Giá Virtual TouristVT

《比特币正在开创一个全新的金融资产范式》 1⃣避险资产属性 2⃣风险资产属性 3⃣波动性正在降低 4⃣和美股相关性正在减弱 5⃣和黄金相关性正在减弱 6⃣ 金融历史上的全新资产类别 1. 比特币的风险资产属性 通胀对冲的叙事：比特币总量有限（2100万枚），理论上具备抗通胀属性，被称为“数字黄金”; 不依赖中央机构：在某些地缘政治或主权货币危机中（如委内瑞拉、黎巴嫩），比特币被视为资本出逃或财富保值工具。 2. 比特币的风险资产属性 高波动性：比特币价格剧烈波动，短期内可能涨跌数十个百分点，典型的高Beta资产。 和科技股联动强：在宏观风险事件（如美联储加息、全球流动性紧缩）时，比特币往往和纳指、科技股一起下跌，表现得像一个高风险资产。 3. 波动性变化趋势 比特币被视为高波动性的资产，但是这种波动性正在减弱。据Fidelity的研究指出，2024年比特币的波动性几乎是2021年的一半，表明其市场正在逐步稳定。 4. 和美股相关性 根据CryptoQuant的数据，自2024年8月以来，比特币与标普500和纳斯达克指数的相关系数一直维持在0.8左右，表明两者之间存在强烈的同步性。​这一趋势在2025年初尤为明显，尤其是在特朗普总统宣布全球贸易关税后，市场情绪转向“风险规避”模式，导致比特币与美股同步下跌。 尽管此前比特币与美股高度相关，但近期数据显示，这种联动性正在减弱。​在2025年4月的一次交易日中，纳斯达克指数下跌了约1,000点，而比特币却上涨了3.57%，达到88,250美元，显示出比特币与美股之间的负相关性增强。 此外，VT Markets的分析指出，比特币在纳斯达克表现不佳的情况下突破了90,000美元，表明其与传统资产的相关性正在发生变化。 5. 和黄金相关性 在2022年至2024年期间，比特币与黄金的价格走势呈现出较强的正相关性。​这一时期，黄金价格上涨了67%，而波动性更高的比特币则上涨了近400%。 到了2025年，这种同步性开始减弱。​截至3月底，黄金价格上涨了16%，而比特币则下跌了超过6%。而昨天比特币大涨，黄金则开始下跌。​这一变化表明，比特币与黄金之间的相关性正在减弱。 6. 总结 比特币同时具有风险和避险的属性，波动性在逐渐降低，和美股/黄金的相关性也在减弱，正在成为金融历史上全新的资产类别。 大家还在买入比特币吗？ $BTC #Bitcoin #Crypto #宏观经济 #资产配置 #金融变革

现货代码：VT，现价0.01056买入 $BTC 目前筹码的价格也非常低，现价接近历史最低位 $0.00267，低价筹码集中，抛压极轻。且流通市值仅 $215万，低市值代币易受资金推动，反弹空间显著。 后续有上线bn或ok的概率，若实现大所上线，将迎来价格飙升！

cHNidP8BAP00EwIAAAB2xCONU0vBfhRTYmnJt2cZ7iXlnb6zFTpPHl9DEGvuywABAAAAAP3///8IU4UbluDWModwAUQarchKYsf7ALWj0j4YCZobMtZvAwEAAAAA/f///zY/dkAg8LoKke5kCtJFNl58cggnD/7YK5WMr4tsnCsGAQAAAAD9////Kiq82kkQFXEXRsrgSFr/Nx19/S2vNA62bE57+oNLkgYBAAAAAP3///93mnxGf6Pz3rc2rjoRpwuuvFtu2PF8Mkx/zmOjJMtcCwEAAAAA/f///9+blxi0fokBBkA90iERJhmu2MsLv/G7Muk7aCHeL08MAQAAAAD9////kj6TWI9cwLkJYWgCMwG02ksJxH6nqLFCUwlHlJ+puA8BAAAAAP3///+eDKwdndVSXrGO5GDht3IH+Eaze6aPTS0Dz7ECmNxoEQEAAAAA/f///zDv34h1KWvdfR8xr/JX2KT5dNHuIOpRdwNnHGYD3k0SAQAAAAD9////s2Q+s/qXkl5QHIWwnDtG3EFNgyKv7rAJo/HQFnVH6xMBAAAAAP3////WuV9A0Cy3R1kFxCjoY/764HfSuzmnDw92hj9N2CyLFQEAAAAA/f///y3gzy2D6qitkjf7hFysq8HWkmP8lEmLD22ds0HgooUWAQAAAAD9////VVu9UjwkfPirGESzEzqnwCJwi5kemLT6zTkvPAPkXxcBAAAAAP3///9MXpmRR8wH5TySIWY4NiRCPqgCcLs4obKnCt4NPTIdGgEAAAAA/f///wfqUb36Vf5LoJ/rhpGnaKNolIJm3hr7j7JOG36eOBocAQAAAAD9////kf/z7vYL2nIOsMyyxs2r4OdqSU6otQ5xLeQkXS8tdh4BAAAAAP3///9rH7S6YHPMZ67cihIJKFlE6tZmDgaan89C/Aa70RjTHgEAAAAA/f///4U14QngtiCx86HbOsaRYQXvM0ZXYa4xmqBpOlIk0KUgAQAAAAD9////5U8/ZMTvUzoFlQqCNOuqXqicEX60t3ZeoreN7jtkCyEBAAAAAP3///84O0npU5ri5cT2sOBTTQUNdRof8+DgoG1DlAbxAEKQIQEAAAAA/f///5WmI32YhOxTvUepPE/SfEo6qY04O7x4R+sp7JsW0coiAQAAAAD9////FnAufJUCUURud29xAhFFUnY1NRWTbEVZ7M9i8glVVSkBAAAAAP3///9e4dvCSjuhawjB+NqImmlLRe7cuY4NbBQqAUQrOmHdKwEAAAAA/f///xTIbsDl3JedmImSx5c7KSgwdVOuJJDjsOH5ZBGyxvorAQAAAAD9////LERZeyWr2RROJdZxAZRx0heqKsK3VRVVScrtFsWJqjABAAAAAP3///8qFoVxsajyZIPdzurhld3/trA3xAUVXhiQB1QcpgwpNQEAAAAA/f///9g8pW1+OkZXSGMRkd+qbxOt0NFR3X0NxGa148FA5YU2AAAAAAD9////PbpLiWckcXWroWvdeQosahcG6s6j8a0ufvbtPaCAQDcBAAAAAP3///9wI13ZiwLgQIXnvCMLb3g1EaSiJPlAj9f/ExsjyIlgOAEAAAAA/f///6AwPE95US5cv02kixosdLwv1nigxtsKKoDiF9RK31Q5AQAAAAD9////wfMZ9TWw627x2jbMwA3ZCvQjFhpT80WYK3AK2cTAGjsBAAAAAP3///91DwGwwxuofvb00JpmAOF5vZ+IgXlsUVHJxtxQzvO5OwEAAAAA/f///xAno4gaMfRUOFjKEjNH7Caf/Vtmeyqxqu9IFwHfyUlBAQAAAAD9////Bm6ohEcizin+w7XNRqY0M7j+BMUbB44/CRJKStYNJUMBAAAAAP3///914iHb/iFq8bqkCFKJDU0VZmSh12GI4neDSAkKJaEDTAEAAAAA/f////K9e6qG0HZbFI7qxCuEQbhgKxLmKGNSNrKN1mJ8JA9MAQAAAAD9////+Wn0Ot64cXmZLyC5MDZ347F6TKRmn1WdR7jr8V1Vc00BAAAAAP3///9GapMcVYvpUnh5pmTIilQlrrt16hMca4q9bMzGY08mTwEAAAAA/f///2hlf71AYUr8VkBbO74gR0LcR5I41SyfKsiIhkG5QbNUAQAAAAD9////fAl6zdJIBnH5AQq1T1VXWW44JmvhA9Vkded7btDDl1cBAAAAAP3///95Hp8pA6QlPGmu2Xfd45mnSlkfjMBRNvJ8/TwQvr+bWAEAAAAA/f///3EMe0jbpV0rY9dNZ1Md4aGS/IV2JATQrCN+0swpfvRYAQAAAAD9////nTQdbvEyvnIibn3oZJkCmJ6Cw7tpws0Ao/FxYB5LB1oBAAAAAP3////hgvMJ038/9DilJYn/WCnE4nd3LdpJ4ym1eMXHP/xyWwEAAAAA/f////wFHdXBuiX5BjztwG2RuD3GRz91NscKab4zwbV6cPdfAQAAAAD9////m2qqbUsvT0Q4DtPvVumaQ2Ojr+zB+wJlELx0F8iJVmMBAAAAAP3///9zKl3SnYTsHPgTcaqcI06lQIrzRV1AEAI24CZBEtXbYwEAAAAA/f///7gtsRCqKbWg0fV7GLhsNfOTH24P/FGkdHo+HLbPeDBrAQAAAAD9////oCq7HO81LM3N/XVwa3C56sTSVWeWenGA7grGRlN4D2wBAAAAAP3///9BXEJ5hJlskxWe38LQ9a8g9kmKXqcI/3HBBxlDs8tKbgEAAAAA/f///92fnh0TYlIDl0bPy1+no4Cc6jr9ww6ZVNq2Lm7r9YpzAQAAAAD9////hKsF7jBhyZ54wGdJYzTDQJCv8tIvGMPW83g82cYcmnQAAAAAAP3////A5DpOGg18cGAcm7p3OybQYmwLXiFz+210xV1DyGCsdgEAAAAA/f///1Cl67t+KUiqW10/HyxrYmcrGqJcvDSgvJhae+wX1Fh3AQAAAAD9////Vw8fQ4XG3ziuthiUd7+YtO5znUXUtG5dJWXF9c8Gq3gBAAAAAP3///8w5fcTxMRD84Zvtb9ihMssyjjvnQ4EbYqPutS/ZiN4gAEAAAAA/f///08qTpy4/2XvK+KOCqFBybPKh38zT9Ay4J24dSwPwxeBAQAAAAD9////dvMMYhiZNiU7khZqvOKgNRT221TN7Z3RNKHf1wn0IYEBAAAAAP3///83zspEDuw/XcIhRLAfbY7xFruukb/evrRYk4zP7J/bggEAAAAA/f///9a4kqHYkiw6zNGFoBzrIvVa3sN4/2/GreSSx72U+e6EAQAAAAD9////x6SLJcOg0ZFtEqzt9rxYfE7GvNg5f0LUgxtE0Y8HAYwBAAAAAP3///8KUQ/ahlQRGtzDDeux/z/0BU00grhKrKWHR3axz3phjQEAAAAA/f///zWoNYbMMUfm3zpiTmMr9BlUm9jNxCVkTJ2wimtm462PAAAAAAD9////Nag1hswxR+bfOmJOYyv0GVSb2M3EJWRMnbCKa2bjrY8BAAAAAP3///+Za7sE0B+SU5UJRo4vnmSn3t/cVLPgTIMKteXN0zQYkAEAAAAA/f///z+s2qhZqepUZwDCf5LQv2kxYSADPekSlRkurLM23kyRAQAAAAD9////nVPHxNXrA3Gf7QR128xYjQCHeryTuNpbgUgkE5mjf5YBAAAAAP3////1k9pXpzaBJN6I7OX9HP8GRsXOja4uZc3BXIo9jtjUlgEAAAAA/f///8lyE3D9DHB+ESSltBqZHtsj4gdIO9TD3/XQC/UYRHSXAQAAAAD9////DEGMlaXS0b1VC6fzS3s3+J7xQxxxgGfbOeixRBMj+JgBAAAAAP3///9A6EuQn/gRGjlkXyPqQi+ciR1JmW8q7mQxoD2yoWO5mgEAAAAA/f///4ULiOXDzlJURId5xjuJtY+25nEs/5FZDgwz8wxQZZqcAQAAAAD9////1HSnsCLt2tHcxCXjyf5jHlh4XNdMTxrD4i2jSuN+95wBAAAAAP3///9HfrmUIwXzalNRKJn8D6hA2QmWpTeb+SXb5WiXMvBfnwEAAAAA/f////8zkx05cipE6c/VDLC97oprz1Lcd01W9EfN9nFVLWqiAQAAAAD9////z6r38A8qAKcM7bYcOhAECNcQ7uMDZvLVhmjRyz94GqMBAAAAAP3////r+zFFgpB+Ra69nSrRMVGLfxcM2FOZDeNMf6JGzPgVrAEAAAAA/f///8K++oz+7ADVBKo57ybAqQkwIEAsFML6BiTQx+h0DgCtAQAAAAD9////3TOVj8n2l7O31Ok+qkAIgw8V63tvWNSi/NIsAg6PBq0BAAAAAP3///9lgN3pTgs1VbYfdP8ZPk4aZRTDGww9yEK6aiaggV9TrgEAAAAA/f///xG58LpzGIQgrd/X6/GSMA3P2SjMH+ERKrdOd0dmWSGxAQAAAAD9////zIM6VYga4SgHdVEOm2s/tm0EVCJyKRStFSAgU2YVM7gBAAAAAP3////LCNhcTJSvbf+p6EGf2i7Q3fwUHnuOHNTCFDUVtjuOuQEAAAAA/f///xNKipRBVU1CchSyGmyRrUIPMPHidUUq83JCPkgo5vm5AQAAAAD9////onuFWfe/MrTU3vtMASCOj8CZsOa/NvBQyjnGLuFokr4BAAAAAP3////n3Zv+9ZJrKZKPbLxSqLmEYKlIlAKyYLaBqoSpbvMpwQEAAAAA/f///1nVkKXMe2sbOqC98A99Utnl8R3DP+krR1jRI+g8qKHEAAAAAAD9////Ans2Mn3Vi9s1EAUk+DWf4IfECMZmQGPF/y1DtSsiXsUBAAAAAP3///9CtYbnBOh04srny9fioWTdxoyvLsd8cPOqyGgriKizxQEAAAAA/f///7C/5Eu66dwT9RT79bqEtHW7V611QquG82OAkgA914zHAQAAAAD9////QL+BgVHpy95lpcTq3qKw5juPEuqYijqQCkRtG/xNdMkBAAAAAP3///9uAA26sYslllWznSVM5NkLJGivztJZUoN9RSYo118QygEAAAAA/f///+4qTTI0rNAm/ioXEHbVtf0QVLZlZOZULZbG1DchfKjLAQAAAAD9////8+ZExJEgKfWyVSrCi9YQZW5aBOxl8h/0W12rsN3Xmc0BAAAAAP3////MgAj15w3EmTo/zKJJ0ODa0X/ptf522UD22Btwk0YczwEAAAAA/f///3QC25F94+B8WLkAk8QRetDbY12Z2amLFzXL6jA70ZrVAQAAAAD9////xbIuVjYFRsSe2HrbmcTfiZmieYGHiQxpPGdleYQQBdYBAAAAAP3///9BU5ciV4KB89dUT/R35NkxPSraTnNrCtbFasSJVTmc2gAAAAAA/f///9zmGeWJoeTiRgssUaAOL8gPti32zST4+FdkndCZNjXbAQAAAAD9////+P104byUoTaV5fh3OQJryS20V0jZGJQltpK8Ahw9UdsBAAAAAP3///+qBb8eIxGvAy9g8CrKJ7esUpr3a6oK67FDJn3eDPbs2wEAAAAA/f///+mANkmtz7JImqt0/nYboQbJeAhcLHvbmxrgDJNifl7cAQAAAAD9////rVULjf2rhLttKA8CyDxBiLf+uke9clIKk+ND9OGR59wBAAAAAP3///9jh5hT3aTFgVdMMh+L9h78LJo783zEiFbmWxqAuE+93QEAAAAA/f///7xREopQdb3LooiYoZqajd7QLCFDZ0Vasd8M6/HtcPTdAQAAAAD9////yq/8N7OpDBHyiRGz99w1sJO8aB7EVg44LRhWt/GeZeIBAAAAAP3///9pt5lT9jQIWBidNm7JuTHbnuc3Slk9kg82tL9OH2z06AEAAAAA/f///ws0xor9s8+l5QDE87frTG07/ccV+0cRCoJv+J8bm07pAAAAAAD9////BBisEMkgDoUtlsBCrCNxGH4/bZBKlsJqfvl2afV0ZukBAAAAAP3///+BDfrDXljX0WLuRDo6EDQI/aXw9N0pVkRafq5GbM1x6wEAAAAA/f///yQTRQnIg+x+RqvWk0U4RehVh6rrJU/W6gUuXFGXnd/rAQAAAAD9////YbUbFlFw43HxppnkCVM8Gr0CeJUWhQu3xNf3ROUdU+0BAAAAAP3///8h/AVRZsbBhO+hAfdHxNZRZuUhQCQrQcDnGRqXWclS7gEAAAAA/f///4uem1uvADEYzblMXfBUEv3eywKyUrMXQx7sEpuQqUL6AQAAAAD9////eBHMI9Fn6+4ZsZLZGXcQg1qwAX6VduwJJGw9lLmBKPsBAAAAAP3////s2rMWXFpXncJM36qVV44umbWGijK2jv6wv6Hixk3j+wEAAAAA/f///900+Ceo9FUs6XsRvVkfstVq48w8MdyE02RY1LhlDlX8AQAAAAD9////D1rMtZYXnXz9/X+4mVxhEN8RDPy8YCCgYEr6iYgYr/4BAAAAAP3///8CQEtMAAAAAAAZdqkU5pIkF/AhMe822DsNpWWGgzEOiKyIrFS5kIgHAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKzmkg0AAAEA/eUBAQAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/////2QDlYYNLPq+bW2e8wE8PwgDo7SpZZrsZeyMOvWtnrHKVUqUiNySkBzsQBAAAADwn5CfCS9GMlBvb2wvZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQAPxSBsAQAAAAciAgAAAAAAABl2qRTGdAoS0KfVVviXgr9frw4SzyWmOYiszfWxEgAAAAAZdqkUafKgH0/55qwk35Bi6YKHU0dLNICIrAAAAAAAAAAAJmokqiGp7U7S7V0nQUVQwd0lGfABC3K8hnPkF6cYS8hgEBxIKFNIAAAAAAAAAAAvai1DT1JFAXxwbKRKKP3SV2ElCWEna9YdWqh75+wyOBPJQzNsV54jgiio69CWp+UAAAAAAAAAABJqEEVYU0FUAQUbDw4OCx8SABMAAAAAAAAAACZqJEhhdGh7HPpYcSCnt72IHj6JxcdMrhN63WX2CF8XWBlzZ3lfUQAAAAAAAAAALGpMKVJTS0JMT0NLOm6MQi59dPzhS/za6Jf06g22qeDz9NNuy3rBZxIAb4prASAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAkNo0EAAQDhAQAAAAEHwL5bvKvcqJHIwIdZu1mZstjNQEKSSvGzuc8XajJNSQAAAABqRzBEAiAB0WZFCGO+HGXdmoQPduOnRAoRMwAyFkVkssbrdaXDDwIgTqPukbfsV+E7fIlauN+y6QHOVmeTglw2nsGrRfKRRDsBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAAACiMCjHAEAAAAZdqkU8sflhI3z6kRxhFJuVySrk6yFu7KIrPQtYg0AAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKwAAAAAAAEA/eUBAQAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/////2QDSI4NLPq+bW2Acv3KojzuQs3eF7aiJtpU1g/XqJ6TFZawooT19T9fhRAAAADwn5CfCS9GMlBvb2wvbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQAxegAAAAAAAAciAgAAAAAAABl2qRTGdAoS0KfVVviXgr9frw4SzyWmOYisMn25EgAAAAAZdqkUafKgH0/55qwk35Bi6YKHU0dLNICIrAAAAAAAAAAAJmokqiGp7X6LHhIiIPYHLnJgShF4m5JLQ0/QDBEdz+B77vt8P7gxAAAAAAAAAAAvai1DT1JFAaVe7y+V9cGPUhu8hQa0hv87hCmf5+wyOBPJQzNsV54jgiio69CWp+UAAAAAAAAAABJqEEVYU0FUAQUbDw4OCx8SABMAAAAAAAAAACZqJEhhdGjAJMe5/hJTqma71xUbw1dEKeT7QkUSKhiX+9xFZtOodwAAAAAAAAAALGpMKVJTS0JMT0NLOhE89vYlfIhznCTz66SKZ+1ruUv64j7AU5RaqBoAcD84ASAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP4iaz4AAQD95QEBAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/////ZANVjg0s+r5tbXVCGPm6xQ14uzWoSxxOwv60qKqn6zfpCT40KbAFqOrmEAAAAPCfkJ8JL0YyUG9vbC9rAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFAJDqAAAAAAAAByICAAAAAAAAGXapFMZ0ChLQp9VW+JeCv1+vDhLPJaY5iKyQGLwSAAAAABl2qRRp8qAfT/nmrCTfkGLpgodTR0s0gIisAAAAAAAAAAAmaiSqIanty5hIDvehIImPYhMPNbPlYMgxaPFXQWmGhqQcRpwjDbQAAAAAAAAAAC9qLUNPUkUBZNskpmLiC733LRzG6XPbstEol9Xn7DI4E8lDM2xXniOCKKjr0Jan5QAAAAAAAAAAEmoQRVhTQVQBBRsPDg4LHxIAEwAAAAAAAAAAJmokSGF0aIb5FfNRKGp1x6kE0j98sZWBnSg+X9Gx3nJP6iN0lOwIAAAAAAAAAAAsakwpUlNLQkxPQ0s6SaKy+bV9INSWURZEWoVtKtlcBBRFQ9viPsBTGQBwP/cBIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAyHHBPgABAP3lAQEAAAAAAQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP////9kAwiHDSz6vm1tFAC8wfMCDRoJ7H5OYVR61lygyV+iR5JT7D9YRivpu8UQAAAA8J+QnwkvRjJQb29sL2QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAU4g8DwAAAAAHIgIAAAAAAAAZdqkUxnQKEtCn1Vb4l4K/X68OEs8lpjmIrE//uhIAAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKwAAAAAAAAAACZqJKohqe0FfIIfwtQX8oie6itYiMfuKoIYPBPJ8oLUaM4HS1MAogAAAAAAAAAAL2otQ09SRQH2/bwZol3JFFTOwZ73cU6LZ8Tg5ufsMjgTyUMzbFeeI4IoqOvQlqflAAAAAAAAAAASahBFWFNBVAEFGw8ODgsfEgATAAAAAAAAAAAmaiRIYXRoVJxF8dCPR10BjlUdQ4Wv0XFxDfKRHj22O+Jiv+Cee2oAAAAAAAAAACxqTClSU0tCTE9DSzrl1h3ZQJevaMkvtjbsg6pliBgeIAyD3YGvy3UVAG+VGgEgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+uOM/AAEA/YcJAQAAABAaoIXS2rVS0RkqBQUVSUZNbBKbAz88mKuG9r3otC70FQEAAABrSDBFAiEA9GHQ+NDVTxMif94LuvyjqBk3K9vaoLTtOSYNby0HjWsCIDXNOL+OSSpPvAQT+j9kwrNwuU/OoXcqj0U34obYVRAHASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAS/5Q50KlsU/w6gxeaejl9fsCY1xhwSEaV01Z5Q/hANwBAAAAakcwRAIgC5cAOG3b22RfUhaUYMZgAxwqQEs7YeysMhlVQp4ku4ECIHtvdrsYJVdidIgOcTEs10ywt97HsDXyxmWy5rZ9qYcSASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAxdqei87uakuzHvhPy3Y1g/PSYSMi/HfJo57MVaiksrMBAAAAakcwRAIga/IRO/Wa9QC23TnSrPgZVuGSICXAyxxRM99MST1SILwCIGAzoqObUQLMgB/52ivTXss6Knzj6L9/FnppWKp8Mr8JASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAqcktuu+hzdeNDiNhUIRpxHHTaHzc6clPznCFSE4GKM4BAAAAakcwRAIgIggt87xHkiqF/DelhQzbwAlrr30rqyvnYtsOB1LePCsCIF4xEnZK5y1p7Ts678ZdSz4PeHTDTihl2RyrnqIO9n/NASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAnG7UKpL8apLzY4Ao7iyCVdXzVnNbEduHDZHrwqHfHKkBAAAAa0gwRQIhAKEzioZg5MKLtyWlh6W48tPqexjvOpWWFHTm8W4gAQXxAiAmVqzuo0ieibZjcR/yOzSiSEosyhbkaWB69tatOfDZ+AEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAN9/0IFPbDiOHdeooe+Sy4QGaj1RAQYrJCIQz2GyimUuAQAAAGtIMEUCIQDBNh21TpgftqUjsnHhkgt/BFxvPreVV49hMacYq1fdAAIgbwWGiQhk1lHIIYOBg/itNaitfLDiUlUOQtCiSTJ0pUUBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAABCyQzLc81xMCpRtDsXLLaQ6yEp4dW3zfvDrW0naWyRcQEAAABqRzBEAiARRBLEzT+PbrLxFQmYhwLy90ZGD/XrnD0FfIbEAbkrrAIgZhTFGovH07lXoLSDyB0Leqsc3FJI0vWo1bYmai2dwEwBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAAAtuqWb1p7qon+SeoTjQLPA7Q//vseWihmmDTjogrqxWQEAAABrSDBFAiEAmPMnnuWFSJj9sjrLcmQou5IjBQ088eMmdBopYHawS6gCIHkf/GJh2wbLKkvCin/8Gi0Yjjtb9J2QKO7G7yXq4KtVASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAmWk8zMcoYMi9gissLOzLNkFnFrja3z5ZPX1LOWDbrLQBAAAAa0gwRQIhAOrK9+me7Fp9EsMAf170DxVCrX980YDiaQvYBVztPb/gAiBBK069YEXrup8tHzz38PFwbhUxfOLnMtun3oit33CV/gEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAADT4EsSqPZExWiqusCNvYr0W1hUXhMGrqkkwde2YLJgrAQAAAGtIMEUCIQCg6LpVSaWKs9XbxTTx/CBZzQKZGAso3eP/aTJiA661fQIgFNmaJqSpAwh3o4JEQ8F2AdnoGTwkqg968NQF1oaNsuIBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAACRzd9wcoDU2SKcjzKfSVBFsdvGTMBl5e+/vBw4MOS1NQEAAABqRzBEAiB1JT2W4t4m6op1RgowYgdWPW4Nn6JXIoRxh3sgK4bSowIgE/1OwX8b/kVr50GmtJjE7OoR6tF6WQwzpFFFYt8nlP4BIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAACwvtjb6kMDiI50CkouBwSjgVPDVHtp+ZJR+JR08/kO+AEAAABqRzBEAiAdlAkS15FE97nbPxfxpM3rdRXDWGgBGgUmKvJR+ibc5AIgLEaxIYBSLjknloV7lZhzFYmTBCVa0n40qMA7zOJMkJsBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAAC5+L6pFnRVFKuNBxIgKdNHpCws1dblSO3IPW89T1638gEAAABrSDBFAiEA5+XeJLS1fTzS/nMdNqfxWWa0utCVKeFr9Dbu6DttuoACIDEX7AZQN/v3t5chWizA6lVzbTeX11dnpLD9YJV+b24HASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAA5fStD+EXXTX3r4UWc5jPO+3qiHO4Mbi38nVhGCuNuaMBAAAAakcwRAIgcJ+0G7P6/K6SzK4wOO6Ql4BkoCJnXubq/qs5tMYauKUCIEf6FOUa+yn0jQ5S7AykjkFqx29WrVGZ/dcyIPEgoyr4ASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAiHH2waxBSFGXDNYUGFVbMkDATrCSA/h+rLaffcn1Z1cBAAAAa0gwRQIhANF+WwVNcJ1BCb2UWznaukgevzd8Y8MVdYE9k7REaMvbAiAHzq0ayPauvf0wrTbATLfyjP/ymfSmYs29jjUYjcn/YgEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAHe3iTKcpOj+w7OITPXNhaMDA2i8pOuTmKQPo5nRJufvAQAAAGtIMEUCIQDi9u2ydXSp+ItZGi+bM72j7fkBQVI4cCV6DqdZ5yP1KQIgJK+WjVOOS3AWkHwZWXUR3+zdCBDPTANWkD8CbBmW1fQBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAAACkGHzHgEAAAAZdqkU8sflhI3z6kRxhFJuVySrk6yFu7KIrKm92g4AAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKwAAAAAAAEA/eUBAQAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/////2QDlI8NLPq+bW3aOrUqcpsbIPi1gKpuBLoyhAVJUACzzILy/J0kNhKqTRAAAADwn5CfCS9GMlBvb2wvYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQAbAAAAAAAAAAciAgAAAAAAABl2qRTGdAoS0KfVVviXgr9frw4SzyWmOYis47W2EgAAAAAZdqkUafKgH0/55qwk35Bi6YKHU0dLNICIrAAAAAAAAAAAJmokqiGp7TZaYcd1JhRyyh6eJ4lZKfUNHucOauiQdhj6UpTsznHHAAAAAAAAAAAvai1DT1JFAYQwO7OLh2BGdfROdfZTuL10gg785+wyOBPJQzNsV54jgiio69CWp+UAAAAAAAAAABJqEEVYU0FUAQUbDw4OCx8SABMAAAAAAAAAACZqJEhhdGjD41m2kbEPiyTgObsbppsJKEv4GA+5e8zQaxngsQycxgAAAAAAAAAALGpMKVJTS0JMT0NLOn0mb2f066ebrV1ZuiBwk+/VvCf4tHPmXcTH/REAcF1sASAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALj+i0EAAQD95QEBAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/////ZANGkQ0s+r5tbRW8s6aYn6ehZvHRUyV06HNZhouUzQGAyrBZbfu3NbgiEAAAAPCfkJ8JL0YyUG9vbC9mAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFADsFAAAAAAAAByICAAAAAAAAGXapFMZ0ChLQp9VW+JeCv1+vDhLPJaY5iKwT9boSAAAAABl2qRRp8qAfT/nmrCTfkGLpgodTR0s0gIisAAAAAAAAAAAmaiSqIante9zcwJI68+XgbjLKaXpdveIcxEcEGSw7FrM8TTlQqGUAAAAAAAAAAC9qLUNPUkUBQv3q6IaCqWWTn+6beyvVuZaU/2Tn7DI4E8lDM2xXniOCKKjr0Jan5QAAAAAAAAAAEmoQRVhTQVQBBRsPDg4LHxIAEwAAAAAAAAAAJmokSGF0aFJ+W6nxxnwxfmcr5F7LxRXCVYnhG5/inmwDhDgPuyIUAAAAAAAAAAAsakwpUlNLQkxPQ0s6TqTrzPWtxDM1CPa3yk5mz6xLTO7Uhh2j4JyfFQBwhDIBIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAjOl4QQABAP3wCAEAAAAPQZXghulLKUONYSToUX6EeYy653pTWON4KySdO7URlKIBAAAAakcwRAIgNA622IVlXqJxVHd699iTdfBbDZsDIz7NHEZn22p7t60CIBhGH9yebeXwcRwvLZvatF2P63prAe6ee1jRigsAElroASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAA/La0ClX2siF9sYtXEaYBouq5nMkez0P/qDv6qHKFaaQBAAAAakcwRAIgbIN8bK1DtpDL19ZCJzbEjSPSii63qew4DvhlDIOkEZ4CIHgvACp9eR9mwoqmmMi99PwFSBEtHnzg2SDt7yqpNLsXASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAsM49RFCGa2lbCLYBdEEQr2C+ZalKZEcpxi7FoMP9fXsBAAAAakcwRAIgRQX9JLKkmWHaxeb3VUdctlDJPmJcgoPH0dKE980211QCIHVq18hlNASGGUaVMeGqzOgaSERZ1sJlTDA+8Dh7s0UxASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAnIHDRgwTwoN9PYYKeQJNOzexAP8JNOLG4EUQbYLs/+wBAAAAakcwRAIgQC/fuxi+7f7e2jJop/JoFCW/OmE+NyvQu7INcuPAR1UCIHDQzm7FS2JSv3ATlEcvfjtiUblHby4OxsksFEG39M4+ASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAm0e+E6uNdQ87dMQ1Fz9VAEjk11NQvLmkZKtaI1p7DacBAAAAakcwRAIgdD6U4eonIefWj4J2nlsaUBr+J92jPMWhYibZIbb98a4CIFv/8KoVTMq/Nribkge0YvclPYfustJY12ZrAIZvXTzAASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAogn3Iz25iJ3WCNDwkniuPgSZVrlbcMUF9Bi+BMEEsNEBAAAAakcwRAIgNBRCPyjcRNSsUkMjdVRIDpW0Q3VKGFu30xXLYELikeoCIEcKtHYygEFFR1FwskcUqw+5ugVJOVKUM6poW/KxuWgpASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAU8mZSVgy6lkGRElF3Ayu9GUqvJaEsqTA3cP13syxieQBAAAAa0gwRQIhAIECp9TlwQdzYN4bTlcPSVfz6qaHbAT2nvDdeR0dLizeAiAPg/4E37YSMje6DgLPRDaDD3ePwJzeaWCvSLpbGhU3YQEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAJq0Rbrk0ikJrZfMLeepvvoFQfitnIYXBBAQk5SP3p1BAQAAAGpHMEQCIHKFFrKSKk+Yyx/+WrS2gv7rFcc4l4iny6kdrPG2MnHYAiAW1haotP5WZQ7y10gnmRlQrYjKOs8O9b55A9Hc/0TADgEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAMHMuRfVmBcfyLtlkAu8yZI8k26cE4doEOMRQp8pNqUuAQAAAGtIMEUCIQCy0/AY0cQcjlEBHw+isaIT+9AIU33So3SvEApNCh7QbAIgfN81c1tVC+0NLqIv2KhqtBbvpOtNkuKAl7edprcVxHEBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAABQZM0FQnav448S4yo+76a6qQjZSSuDP7A2ReR2Wesu1gEAAABqRzBEAiAWkyP7SRmUUg6LcjgtmtGUrTfpk9HfheFQBWSwoKLpPgIgYOE/fzJL4m1F1cVdiCSPsxmaiY5bNhgIM1FoiYEhLiMBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAADCXknPNr+Y7/RCxP6DJC/YxPRFjZ4NfgE7+5xvD0bVGQEAAABrSDBFAiEAr3MjBl+uO07BRWNVb6wRqEiVQ3j48Up41amYDfPx3mcCIDGqhpx3dbzywmARZUEBBeZoOZYDxxDu8qWi/h+E4TqbASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAAnG95O2EodIavJrrEmEXwG2fmkzbmN4tjxa+BAa8Mlw4BAAAAa0gwRQIhAJRgoNeKEKGCgc9nAXrfQD+rjciY58MO263ok5wrVSo+AiB+9XO+IFqD+Uvm+xw8K/BrOR22bffLAE1bqWWYQY0IQQEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAAbbG5NlfwrN/LO1KjHwAe6z3edJZ2foC8pPFs/NHP5LAQAAAGpHMEQCIEHclczCOGoWUg1zKBPDFI5rG/AWJF3ehjSj8Ih+5vx1AiBWMVCJPzn5Dn8Shb6JvX5EtSRu5BZa2IfxtszLAIdLAQEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAKI9p/Ykf2DmafkyBS4JdMov7UAaG/EmXlX2El05qzdxAQAAAGpHMEQCIBOZYh5cm9GBnHSZ9iT65MXB5mWFIzU63TnlRTkbKEQGAiAjhFPU3FTy/bNYVLG2UMeS/tvVw1X0w9eBypCDbihCAgEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAFm5k6vch9bLA3beiBzSaL9eDi2rrCGu6awj2pgCH2/iAQAAAGtIMEUCIQCFwyp5udWJJQr8P1ghI40m7wCPsMxE3kBAMESuJrgIiwIgMVUY32SZ0TmsxdIyqPRDj1DYDaHmDA/4AvmbOURqaFoBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAAACcB9dDQEAAAAZdqkU8sflhI3z6kRxhFJuVySrk6yFu7KIrJgG+AwAAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKwAAAAAAAEA/eUBAQAAAAABAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/////2QDNZANLPq+bW2ew8k/rQ4EopzcS1eka9EdF4Z615dTDTaIOfZyJsy6hhAAAADwn5CfCS9GMlBvb2wvZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQDcCaoaAAAAAAciAgAAAAAAABl2qRTGdAoS0KfVVviXgr9frw4SzyWmOYisEVavEgAAAAAZdqkUafKgH0/55qwk35Bi6YKHU0dLNICIrAAAAAAAAAAAJmokqiGp7c3cRSxX3JmUzPBdzrpmbbL3f7BWA57cf6gK7A50xtI5AAAAAAAAAAAvai1DT1JFAUL96uiGgqllk5/um3sr1bmWlP9k5+wyOBPJQzNsV54jgiio69CWp+UAAAAAAAAAABJqEEVYU0FUAQUbDw4OCx8SABMAAAAAAAAAACZqJEhhdGj+ifgwpdgIH5I6DHXfSI9MDlEf0GlRbQAnn83wOHHJ5AAAAAAAAAAALGpMKVJTS0JMT0NLOlmw4YleQ6EEc2Uxz6aVriMFEtaqrZHdYNnNQhcAcGwOASAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOyPmkEAAQD95QEBAAAAAAEBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/////ZAMRjA0s+r5tbQbjwO4N2GfpFvrlUPeB8lniZ8vw6esvnnWsx7jq/LoOEAAAAPCfkJ8JL0YyUG9vbC9iAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFAK8CAAAAAAAAByICAAAAAAAAGXapFMZ0ChLQp9VW+JeCv1+vDhLPJaY5iKwP9bYSAAAAABl2qRRp8qAfT/nmrCTfkGLpgodTR0s0gIisAAAAAAAAAAAmaiSqIant97anchjGInynCCWzI4j8WZFWvo6SfwiWZEIRnFyLK4UAAAAAAAAAAC9qLUNPUkUBQv3q6IaCqWWTn+6beyvVuZaU/2Tn7DI4E8lDM2xXniOCKKjr0Jan5QAAAAAAAAAAEmoQRVhTQVQBBRsPDg4LHxIAEwAAAAAAAAAAJmokSGF0aFXFDOcT15WsrTdF0A5+HPRHVecCXH1ZHmmbukRytaLSAAAAAAAAAAAsakwpUlNLQkxPQ0s60D1gz6zUvVZugsZrLujpAsK6jB3crISSz+GKFgBwCKQBIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9QvRPwABAP3lAQEAAAAAAQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP////9kAySSDSz6vm1tZtg4GeMJu+apemShZFacRc7Z0GUosmYr6Oh+w90hEuEQAAAA8J+QnwkvRjJQb29sL2QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAB1Z+SBAAAAAHIgIAAAAAAAAZdqkUxnQKEtCn1Vb4l4K/X68OEs8lpjmIrGL24xIAAAAAGXapFGnyoB9P+easJN+QYumCh1NHSzSAiKwAAAAAAAAAACZqJKohqe1Tga0WELU+EmKVxF+ZQ8dUhpjxBLVpbbEM1WG84lvCQAAAAAAAAAAAL2otQ09SRQH2/bwZol3JFFTOwZ73cU6LZ8Tg5ufsMjgTyUMzbFeeI4IoqOvQlqflAAAAAAAAAAASahBFWFNBVAEFGw8ODgsfEgATAAAAAAAAAAAmaiRIYXRok0lfdV+o+aWkYaMIIWP7xFfs5I7P1whZ269M0eKUU1EAAAAAAAAAACxqTClSU0tCTE9DSzqGH2EdG9LKilQx9vrtiOBplFmyyyO3tPLud+wQAHCYuQEgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD3XmFDAAEA/YkJAQAAABBs1U2RdlhuIzQ96ZZFPG5gsegLXUk/xPdykQ4aRpYsvgEAAABrSDBFAiEA9XkSeZ2Pvd3MYEjEpQKHc0OM3fV7hT2r2MNAcHnfBx8CIHPYRpKbwM3bnM+WTWU4WBh5/HMoC670/eU20yKtMHTfASEC3NCa3+bPF7B5voJwD31tii4LpVGghjSVC90XE9Qd3jsAAAAADs8cTHlVzYhonIzKd7KOcOa6FvsgMvuhDzDYE9nNXvMBAAAAa0gwRQIhALGod9wRcJyuv3C7xLzhn3Oumghnxjo8a1icnJ4jKKfOAiA7Tbho8N3eLz6ohkzWzEQnKzKa9w42eOAiY+sN1LBojQEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAAHHk+CDjnSc32Ol4UqxcFZLRs7BTQB562LPG3aODKm8kAQAAAGpHMEQCIAFWMbhWD48D0XpkRGJWlRs5r/kEbZhrUM0VnDSmgS/mAiAPaY8wN402UF+pst92iV7g3NvD9GqdS0GiKX6WYI+0qgEhAtzQmt/mzxeweb6CcA99bYouC6VRoIY0lQvdFxPUHd47AAAAALNg+OYDKEoMA6UPsgRk/4nsGnEJF5N3dgcuau20pMOdAQAAAGtIMEUCIQCDPrzFF5hCSwxRpcPJi6mZf7Edq5d1XnT4vbXgot5zGAIgUgeycmOv80mE1V+93hvByLWnikVvHtEsKkRD/Qd3SpoBIQLc0Jrf5s8XsHm+gnAPfW2KLgulUaCGNJUL3RcT1B3eOwAAAADBNKqFSpLknw8K2PMNUlIYQQb3ZWrXRB6IqEtD0yrX3AEAAABqRzBEAiBSGeBpmG4KcENLYxahr6TXlbN+HX4dY/1i2HnsBHac8AIgHNmuC24yGfM7

$VT is hot but don't miss MIRA Network! Only with Invite Code. Download MIRA Network app and mine Lumira. Lumira Coin is backed by Swiss Franc (CHF). Max. supply only 250,000,000 Coins!! Use Invitation Code: RMCFS85 Additional information: - This is a decentralized Al platform, allowing us to participate in mining and developing Al applications in a transparent and safe way. This is a new Project from the UK backed by Swiss Franc (CHF)

"bc1qrcu6fjehnau3kgu9vz9rswfc8vg3l6pad73fy2, bc1q3qpy88q4x6cvrpvh6czks9zckyev70eca6t390, bc1q88du9wwx2wh49udsq6pmugsanq5t2w8dupvxam, bc1ql793fklnz9r0q3ausmjzwv3r4cgtzj0yp2qpua, bc1qecegzfhgnv7jm9k588xe5rjf93leury2pr8vr8, bc1q9pklpf78z4lnqjsc8uq7dhfkvkga8lyhvqlr43, bc1ql8j2ym0cqzyvudw4f70gg0cqxsm4gendw6wfl9, bc1qgqcr0txmfqw4edtfy5gt6vuefftj3c09jff50n, bc1qhat3gn909gzjr79zgl2t60zdtzw3p9gn5n0gmh, bc1q8h83f345sw5627jessqrt9849krjhgy5vv7v6x, bc1qj7k5lzudfhf4cz9spzfs2y623xr9x4z735rgy2, bc1qpm4j03rrd5px5sfrh2473738le278r8hz33gwf, bc1qx4pay2lm77mkeudw0a444lecfk8l4z5xzvm7pd, bc1qt0yppxtvfhsdng6nda2rmy7srjf6sa2nnh3aec, bc1qlcawcka6qw9cp8r6mh0zhy87027m3pltrmrf50, bc1qxsvfkzdy47vt4w6s5ug97al4yu0mdn5j4vu9v4, bc1qalx0tut0yckqnmh7gsqjh30gfazqllezvkq22h, bc1qpsug9t5wslkj8zg2ed9gptl6832k8wky5e9k06, bc1qdxzw34dx7ngdfx77ay4283727d6gdeaj9s732m, bc1qs72df4emfy4qgdh9qxltxh8s5h3hcxw3pewmv5, bc1q2aqddqm8j03erfzpgshlxw8plr08z4l4aaalp3", "bc1q2zrc6t7zdklc54pffvg8f95qk70rue6lfct4ke, bc1qvetlaf9vxhpaze699s33g357y7drr80y9g2539, bc1q3zr2weqgeuuz4k2vdu7gyzh8ql4rvckrq6c2y6, bc1qzx04sy70zfvt4pyg3zz0nrn3fs8czrm9e4p8fq, bc1qqt6xjufqrvpqss3zcyfsvxc26xuqr2lyrs0hxa, bc1qd6u6x2pyxgdvlqrec56t7jeqpz09sr84j4244t, bc1q35hm0fq73a6fh59y7vkmlk5fuzf9j285kngukm, bc1qetpwqck5ulfv82hrmhvvy0tfmekvpq0yysw54p, bc1q5x38f4zlwrgtkj26tpg5rg3k0hyyxw4xf98tx4, bc1quwnufvhqx2s2fj9krjdy8lp8pycdxta5lt3qaf, bc1q4l6zg5tmpw9tzdqw62xayh4dk47e32dnk2c2fa, bc1qfr43593yez9e7mzj0e0x2qkxth6qyxc8v4styy, bc1q0knvdtktsn5nsk7jnywxkj8tr7mvylcgnyv4un, bc1qrajgyxrfk3a65tdh0yukqwyz20dxfrxhd3e767, bc1qmtyuujfpjkwas4nv2rl2npxjgnknhqdtj0xlx3, bc1qfzy4ayz4v0lsvdg9p3hyxacm3p8mdcpf8gyvxt, bc1qyvf3t5sv8q6sk9eavlm6n5qunmr44wc5gfrfx6, bc1qla9qn4w037g0pp5379wt84ks2s4h80m6tqeua8, bc1qr5t96ptxeu2fvt3eq8kye60vfkxxwgskkh6maa, bc1qwktux575gg93jphym9fje0wtufsyrlfrfatffz, bc1q9fta0692hkdqwhmmrklkrt90mhkezhq2ssuv80";