Rafael Schultze-KraftinGlassnodeQuantifying Short-Term and Long-Term Holder Bitcoin SupplyWe introduce a new methodology to classify Bitcoin supply owned by long-term investors and short-term traders, and show when these two…8 min read·Nov 17, 2020----
Rafael Schultze-KraftinGlassnodeIntroducing Account-Based On-Chain Metrics for Bitcoin and EthereumEffectively mapping UTXO-based on-chain metrics to improved account-based versions for Bitcoin and Ethereum.7 min read·Apr 3, 2020----
Rafael Schultze-KraftinGlassnodeBreaking up On-Chain Metrics for Short and Long TermIntroducing SOPR and MVRV for Long and Short Term Holders7 min read·Mar 3, 2020----
Rafael Schultze-KraftinGlassnodeOver 75% of Bitcoin’s On-Chain Volume Doesn’t Change HandsAssessing Bitcoin’s True Transfer Volume7 min read·Feb 12, 2020----
Rafael Schultze-KraftinGlassnodeHow Many Entities Hold Bitcoin?Introducing a New Generation of Entity–based On–chain Metrics Using Advanced Data Science that Quantify the True Number of Bitcoin Holders.7 min read·Jan 28, 2020--2--2
Rafael Schultze-KraftinGlassnodeDissecting Bitcoin’s Unrealised On–Chain Profit/LossIntroducing a New Set of Metrics to Help Time Bitcoin Market Cycles8 min read·Nov 13, 2019--3--3
Rafael Schultze-KraftinGlassnodeAssessing the Distribution of ERC20 Tokens on the Ethereum NetworkOn-Chain Metrics Show Highly Uneven Token Distributions Across ERC20s8 min read·Oct 10, 2019----
Rafael Schultze-KraftAsymmetric Correlations of On–Chain Activity in Crypto NetworksAsymmetric on-chain data correlations show significant increases Litecoin network activity as a result of increased Bitcoin transaction…6 min read·Aug 1, 2019----
Rafael Schultze-KraftinGlassnodeAn On-chain Distribution Analysis of Basic Attention Token (BAT)Whales have been recently accumulating BAT, and their holdings are at an All Time High: The richest 1% currently hold 87% of BAT tokens.5 min read·Apr 10, 2019----
Rafael Schultze-KraftinHackerNoon.comDon’t be fooled — Deceptive Cryptocurrency Price Predictions Using Deep LearningWhy you should be cautious with neural networks for trading8 min read·Apr 16, 2018--17--17
