cryptocurrency
This dataset provides historical closing prices of 30 cryptocurrencies traded on the global cryptocurrency exchange, Binance, for a period of three months from January 01, 2022, to March 31, 2022. The data have been collected at three frequencies of 1 minute, 5 minutes, and 1 hour. The dataset has been filtered to include only the top 10% of cryptocurrencies with the highest trading volume to ensure adequate liquidity.
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Change address identification is one of the difficulties in bitcoin address clustering as an emerging social computing problem. Most of the current related research only applies to certain specific types of transactions and faces the problems of low recognition rate and high false positive rate. We innovatively propose a clustering method based on multi-conditional recognition of one-time change addresses and conduct experiments with on-chain bitcoin transaction data. The results show that the proposed method identifies at least 12.3\% more one-time change addresses than other heuristics.
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Bitcoin (BTC), ether (ETH), gridcoin (GRC), curecoin (CURE), and foldingcoin (FLDC) market capitalizations in USD.
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Although globalization and new advanced technologies have brought numerous benefits to humankind, they have also caused numerous concerns leading to the emergence of the first cryptocurrency Bitcoin after the global crisis of 2008. Despite the exponential growth of cryptocurrency use, scholarly research on this topic remained limited providing contradictory evidence.
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