Transaction
ID: fd6c7e75a8...d4b0
Inputs (25)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
11.65
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
6
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
23.27
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
1.03 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
225.23
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.02 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 491,319
Total coins transferred: 1.03 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000521 ERG
Raw Transaction Data
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"ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = opt1.get\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n val opt4 = SELF.R5[Coll[Long]]\n val opt5 = SELF.R6[Coll[Long]]\n val opt6 = SELF.R7[Coll[Byte]]\n val coll7 = SELF.R8[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1))\n val l9 = coll7(placeholder[Int](2))\n val l10 = coll7(placeholder[Int](3))\n val l11 = CONTEXT.preHeader.timestamp\n val coll12 = opt4.get\n val coll13 = SELF.tokens\n val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n val l15 = box14.R6[Long].get\n val l16 = SELF.value\n val coll17 = Coll[Byte]()\n val coll18 = opt6.get\n val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n val coll20 = tuple19._1\n val i21 = coll20.size\n val bool22 = i21 == placeholder[Int](6)\n val box23 = INPUTS(placeholder[Int](7))\n val coll24 = box23.id\n val coll25 = SELF.id\n val bool26 = coll24 == coll25\n val i27 = placeholder[Int](8)\n val i28 = placeholder[Int](9)\n val i29 = if (bool26) { i27 } else { i28 }\n val i30 = i29 + placeholder[Int](10)\n val box31 = OUTPUTS.getOrElse(i30, SELF)\n val tuple32 = \n val l32 = box31.value\n val tuple33 = (coll17, l32)\n tuple33\n \n val tuple33 = \n val coll33 = box31.tokens\n val tuple34 = (coll20, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n tuple35\n \n val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n val l35 = tuple34._2\n val coll36 = opt5.get\n val l37 = coll36(placeholder[Int](13))\n val i38 = i29 + placeholder[Int](14)\n val box39 = OUTPUTS.getOrElse(i38, SELF)\n val tuple40 = \n val l40 = box39.value\n val tuple41 = (coll17, l40)\n tuple41\n \n val tuple41 = \n val coll41 = box39.tokens\n val tuple42 = (coll20, placeholder[Long](15))\n val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n tuple43\n \n val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n val l43 = tuple42._2\n val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll45 = box14.R4[Coll[Int]].get\n val coll46 = tuple42._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](21)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n val box47 = OUTPUTS(placeholder[Int](24))\n allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n )} else {(\n val box47 = box23\n val coll48 = coll24\n val coll49 = coll25\n val bool50 = bool26\n val i51 = i27\n val i52 = i28\n val i53 = i29\n val box54 = OUTPUTS.getOrElse(i53, SELF)\n val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n val l56 = tuple55._2\n val coll57 = coll20\n val i58 = i21\n val bool59 = bool22\n val i60 = i30\n val box61 = box31\n val tuple62 = tuple32\n val tuple63 = tuple33\n val tuple64 = tuple34\n val l65 = tuple19._2\n val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i70 = i38\n val box71 = box39\n val tuple72 = tuple40\n val tuple73 = tuple41\n val tuple74 = tuple42\n val coll75 = box61.propositionBytes\n val l76 = l9 + l56\n val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n val l78 = l35\n l65 - l78 - l15 * placeholder[Long](35)\n )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n val coll78 = coll46\n val l79 = l43\n ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n )} } else { placeholder[Boolean](44) }) && sigmaProp(\n (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"index": 0,
"amount": 225230000000,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
"serializedValue": "1102b4be0b80d8afbdfd0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[94106,223000000000]"
},
"R8": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "0e20d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312"
},
"R4": {
"serializedValue": "0e240008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96"
}
},
"spentTransactionId": "1986b92262ffe7e3d505fc0eccfdeb98539eb2a07c3ee0d1fbf692521102fc1e",
"mainChain": true
},
{
"boxId": "904af0a39dd00df81dbb4db4b7f7ceefde50044206ef71945b302a39e11d9dfa",
"transactionId": "fd6c7e75a8a7f872b247b1869663ba3edcbd0e4422edc89bce82fb38edc3d4b0",
"blockId": "e22f55ffec5daa047060d36776a06526b7848be33924f42d539ffdfbd4dbf183",
"value": 2000000,
"index": 1,
"globalIndex": 40775658,
"creationHeight": 1285560,
"settlementHeight": 1285562,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0863b41d21840a3da3cab0dc4433f80bb327e5d637bbf837471411b152d1654d",
"mainChain": true
},
{
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"transactionId": "fd6c7e75a8a7f872b247b1869663ba3edcbd0e4422edc89bce82fb38edc3d4b0",
"blockId": "e22f55ffec5daa047060d36776a06526b7848be33924f42d539ffdfbd4dbf183",
"value": 1016252631,
"index": 2,
"globalIndex": 40775659,
"creationHeight": 1285560,
"settlementHeight": 1285562,
"ergoTree": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(55d75e,4689be,...)))}",
"address": "9eZRZN2bjcNrFYX4nUU6pkTZzTMdJPP3FWPk7sbFo51CaC8iDua",
"assets": [
{
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"index": 0,
"amount": 9998,
"name": "TradeHouse config token",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 846022022,
"name": "SigUSDF",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 89724222781197870,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7550463196b7bb7bd5e9d1bfcf0839cc4e8e62efc320fd1326d250fd9ec9625a",
"mainChain": true
}
],
"size": 3840,
"isUnconfirmed": false
}