Eb
To obtain charts, make sure to add chart=True as the last parameter
crypto.dd.eb(symbol: str, exchange: str = ‘binance’, start_date: int = 1262304000, end_date: int = 1663943882) -> pandas.core.frame.DataFrame
Returns the total amount of coins held on exchange addresses in units and percentage. [Source: https://glassnode.com]
Parameters
----------
symbol : str
Asset to search active addresses (e.g., BTC)
exchange : str
Exchange to check net position change (e.g., binance)
start_date : int
Initial date timestamp (e.g., 1_614_556_800)
end_date : int
End date timestamp (e.g., 1_614_556_800)
Returns
-------
pd.DataFrame
total amount of coins in units/percentage and symbol price over time
crypto.dd.eb(symbol: str, exchange: str = ‘binance’, start_date: int = 1577836800, end_date: int = 1609459200, percentage: bool = False, export: str = ‘’, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, chart=True) -> None
Display total amount of coins held on exchange addresses in units and percentage. [Source: https://glassnode.org]
Parameters
----------
symbol : str
Asset to search active addresses (e.g., BTC)
exchange : str
Exchange to check net position change (possible values are: aggregated, binance, bittrex,
coinex, gate.io, gemini, huobi, kucoin, poloniex, bibox, bigone, bitfinex, hitbtc, kraken,
okex, bithumb, zb.com, cobinhood, bitmex, bitstamp, coinbase, coincheck, luno)
start_date : int
Initial date timestamp (e.g., 1_614_556_800)
end_date : int
End date timestamp (e.g., 1_614_556_800)
percentage : bool
Show percentage instead of stacked value.
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (2 axes are expected in the list), by default None