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
DavidDanielSteiner/btc_blockchain_analytics
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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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