Whales

To obtain charts, make sure to add chart=True as the last parameter

Get underlying data

crypto.onchain.whales(min_value: int = 800000, limit: int = 100, sortby: str = ‘date’, ascend: bool = False) -> pandas.core.frame.DataFrame

Whale Alert’s API allows you to retrieve live and historical transaction data from major blockchains. Supported blockchain: Bitcoin, Ethereum, Ripple, NEO, EOS, Stellar and Tron. [Source: https://docs.whale-alert.io/]

Parameters
----------
min_value: int
    Minimum value of trade to track.
limit: int
    Limit of transactions. Max 100
sortby: str
    Key to sort by.
ascend: str
    Sort in ascending order.

Returns
-------
pd.DataFrame
    Crypto wales transactions

Getting charts

crypto.onchain.whales(min_value: int = 800000, limit: int = 100, sortby: str = ‘date’, ascend: bool = False, show_address: bool = False, export: str = ‘’, chart=True) -> None

Display huge value transactions from major blockchains. [Source: https://docs.whale-alert.io/]

Parameters
----------
min_value: int
    Minimum value of trade to track.
limit: int
    Limit of transactions. Maximum 100
sortby: str
    Key to sort by.
ascend: str
    Sort in ascending order.
show_address: bool
    Flag to show addresses of transactions.
export : str
    Export dataframe data to csv,json,xlsx file