Transaction
ID: df9d5161d8...1a45
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0325 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
2.92 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0131 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.94 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 837,807
Total coins transferred: 2.95 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000337 ERG
Raw Transaction Data
{
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"blockId": "f71b5385bb11a14cb1f826e0289a93fb1c75b1d2bb495587e8a0786663e028a4",
"inclusionHeight": 935459,
"timestamp": 1675807798590,
"index": 4,
"globalIndex": 4726880,
"numConfirmations": 837807,
"inputs": [
{
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"outputGlobalIndex": 26267581,
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"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"amount": 5000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"index": 0,
"amount": 900,
"name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 500,
"name": "Put_A_fakeUSD_ERG_12064999_2023-02-11_per_2",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b877129b1af9512cdee24f6d90df2455b05a09291efdb915fd64369ca653e86a",
"index": 2,
"amount": 10,
"name": "Call_A_Oatmeal_ERG_1000000_2023-02-11_per_1",
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},
{
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"index": 3,
"amount": 948286,
"name": "fakeUSD",
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},
{
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"index": 4,
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},
{
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"index": 5,
"amount": 900,
"name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "b10b0560d9af6b75b80d071814623ac4698246276cbe99f5dd60901a6dd7b430",
"index": 6,
"amount": 1,
"name": "CYTI Blob 5/10",
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"type": "EIP-004"
},
{
"tokenId": "787408dd53418d3fd71fdfc0fe5bd883d415b00e1436e3a4acba71add2f59c94",
"index": 7,
"amount": 300,
"name": "Call_A_Call_A_fakeUSD_ERG_1206500_2023-04-30_per_1_ERG_1206500_2023-04-30_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 9,
"name": "Put_A_CYTI Blob 5/10_ERG_72350_2023-05-02_per_1",
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"type": "EIP-004"
},
{
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"index": 9,
"amount": 500,
"name": "Call_E_fakeUSD_ERG_1206500_2023-04-30_per_2",
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},
{
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"amount": 10,
"name": "Put_A_fakeUSD_ERG_333333_2023-04-30_per_1",
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{
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"name": "Call_A_fakeUSD_ERG_222222_2023-04-30_per_2",
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{
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"index": 12,
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "73be81eca30e78076f0be24d9cc5a55a8ee923e633bb7be6fc083eacc050e169",
"transactionId": "df9d5161d83aa410192f41a320dc9a6f9aa379b2025c4b0fc728e5b883bb1a45",
"blockId": "f71b5385bb11a14cb1f826e0289a93fb1c75b1d2bb495587e8a0786663e028a4",
"value": 13100000,
"index": 0,
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"creationHeight": 935457,
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"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-19,-59,-50,49,47,-86,1,-38,-35,90,70,-9,-54,-60,-61,-90,-44,113,31,-17,-75,118,28,-70,-58,-28,-80,-18,86,-95,32,93)\n1: 0\n2: 0\n3: 1\n4: 0\n5: 0\n6: 4\n7: 0\n8: 0\n9: 0\n10: 2\n11: 4\n12: 0\n13: 0\n14: 6\n15: 1000000\n16: false\n17: 0\n18: 1\n19: false\n20: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val coll2 = placeholder[Coll[Byte]](0)\n val tuple3 = (Coll[Byte](), placeholder[Long](1))\n val tuple4 = SELF.tokens.getOrElse(placeholder[Int](2), tuple3)\n val l5 = tuple4._2\n val box6 = OUTPUTS(placeholder[Int](3))\n val tuple7 = box6.tokens.getOrElse(placeholder[Int](4), tuple3)\n val l8 = tuple7._2\n prop1 && sigmaProp(blake2b256(OUTPUTS(placeholder[Int](5)).propositionBytes) != coll2) || sigmaProp(\n if ((OUTPUTS.size == placeholder[Int](6)) && (l5 > placeholder[Long](7))) {(\n val box9 = SELF.R5[Box].get\n val bool10 = tuple4._1 == box9.id\n val coll11 = box9.R8[Coll[Long]].get\n val l12 = coll11(placeholder[Int](8))\n val l13 = box6.value\n val l14 = if (bool10) { l5 } else { placeholder[Long](9) } * coll11(placeholder[Int](10))\n val l15 = l14 * coll11(placeholder[Int](11))\n ((bool10 && (blake2b256(box9.propositionBytes) == coll2)) && (box6.propositionBytes == prop1.propBytes)) && (\n if ((l8 > placeholder[Long](12)) && (l12 == placeholder[Long](13))) {\n ((l13 >= SELF.value - coll11(placeholder[Int](14)) - placeholder[Long](15) - l15) && (tuple7._1 == box9.R5[Coll[Byte]].get)) && (l8 == l14)\n } else { placeholder[Boolean](16) } || if ((l8 == placeholder[Long](17)) && (l12 == placeholder[Long](18))) { l13 >= l15 } else {\n placeholder[Boolean](19)\n }\n )\n )} else { placeholder[Boolean](20) }\n )\n}",
"address": "2k6W1ZgQrU9znngCRDLe6UXMtkJGtvjc7Dm5pGN88KwSJynde4qUKYT3SQj2DwYxWhiJJBd73cnMDjt6mWJkFrKdRU3Z2gpephqejHnZVAe5mpCLvqqREJYDoV9Q9p5xzDJJzE43RKmGDc2M9rdNzYh9z6LSmwpJQXqftZfMoqK29Qjr1oC1v7qpk57CcCSL9G8d68QjEbDVNnnZTcnXcGcWLCfcjEamwCq9wEavTWLmn73xefYmNvBDjZLQv8XgGY3hjNTRsJ8YXt3KjMYnSBAgSjG6obxtNs1KJSJNPFYhBU1R1yHBxt3kjCwxVfC154q4ydoBGpRx49ZDERxxiahTpxqRvzYw6Nm2dZzwCmnME5MMNZoeyySdKZnLZPy3s9HF26ef7RqNAxcLemNkfwGijnAFv6ikj7TtX4RW4NofDq4gjTeaKFZFpt9tUGZdxjomJ8GNJ7sp",
"assets": [
{
"tokenId": "b877129b1af9512cdee24f6d90df2455b05a09291efdb915fd64369ca653e86a",
"index": 0,
"amount": 10,
"name": "Call_A_Oatmeal_ERG_1000000_2023-02-11_per_1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
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