Transaction
ID: 8e35e84c94...07d9
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1,164.99
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
2,096.99
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0976 ERG
Tokens:
83.51
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
11.65
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
29.12
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
194.15
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
215.72
Spent
Address:
Output transaction:
Settlement height:
Value:
0.094 ERG
Tokens:
683.78
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:
1.77 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
205.54
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.86 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 487,178
Total coins transferred: 1.96 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000772 ERG
Raw Transaction Data
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"ergoTree": "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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: 3\n17: -1\n18: -1\n19: -1\n20: 1\n21: 0\n22: 1\n23: 0\n24: 2\n25: 0\n26: 2\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: CBigInt(0)\n36: true\n37: 1\n38: 0\n39: 1\n40: 2\n41: 1\n42: true\n43: false\n44: 0\n45: 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 = (coll17, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n val l36 = tuple35._2\n val tuple37 = (coll20, l36)\n tuple37\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 coll40 = box39.tokens\n val l41 = box39.value\n val tuple42 = (coll17, l41)\n val tuple43 = coll40.getOrElse(placeholder[Int](15), tuple42)\n val l44 = tuple43._2\n val tuple45 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll46 = box14.R4[Coll[Int]].get\n val coll47 = tuple43._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](16), 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](17), placeholder[Long](18), placeholder[Long](19))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](20)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](21))) { if (l11 > coll12(placeholder[Int](22))) {(\n val box48 = OUTPUTS(placeholder[Int](23))\n allOf(Coll[Boolean](box48.tokens == coll13, box48.value >= l16 - placeholder[Long](24) * l15, box48.propositionBytes == coll2))\n )} else {(\n val box48 = box23\n val coll49 = coll24\n val coll50 = coll25\n val bool51 = bool26\n val i52 = i27\n val i53 = i28\n val i54 = i29\n val box55 = OUTPUTS.getOrElse(i54, SELF)\n val tuple56 = box55.tokens.getOrElse(placeholder[Int](25), (coll17, box55.value))\n val l57 = tuple56._2\n val coll58 = coll20\n val i59 = i21\n val bool60 = bool22\n val i61 = i30\n val box62 = box31\n val tuple63 = tuple32\n val tuple64 = tuple33\n val tuple65 = tuple34\n val l66 = tuple19._2\n val l67 = if (bool60) {(\n val l67 = l35\n l66 - l67 - l15 * placeholder[Long](26)\n )} else { l66 - l35 }\n val bi68 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi69 = bi68 * l57.toBigInt / l37 - l9.toBigInt\n val bi70 = if (bi69 > bi68) { bi68 } else { bi69 }\n val bi71 = if (coll18 == tuple45._2) { bi70 * coll46(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi70 * coll46(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i72 = i38\n val box73 = box39\n val coll74 = coll40\n val l75 = l41\n val tuple76 = tuple42\n val tuple77 = tuple43\n val coll78 = box62.propositionBytes\n val l79 = l9 + l57\n val coll80 = box62.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean](((((((l57 > placeholder[Long](34)) && (tuple56._1 == coll18)) && (l67.toBigInt <= bi70 + l44.toBigInt)) && (box55.propositionBytes == coll2)) && (if (bi71 > placeholder[BigInt](35)) { if (bool60) {(\n val coll81 = coll47\n val l82 = l44\n ((coll81 == coll58) && (l82.toBigInt >= bi71)) && (l82.toBigInt <= bi71 + l15.toBigInt)\n )} else { (coll47 == coll58) && (l44.toBigInt == bi71) } } else { placeholder[Boolean](36) } && (box73.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i54).id == coll50)) && (box48.propositionBytes == INPUTS(placeholder[Int](37)).propositionBytes), (((((((((coll78 == if (l79 >= l37) { coll2 } else { SELF.propositionBytes }) && (box62.R4[Coll[Byte]].get == coll2)) && (box62.R5[Coll[Long]].get == coll12)) && (box62.R6[Coll[Long]].get == coll36)) && (box62.R7[Coll[Byte]].get == coll18)) && (coll80(placeholder[Int](38)) == l79)) && (coll80(placeholder[Int](39)).toBigInt == l10.toBigInt + bi70)) && (coll80(placeholder[Int](40)) == l8 + placeholder[Long](41))) && if (coll78 == coll2) { placeholder[Boolean](42) } else { tuple65._1 == coll58 }) && (l35.toBigInt >= l66.toBigInt - l67.toBigInt - l44.toBigInt)))\n )} } else { placeholder[Boolean](43) }) && sigmaProp(\n (box14.tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)) && (((coll18, coll20) == tuple45) || ((coll20, coll18) == tuple45))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"index": 0,
"amount": 205535000000,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
"serializedValue": "1102a8cd0680ccdc98ec0b",
"sigmaType": "Coll[SLong]",
"renderedValue": "[54100,203500000000]"
},
"R8": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "0e20d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312"
},
"R4": {
"serializedValue": "0e240008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d"
}
},
"spentTransactionId": "e5f322d8b690928e63438fc2d02926bbdc3c533435a1b36156b04fb37d641627",
"mainChain": true
},
{
"boxId": "55792df3617459218092b4bbed34033fb1de43d55164acbabc31247d1347833f",
"transactionId": "8e35e84c9448ec7a3a55af65901e5ef87d3f16add9481b24902018684e6b07d9",
"blockId": "fcfefc0c4d72a3da6629dec565843645bbbd456ebfe8480236c7442010955f96",
"value": 1861400000,
"index": 1,
"globalIndex": 40636031,
"creationHeight": 1278814,
"settlementHeight": 1281247,
"ergoTree": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(55d75e,4689be,...)))}",
"address": "9eZRZN2bjcNrFYX4nUU6pkTZzTMdJPP3FWPk7sbFo51CaC8iDua",
"assets": [
{
"tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"index": 0,
"amount": 89795600218484800,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"index": 1,
"amount": 878904327,
"name": "SigUSDF",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "a251bd947e23bccef52fb7cecd3d63c7ea20b26959ae8b97eeebbd93389c7d4a",
"index": 2,
"amount": 9998,
"name": "TradeHouse config token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2bde766642741a267be956f740f86ff66dec39b2d61e3ccca9066c89a772e0aa",
"mainChain": true
},
{
"boxId": "7392b7b53dcfce6532697146b0a10d555bb2d3fc2902f4e257e96b3fefc8284a",
"transactionId": "8e35e84c9448ec7a3a55af65901e5ef87d3f16add9481b24902018684e6b07d9",
"blockId": "fcfefc0c4d72a3da6629dec565843645bbbd456ebfe8480236c7442010955f96",
"value": 2000000,
"index": 2,
"globalIndex": 40636032,
"creationHeight": 1278814,
"settlementHeight": 1281247,
"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": "37aac505ae79655889f4f2e6a0123dfc43503d9d6ab22a12f2ecfb8efae50ccd",
"mainChain": true
}
],
"size": 2591,
"isUnconfirmed": false
}