What happens with ERC20 tokens? Everything is very good, even in a crisis, the volume of transactions was stable! We classified ERC20 tokens transfers and see how classes are distributed over time
Paper here: https://medium.com/cyber-drop/how-changeable-are-erc-20-tokens-in-time-behavioral-analysis-studies-163df851758f
The aim of our new metrics, now live on SANgraphs, is to measure the amount of ETH locked away in these contracts
Paper here: https://santiment.net/blog/new-metrics-eth-locked/
We described the basic DEX operating principles
Paper here: https://medium.com/cyber-drop/what-decentralized-exchanges-are-and-how-they-work-def21b8b4706
How mining pools and miners behaved in time
Paper here: https://medium.com/cyber-drop/ethereum-miners-analysis-over-time-7dbe32b328fe
We found the addresses of active mining pools and miners
Paper here: https://medium.com/cyber-drop/how-we-searched-for-miners-for-robonomics-token-airdrop-9b64e5c70f68
41% of the bets were delivered by a suspicious system of linked addresses.
Paper here: https://medium.com/@cyber_drop/dapp-transactions-analysis-etheroll-suspicious-gambler-f37a7263da5
52% of the bets were delivered by a suspicious system of linked addresses.
Paper here: https://medium.com/@cyber_drop/dapp-transactions-analysis-dice2win-case-study-cbbf0f29f2f0
68% of total Ethereum transaction value controlled by one system
Paper here: https://blog.cyber.fund/huge-ethereum-mixer-6cf98680ee6c
Python notebook here: transaction_analysis_huge_ethereum_mixer_171125.ipynb
For working with ipython3 notebook you need:
- Install and synchronize Parity 1.6.10 (sync Parity db isn't less than 24GB)
- Launch ethdrain.py (https://github.com/cyberFund/ethdrain) with following parametrs: python3 ethdrain.py -o csv
- Copy "transactions.csv" to path ipython3 notebook
- Run all in transaction_analysis_huge_ethereum_mixer.ipynb