mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 11:17:47 +00:00
Mark Aron Szulyovszky
561 lines
22 KiB
Python
561 lines
22 KiB
Python
from .utils import *
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from .client import GlassnodeClient
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class Supply:
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"""
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Supply class.
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Methods
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-------
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__init__(glassnode_client):
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Constructs a Supply object.
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liquid_illiquid_supply():
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Returns the total supply held by illiquid, liquid, and highly liquid entities.
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liquid_supply_change():
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Returns the monthly (30d) net change of supply held by liquid and highly liquid entities.
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illiquid_supply_change():
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Returns the monthly (30d) net change of supply held by illiquid entities.
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circulating_supply():
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Returns the total amount of all coins ever created/issued.
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issuance():
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Returns the total amount of new coins added to the current supply.
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inflation_rate():
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Returns the yearly inflation rate.
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supply_last_active_less_24h():
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Returns the amount of circulating supply last moved in the last 24 hours.
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supply_last_active_1d_1w():
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Returns the amount of circulating supply last moved between 1 day and 1 week ago.
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supply_last_active_1w_1m():
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Returns the amount of circulating supply last moved between 1 week and 1 month ago.
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supply_last_active_1m_3m():
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Returns the amount of circulating supply last moved between 1 month and 3 months ago.
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supply_last_active_3m_6m():
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Returns the amount of circulating supply last moved between 3 months and 6 months ago.
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supply_last_active_6m_12m():
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Returns the amount of circulating supply last moved between 6 months and 12 months ago.
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supply_last_active_1y_2y():
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Returns the amount of circulating supply last moved between 1 year and 6 years ago.
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supply_last_active_2y_3y():
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Returns the amount of circulating supply last moved between 2 years and 3 years ago.
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supply_last_active_3y_5y():
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Returns the amount of circulating supply last moved between 3 years and 5 years ago.
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supply_last_active_5y_7y():
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Returns the amount of circulating supply last moved between 5 years and 7 years ago.
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supply_last_active_7y_10y():
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Returns the amount of circulating supply last moved between 7 years and 10 years ago.
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supply_last_active_more_10y():
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Returns the amount of circulating supply last moved more than 10 years ago.
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hodl_waves():
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Returns a bundle of all active supply age bands, aka HODL waves.
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supply_last_active_more_1y_ago():
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Returns the percent of circulating supply that has not moved in at least 1 year.
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supply_last_active_more_2y_ago():
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Returns the percent of circulating supply that has not moved in at least 2 years.
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supply_last_active_more_3y_ago():
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Returns the percent of circulating supply that has not moved in at least 3 years.
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supply_last_active_more_5y_ago():
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Returns the percent of circulating supply that has not moved in at least 5 years.
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realized_cap_hodl_waves():
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Returns HODL waves weighted by Realized Price.
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adjusted_supply():
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Returns the circulating supply adjusted by accounting for lost coins.
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supply_in_profit():
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Returns the circulating supply in profit.
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supply_in_loss():
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Returns the circulating supply in loss.
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supply_in_profit_relative():
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Returns the percentage of circulating supply in profit.
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short_term_holder_supply():
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Returns the total amount of circulating supply held by short-term holders.
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long_term_holder_supply():
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Returns the total amount of circulating supply held by long-term holders.
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short_term_holder_supply_in_loss():
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Returns the total amount of circulating supply that is currently at loss and held by short-term holders.
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long_term_holder_supply_in_loss():
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Returns the total amount of circulating supply that is currently at loss and held by long-term holders.
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short_term_holder_supply_in_profit():
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Returns the total amount of circulating supply that is currently in profit and held by short-term holders.
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long_term_holder_supply_in_profit():
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Returns the total amount of circulating supply that is currently in profit and held by long-term holders.
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relative_long_short_term_holder_supply():
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Returns the relative amount of circulating supply of held by long- and short-term holders in profit/loss.
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long_term_holder_position_change():
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Returns the monthly net position change of long-term holders.
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"""
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def __init__(self, glassnode_client: GlassnodeClient):
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self._gc = glassnode_client
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def liquid_illiquid_supply(self) -> pd.DataFrame:
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"""
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The total supply held by illiquid, liquid, and highly liquid entities.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LiquidIlliquidSum>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/liquid_illiquid_sum'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def liquid_supply_change(self) -> pd.DataFrame:
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"""
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The monthly (30d) net change of supply held by liquid and highly liquid entities.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LiquidChange>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/liquid_change'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def illiquid_supply_change(self) -> pd.DataFrame:
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"""
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The monthly (30d) net change of supply held by illiquid entities.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.IlliquidChange>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/illiquid_change'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def circulating_supply(self) -> pd.DataFrame:
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"""
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The total amount of all coins ever created/issued, i.e. the circulating supply.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Current>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/current'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def issuance(self) -> pd.DataFrame:
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"""
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The total amount of new coins added to the current supply,
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i.e. minted coins or new coins released to the network.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Issued>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/issued'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def inflation_rate(self) -> pd.DataFrame:
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"""
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The yearly inflation rate, i.e. the percentage of new coins issued,
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divided by the current supply (annualized).
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.InflationRate>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/inflation_rate'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_less_24h(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved in the last 24 hours.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active24H>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_24h'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_1d_1w(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 1 day and 1 week ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active1D1W>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_1d_1w'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_1w_1m(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 1 week and 1 month ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active1W1M>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_1w_1m'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_1m_3m(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 1 month and 3 months ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active1M3M>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_1m_3m'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_3m_6m(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 3 months and 6 months ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active3M6M>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_3m_6m'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_6m_12m(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 6 months and 12 months ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active6M12M>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_6m_12m'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_1y_2y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 1 year and 2 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active1Y2Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_1y_2y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_2y_3y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 2 years and 3 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active1Y2Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_2y_3y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_3y_5y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 3 years and 5 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active3Y5Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_3y_5y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_5y_7y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 5 years and 7 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active5Y7Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_5y_7y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_7y_10y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved between 7 years and 10 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.Active7Y10Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_7y_10y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_more_10y(self) -> pd.DataFrame:
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"""
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The amount of circulating supply last moved more than 10 years ago.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ActiveMore10Y>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_more_10y'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def hodl_waves(self) -> pd.DataFrame:
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"""
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Bundle of all active supply age bands, aka HODL waves.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.HodlWaves>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/hodl_waves'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_more_1y_ago(self) -> pd.DataFrame:
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"""
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The percent of circulating supply that has not moved in at least 1 year.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ActiveMore1YPercent>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_more_1y_percent'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_more_2y_ago(self) -> pd.DataFrame:
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"""
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The percent of circulating supply that has not moved in at least 2 years.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ActiveMore2YPercent>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_more_2y_percent'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_more_3y_ago(self) -> pd.DataFrame:
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"""
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The percent of circulating supply that has not moved in at least 3 years.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ActiveMore3YPercent>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_more_3y_percent'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_last_active_more_5y_ago(self) -> pd.DataFrame:
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"""
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The percent of circulating supply that has not moved in at least 5 years.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ActiveMore5YPercent>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/active_more_5y_percent'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def realized_cap_hodl_waves(self) -> pd.DataFrame:
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"""
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HODL Waves weighted by Realized Price.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.RcapHodlWaves>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/rcap_hodl_waves'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def adjusted_supply(self) -> pd.DataFrame:
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"""
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The circulating supply adjusted by accounting for lost coins.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.CurrentAdjusted>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/current_adjusted'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_in_profit(self) -> pd.DataFrame:
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"""
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The circulating supply in profit,
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i.e. the amount of coins whose price at the time they last moved was lower than the current price.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ProfitSum>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/profit_sum'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_in_loss(self) -> pd.DataFrame:
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"""
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The circulating supply in loss,
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i.e. the amount of coins whose price at the time they last moved was higher than the current price.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LossSum>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/loss_sum'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
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return response_to_dataframe(self._gc.get(endpoint))
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def supply_in_profit_relative(self) -> pd.DataFrame:
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"""
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The percentage of circulating supply in profit.
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`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.ProfitRelative>`_
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:rtype: DataFrame
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"""
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endpoint = '/v1/metrics/supply/profit_relative'
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if not is_supported_by_endpoint(self._gc, endpoint):
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return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def short_term_holder_supply(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply held by short-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.SthSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/sth_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def long_term_holder_supply(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply held by long-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LthSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/lth_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def short_term_holder_supply_in_loss(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply that is currently at loss and held by short-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.SthLossSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/sth_loss_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def long_term_holder_supply_in_loss(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply that is currently at loss and held by long-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LthLossSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/lth_loss_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def short_term_holder_supply_in_profit(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply that is currently in profit and held by short-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.SthProfitSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/sth_profit_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def long_term_holder_supply_in_profit(self) -> pd.DataFrame:
|
|
"""
|
|
The total amount of circulating supply that is currently in profit and held by long-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LthProfitSum>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/lth_profit_sum'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def relative_long_short_term_holder_supply(self) -> pd.DataFrame:
|
|
"""
|
|
The relative amount of circulating supply of held by long- and short-term holders in profit/loss.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LthSthProfitLossRelative>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/lth_sth_profit_loss_relative'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|
|
|
|
def long_term_holder_position_change(self) -> pd.DataFrame:
|
|
"""
|
|
The monthly net position change of long-term holders,
|
|
i.e. the 30 day change in supply held by long-term holders.
|
|
`View in Studio <https://studio.glassnode.com/metrics?a=BTC&m=supply.LthNetChange>`_
|
|
|
|
:rtype: DataFrame
|
|
"""
|
|
endpoint = '/v1/metrics/supply/lth_net_change'
|
|
if not is_supported_by_endpoint(self._gc, endpoint):
|
|
return pd.DataFrame()
|
|
|
|
return response_to_dataframe(self._gc.get(endpoint))
|