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Found 7 papers, 2 papers with code
Cryptocurrency co-investment network: token returns reflect investment patterns
Finally, studying the co-investment network of currencies that share common investors, we show that assets with shared investors tend to be characterized by similar market behavior.
Heterogeneous rarity patterns drive price dynamics in NFT collections
We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3. 7M transactions collected between January 2018 and June 2022, involving 1. 4M NFTs distributed across 410 collections.
Mapping the NFT revolution: market trends, trade networks and visual features
Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items.
From code to market: Network of developers and correlated returns of cryptocurrencies
"Code is law" is the funding principle of cryptocurrencies.
Infostop: Scalable stop-location detection in multi-user mobility data
Finally, we provide an open-source implementation of Infostop, written in Python and C++, that has a simple API and can be used both for labeling time-ordered coordinate sequences (GPS or otherwise), and unordered sets of spatial points.
Physics and Society Computers and Society
Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer
Empirical analysis is often the first step towards the birth of a conjecture.
Anticipating cryptocurrency prices using machine learning
Machine learning and AI-assisted trading have attracted growing interest for the past few years.
