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.ipynb_checkpoints
Status ICO Data
.gitignore
README.md
blocks_mined_while_status_ico__block_data_pickle.p
blocks_mined_while_status_ico_pickle.p
corpetty_status-Copy1.ipynb
corpetty_status.ipynb
corpetty_status_pickle.p
from_scratch_using_pickles.ipynb
requirements.txt
status.ipynb
status_ico_transactions.p
status_ico_transactions_list.p
status_pickle.p

README.md

Analysis for Status.im ICO

if you like to understand what is going on please ask me (Shayan), I'd be happy to get more brains on this, specially if you know plotly and matplotlib


How to run

pip3 install -r requirements.txt

jupyter-notebook

you need etherscan api keys in place (~/.pyetherscan.ini)


Notes:

icoFirstTxBlock = 3903900 icoLastTxBlock = 3908029

f2pool (mined < 3908109) : 0x61C808D82A3Ac53231750daDc13c777b59310bD9

f2pool_2 (mined > 3908114: 0x829BD824B016326A401d083B33D092293333A830

Status ICO crowdsale: 0x55d34b686aa8C04921397c5807DB9ECEdba00a4c Status ICO contribution wallet (internal transactions from crowdsale): 0x2fDFdc48B4Ca0021E4C629F137d151b5910E6CD0

Ethereum blockchain parsers:

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