Change

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

Get underlying data

crypto.dd.change(symbol: str, exchange: str = ‘binance’, start_date: int = 1262304000, end_date: int = 1663943882) -> pandas.core.frame.DataFrame

Returns 30d change of the supply held in exchange wallets of a certain symbol. [Source: https://glassnode.com]

Parameters
----------
symbol : str
    Asset symbol to search supply (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
    supply change in exchange wallets of a certain symbol over time

Getting charts

crypto.dd.change(symbol: str, exchange: str = ‘binance’, start_date: int = 1577836800, end_date: int = 1609459200, export: str = ‘’, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, chart=True) -> None

Display 30d change of the supply held in exchange wallets. [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)
export : str
    Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
    External axes (1 axis is expected in the list), by default None