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Analysing the impact of large value bitcoin transactions to exchanges on the bitcoin price. Usage of onchain (transactions) and offchain (labeled addresses, BTC/USD Price) data. Address classification of unknown addresses with machine learning

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DavidDanielSteiner/btc_blockchain_analytics

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Bitcoin Blockchain Analytics

Published in:      "Digital Economy and Decision Analytics (WS 19/20)"



Description:       "Analysing the impact of large value bitcoin transactions to exchanges on the bitcoin price. 
		    Usage of onchain (transactions) and offchain (labeled addresses, BTC/USD Price) data. 
		    Address classification of unknown addresses with machine learning (LightGBM)"



Keywords:          "Bitcoin, Blockchain, Transactions, Wallets, Addresses, Price, USD/BTC, Machine Learing, 
                    Multi Class Classification"



Author:            David Steiner



Submitted:         Feb 04 2020 by David Steiner



Files:             scripts.py , models.sav, data.csv, requirements.txt



Data: 		   Due to the large amount of the data (12GB), two compressed versions are hosted on Onedrive. 
                   Minimal dataset 	https://1drv.ms/u/s!AgU0MG6h8_27i95uCoCm9L9KV-swrw
                   Full dataset		https://1drv.ms/u/s!AgU0MG6h8_27i95v3FLqzxWfLpWCOg

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Analysing the impact of large value bitcoin transactions to exchanges on the bitcoin price. Usage of onchain (transactions) and offchain (labeled addresses, BTC/USD Price) data. Address classification of unknown addresses with machine learning

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