up bearish momentum and is getting ready to drag the market down to an area close to the lower limit of our hypothetical range 1.2140 levels.\n \nHowever, as we can see on the one-hour chart, that did not happen, the opposite scenario happened instead, where the market spent a considerable amount of time closer to the upper limit of our hypothetical range of 1.2356, with our range being 1.2140 to 1.2356. Based on using the empirical formula's normal distribution concepts or three-sigma rule, we were able to conclude that at one standard deviation below or above the mean or average of the closing prices, 68% of closing prices will fall within one standard deviation of the mean or average.\n \nThis left us with a probability of (32% divided by 2) 16%, which means that there is a 16% chance or a 16% probability that the Market Genie will probably push the market to an area above 1.2356 from our closing price mean or average of 1.2248, keeping in mind that the clue of this happening will be evident if the market hangs out or spends a considerable amount of time at a price point that is close to the upper limit of our range 1.2356, with 1.2140 to 1.2356 being our range derived from analyzing our data set. On the other side of the bell curve, there is a probability of (32% divided by 2) 16% or a 16% chance 16% that the Market Genie will drag the market to a price point below our range's low limit of 1.2140.\nWhen we analyzed our data on closing prices using descriptive statistics, we identified the mean of 1.2248 which we have mentioned earlier and we identified the median of the data of closing prices that we did not mention earlier, until now. The median happens to be 1.2264 based on the data set we have chosen. Our data set did not consist of any mode specific data point, so we did not include the mode in our analysis.\n \nTherefore, moving forward, we are expecting to see the median closing price play a role in the price action of the minor trend that has begun to develop. We are calling this trend a minor trend because we do not have sufficient evidence to support the idea that this minor trend will manifest itself into a major trend. It is possible, however, that the median price of 1.2264 could evolve into a secondary average or new mean location where frequent \"bounces\" and mean regression or reversion could soon occur. At this point of writing this article, the market found itself at the 1.2290 price point after a temporary spike to 1.2305. The pullback to 1.2290 has been met with buyers buying in the area, and as a result of the struggle for supremacy, the market is at a standstill; when this happens, the market often moves sideways for a while before continuing on its journey up or down. But, based on what we have seen so far, we are expecting another pullback to an area close to the 1.2264 level or even an area close to the 1.2248 level, which was the original area of the original closing price average or mean. There is a 16% chance of this happening.\n \nThere is also a 16% chance of the market pulling back to an area below the 1.2140 level. Again, this is highly unlikely because of the market hovering around the 1.2290 level, which is closer to the 16% chance of the market heading to an area above the upper limit of our hypothetical range of 1.2140 - 1.2356, simply because the market has spent a considerable amount of time above the original closing price mean of 1.2248.\n \nTherefore, we are expecting the minor uptrend to continue toward our range's upper limit of 1.2356. Above this limit, the probability dwindles to (5% divide by 2) 2.5% that the market will continue to push upward because in a normal distribution system or a dispersion scenario expressed by the bell curve of the three-sigma rule, 95% of the data will fall within 2 standard deviations of the mean or average. In fact, it is expected that the Market Genie will become hungry at this point and begins to eat the king fish traders for dinner, and as a result the market will decline a little bit back to the closest and most reliable support line, which is around the 1.2233 mark. Any movement lower than that will head toward the lower limit of our range of 1.2140 to 1.2356. There is a (5% divided by 2) 2.5% chance of this happening. If this happens, a massive upswing or bullish reversion will ensue taking the market back to our original average price level of 1.2248, then to 1.2264 or median closing price level and then back to the high 1.2286s to 1.2290s.\n\nWithin the normal distribution realm of our three-sigma rule or a bell curve, 99.7% of the closing prices will fall within 3 standard deviations of the mean or average, which means that there is a (0.3% divided by2) 0.15% probability or 0.15% chance that the Market Genie will push the market to an area above 1.2356 or to an area below our range's low limit of 1.2140. However, these events would be \"black swan\" events that are unlikely and would incur large gains, or large losses if the proper risk management tools are not put in place. If any of these events were to happen, their probabilities would lie in the tail of the normal distribution bell curve.\n \nThe tail of the bell curve housed the probabilities of events that are unlikely but possible to occur. Some investors are black swan investors that invest based on the occurrence of unlikely events. So, when they win, they win big. These successful swan investors limit their losses by using proper risk management techniques. So, even though they lose many times, their losses are kept to a minimum.\n\nWe should mention that upon calculating and evaluating the volatility of the EUR/USD currency pair, we determine that the currency pair has a very low level of volatility based on the time frame analyzed. Standard deviation is synonymous with volatility and with a small standard deviation value, we conclude that the volatility is also low. This is telling us that it will be difficult to make money in a market that exhibits low volatility. So, in the case of the EUR/USD pair, opportunities to profit only comes sometimes. Sideways movements or ranging of the market is a regular occurrence in low volatile markets. Traders must employ different trading strategies for ranging markets and trending markets. Using the wrong trading strategy for the wrong market condition could be disastrous for traders' accounts.\n\nIf the historic volatility of the S&P was to be placed under the microscope and analyze, it would reveal that the index is only profitable when a trader or an investor holds onto a position over an extended period. This is the reason why day traders lose money 95% of the time and are the poorest of all the categories of traders. While on the other hand, long term investors or traders make the most money in the financial markets. Warren buffet is a prime example of an investor that holds on to stocks for an eternity and he is one of the most successful stock investors of all time. \n\nAlways remember to think risk management first an what better way to do this, but to utilize the trailing stop.\n\nPlease post your responses below.",
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}uche1upvoted (100.00%) @blockchainstar / eur-usd-bears-have-escaped-and-ended-up-in-bulls-camp2018/02/12 08:08:45
uche1upvoted (100.00%) @blockchainstar / eur-usd-bears-have-escaped-and-ended-up-in-bulls-camp
2018/02/12 08:08:45
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}blockchainstarfollowed @steemitpowerbot2018/02/11 22:25:39
blockchainstarfollowed @steemitpowerbot
2018/02/11 22:25:39
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blockchainstarupvoted (100.00%) @sryashbd666 / childhood-fighting
2018/02/11 22:24:09
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2018/02/11 22:20:45
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2018/02/11 22:19:45
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2018/02/10 03:16:00
| author | blockchainstar |
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2018/02/09 17:13:21
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2018/02/09 16:55:51
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2018/02/09 16:53:00
| author | blockchainstar |
| body | @@ -1143,16 +1143,17 @@ s always +, Blockch @@ -1229,20 +1229,20 @@ g things - to +-to- do list. |
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2018/02/09 16:49:45
| author | blockchainstar |
| body | The 1.2238 level has proven to be a very strong support area for the EUR/USD currency pair. This is telling us that despite the dramatic plunge from recent highs, bullish traders feel very comfortable gobbling up pips at the 1.2238 area. They could be unloading these pips at the 1.2274 level, which is the resistance area on the one minute chart. So, bullish traders turned into bearish traders as soon as the Market Genie pushes the market to the 1.2274 level. The majority of king fish (bearish) traders are still waiting for the Market Genie to push the market down beyond the 1.2238 level. They may be in for a temporary treat from the Market Genie. This is because today is Friday, February 9, 2018 and the Friday pullback will begin to play a role in where the market ends up. The Friday pullback is usually a bearish action by the Market Genie, although this phenomenon has ended up being bullish at times, but based on the current personality of the market, the BlockchainStar trading team is expecting a bearish end to the day as opposed to a bullish one, with the market probably ending up around the 1.2232 area for the day. As always BlockchainStar Girls and Star Boys, put risk management first on your trading things to do list. The Trailing Stop has prevented many catastrophes in trading. So, employ it as your risk management tool. Please comment below. |
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2018/02/09 16:42:57
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2018/02/09 16:42:57
| author | blockchainstar |
| body | The 1.2238 level has proven to be a very strong support area for the EUR/USD currency pair. This is telling us that despite the dramatic plunge from recent highs, bullish traders feel very comfortable gobbling up pips at the 1.2238 area. They could be unloading these pips at the 1.2274 level, which is the resistance area on the one minute chart. So, bullish traders turned into bearish traders as soon as the Market Genie pushes the market to the 1.2274 level. The majority of king fish (bearish) traders are still waiting for the Market Genie to push the market down beyond the 1.2238 level. They may be in for a temporary treat from the Market Genie. This is because today is Friday, February 9, 2018 and the Friday pullback will begin to play a role in where the market ends up. The Friday pullback is usually a bearish action by the Market Genie, although this phenomenon has ended up being bullish at times, but based on the current personality of the market, the BlockchainStar trading team is expecting a bearish end to the day as opposed to a bullish one, with the market probably ending up around the 1.2232 area for the day. As always BlockchainStar Girls and Star Boys, put risk management first on your trading things to do list. The Trailing Stop has prevented many catastrophes in trading. So, employ it as your risk management tool. Please comment below. |
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blockchainstarfollowed @sryashbd666
2018/02/09 07:00:45
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}blockchainstarupvoted (100.00%) @steemitboard / steemitboard-notify-blockchainstar-20180209t064405000z2018/02/09 06:49:30
blockchainstarupvoted (100.00%) @steemitboard / steemitboard-notify-blockchainstar-20180209t064405000z
2018/02/09 06:49:30
| author | steemitboard |
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2018/02/09 06:44:03
| author | steemitboard |
| body | Congratulations @blockchainstar! You have completed some achievement on Steemit and have been rewarded with new badge(s) : [](http://steemitboard.com/@blockchainstar) Award for the number of posts published 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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2018/02/09 06:43:06
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2018/02/09 06:42:45
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2018/02/09 06:41:45
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2018/02/09 06:40:27
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}blockchainstarpublished a new post: eur-usd-plunged-violently-from-1-2521-to-1-2212-market-genie-to-blame2018/02/09 06:40:27
blockchainstarpublished a new post: eur-usd-plunged-violently-from-1-2521-to-1-2212-market-genie-to-blame
2018/02/09 06:40:27
| author | blockchainstar |
| body | EUR/USD, the world's most traded currency pair, plunged violently from a high of 1.2521 on February 1st at approximately 15:00 UTC to a low of 1.2212 on February 8, 2018 at approximately 07:00 UTC. This is a loss of over 300 pips. With such a large drop in value, our outlook on the EUR/USD currency pair is Mixed to Bearish. Until something happens that dramatically reverse this Bearish trend, we will continue to perceive the pair as a Mixed bag with a Bearish undertone. The Market Genie has begun to take profits from the Bulls in the process, giving the Bears scraps to feed on. For the longest time the Market Genie was up in arms with the Bulls talking and laughing, hanging out together in bars drinking beverages, like nothing mattered. But little did the Bulls know that the Market Genie was planning a reversal to take all their money when they least expected. Well, this is what happens when traders are up in arms with the Market Genie, bad things usually happens. Never trust the Market Genie, it will eat you alive. BlockchainStar Girls and Star Boys, just know how to identify where the Market Genie is roaming and when you do, your trading success will be realized. Remember that the Market Genie has a way of dragging the Market from left to right, up and down. So, you got to know what the Market Genie is doing at all times in order to win the battle against this elusive creature. Always remember to employ proper risk management strategies in your trading. Defense wins games! Please post your comments below. |
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| title | EUR-USD Plunged Violently From 1.2521 to 1.2212, Market Genie to Blame |
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"body": "EUR/USD, the world's most traded currency pair, plunged violently from a high of 1.2521 on February 1st at approximately 15:00 UTC to a low of 1.2212 on February 8, 2018 at approximately 07:00 UTC. This is a loss of over 300 pips. With such a large drop in value, our outlook on the EUR/USD currency pair is Mixed to Bearish. Until something happens that dramatically reverse this Bearish trend, we will continue to perceive the pair as a Mixed bag with a Bearish undertone.\n\nThe Market Genie has begun to take profits from the Bulls in the process, giving the Bears scraps to feed on. For the longest time the Market Genie was up in arms with the Bulls talking and laughing, hanging out together in bars drinking beverages, like nothing mattered. But little did the Bulls know that the Market Genie was planning a reversal to take all their money when they least expected. Well, this is what happens when traders are up in arms with the Market Genie, bad things usually happens. Never trust the Market Genie, it will eat you alive.\n\nBlockchainStar Girls and Star Boys, just know how to identify where the Market Genie is roaming and when you do, your trading success will be realized. Remember that the Market Genie has a way of dragging the Market from left to right, up and down. So, you got to know what the Market Genie is doing at all times in order to win the battle against this elusive creature. \n\nAlways remember to employ proper risk management strategies in your trading. Defense wins games!\n\nPlease post your comments below.",
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2018/02/08 18:45:09
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2018/02/08 18:44:12
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}blockchainstarupvoted (100.00%) @blockchainstar / eur-usd-bears-have-escaped-and-ended-up-in-bulls-camp2018/02/08 18:26:36
blockchainstarupvoted (100.00%) @blockchainstar / eur-usd-bears-have-escaped-and-ended-up-in-bulls-camp
2018/02/08 18:26:36
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blockchainstarpublished a new post: eur-usd-bears-have-escaped-and-ended-up-in-bulls-camp
2018/02/08 18:26:36
| author | blockchainstar |
| body | The bears have been lashed so badly by the Market Genie and as a result, 41% of them have escaped and ran for cover ending up in the bull camp, now fully converted to king fish bulls. The thing is that where ever the king fish traders gather, the Alligator Market Genie follows. So, as expected, the Alligator has begun to tear the king fish bulls fleshes apart the same way the Alligator mutilated the fleshes of the king fish bears a couple moons ago. The Alligator Market Genie pushed the market down from the low 1.2500s, 1.2520 to be exact, to the low to mid 1.2200s, such a drastic and severe drop hasn’t been seen in quite a while, such a drop have caused the exodus of bearish king fish traders to run for dear life ending up as bulls who are now beginning to feel the wrath of the Market Genie, which is evident in the market plunging from 1.2520 around 6am on the 2nd of February, 2018. The fact that there is such a mass exodus of bearish sellers, converting to bullish buyers that is telling us that there could be a drastic shift in the major trend. But, to be sure, we would have to wait and see if this is really the case. In any case, BlockchainStar Girls and Star Boys should take precautionary measures to guard themselves against rapid market moves in any direction and what better way to do so, but by employing the famous Trailing Stop risk management tool. |
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}blockchainstarupvoted (100.00%) @blockchainstar / re-helbrassen-4cpfrd3y-20180208t061121614z2018/02/08 06:11:30
blockchainstarupvoted (100.00%) @blockchainstar / re-helbrassen-4cpfrd3y-20180208t061121614z
2018/02/08 06:11:30
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2018/02/08 06:11:18
| author | blockchainstar |
| body | Cute kitty, indeed. I was raised with cats. I love cats very much. |
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}blockchainstarupvoted (100.00%) @helbrassen / 4cpfrd3y2018/02/08 06:09:15
blockchainstarupvoted (100.00%) @helbrassen / 4cpfrd3y
2018/02/08 06:09:15
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blockchainstarfollowed @helbrassen
2018/02/08 06:09:00
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blockchainstarfollowed @sharenow
2018/02/08 06:08:54
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2018/02/07 17:34:57
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2018/02/07 17:34:42
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2018/02/07 17:34:27
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2018/02/07 17:32:24
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2018/02/07 17:32:03
| author | blockchainstar |
| body | If people pay too much attention to the mass media, they will sell all their cryptocurrencies. However, if people stay away from media bias, they will enjoy the fruits of holding on to their cryptocurrencies. Why would someone sell their bitcoin holdings because the price went down? But this is exactly what some weak investors are doing. They are just giving their money away to the Market Genie who continues to gobble up cheep bitcoins and other cryptocurrencies. Be wise my fellow steemians and hold onto your investment, don't let the mass media scares you into selling your bitcoins or any other cryptocurrency you might have. |
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2018/02/07 17:26:12
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}blockchainstarupvoted (100.00%) @vivekkanade / very-important-message-about-bitcoin2018/02/07 17:26:03
blockchainstarupvoted (100.00%) @vivekkanade / very-important-message-about-bitcoin
2018/02/07 17:26:03
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0 / 30
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[]