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QQ.txt
Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets
Plain Text - 120 B - MD5: bd14411c6de4f710c65e07614c809a4d
QQ.txt
Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets
Plain Text - 580 B - MD5: facb57ddf85ee1a84ce6b1729a001233
QQ.txt
Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets
Plain Text - 80 B - MD5: 57f65b662594358f75f490e48c11c848
sp500_IT.m
Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets
MATLAB Source Code - 1.7 KB - MD5: 39d499b7ac2bf333f982fc8f244ae0a5
sp500_JJ_QQ.m
Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets
MATLAB Source Code - 16.8 KB - MD5: 9a06a3ed3bd99612435a9291cb7807c7
Bitcoin monthly stats.tab
Feb 7, 2025 - Bitcoin degree distribution and influential players
Tabular Data - 7.6 KB - 4 Variables, 180 Observations - UNF:6:LvdMy9dYyiyMp4xRtGtszw==
in_deg_dist_from2019.tab
Feb 7, 2025 - Bitcoin degree distribution and influential players
Tabular Data - 2.4 MB - 3 Variables, 155835 Observations - UNF:6:msEXvNCmemwLTOwMPu1qLg==
in_deg_dist_till2018.tab
Feb 7, 2025 - Bitcoin degree distribution and influential players
Tabular Data - 1.5 MB - 3 Variables, 99539 Observations - UNF:6:wlsE+vTPm6JCcHsraJUvng==
Most influential recipient 2023.tab
Feb 7, 2025 - Bitcoin degree distribution and influential players
Tabular Data - 1.9 MB - 3 Variables, 35055 Observations - UNF:6:Hi9r+4HfBd5EjQPN/HKznQ==
Most influential recipient from 2020 to 2022.tab
Feb 7, 2025 - Bitcoin degree distribution and influential players
Tabular Data - 7.6 MB - 3 Variables, 152847 Observations - UNF:6:4rsJnsYISv8X6x8pwPE8zg==
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