Indicators
indicators
90D Coin Days Destroyed (CDD-90)
GET
https://api.glassnode.com/v1/metrics/indicators/cdd90_age_adjusted
90D Coin Days Destroyed is the 90 day rolling sum of Coin Days Destroyed (CDD) and shows the amount of coin days that have been destroyed over the past year. This version is age-adjusted meaning that we normalize by time in order to account for the increasing baseline as time goes by.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Accumulation Trend Score
GET
https://api.glassnode.com/v1/metrics/indicators/accumulation_trend_score
The Accumulation Trend Score is an indicator that reflects the relative size of entities that are actively accumulating coins on-chain in terms of their BTC holdings. The scale of the Accumulation Trend Score represents both the size of the entities balance (their participation score), and the amount of new coins they have acquired/sold over the last month (their balance change score). An Accumulation Trend Score of closer to 1 indicates that on aggregate, larger entities (or a big part of the network) are accumulating, and a value closer to 0 indicates they are distributing or not accumulating. This provides insight into the balance size of market participants, and their accumulation behavior over the last month. For more information see the metric description in Glassnode Academy.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
ASOL
GET
https://api.glassnode.com/v1/metrics/indicators/asol
Average Spent Output Lifespan (ASOL) is the average age (in days) of spent transaction outputs. Outputs with a lifespan of less than 1h are discarded.
Query Parameters
a*
string
asset symbol: BTC, ETH
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
aSOPR
GET
https://api.glassnode.com/v1/metrics/indicators/sopr_adjusted
Adjusted SOPR is SOPR ignoring all outputs with a lifespan of less than 1 hour.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 10m, 1h, 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
AVIV
GET
https://api.glassnode.com/v1/metrics/indicators/aviv
The True Market Mean Price, or the Active-Investor Price, is a representative cost basis model for all coins acquired on secondary markets. We argue that this on-chain cost basis is one of the most accurate models available for on-chain analysts seeking the aggregate average on-chain acquisition price by investors, and thus a likely reference point for mean reversion models.
The True Market Mean Price is calculated as the ratio between the Investor Cap and Active Supply.
Given the Active Supply represents the economically active supply region, we can thus deduce a new variant of MVRV, comparing the Active Market Cap to the Investor Cap. We propose this to be the True Market Deviation, or otherwise known as the Active-Value-to-Investor-Value (AVIV) Ratio. To date, the AVIV Ratio has shown a long-term mean and median very close to 1.0, providing a robust argument that the True Market Mean Price reflects a market wide cost basis.
Coined By
This metric was developed within the Cointime Economics framework for Bitcoin. This project was a joint venture between Glassnode and ARK Invest, with full details available in two formats: an overview primer (Version I published via ARK) and a comprehensive guide for specialists (Version II published via Glassnode).
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Balanced Price
GET
https://api.glassnode.com/v1/metrics/indicators/balanced_price_usd
Balanced Price is the difference between Realized Price and Transfer Price. Transfer Price is the cumulative sum of Coin Days Destroyed in USD, adjusted by circulating supply and total time since Bitcoin's inception. Balanced Price attempts to detect major cycle bottoms. This metric was created by David Puell. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Binary CDD
GET
https://api.glassnode.com/v1/metrics/indicators/cdd_supply_adjusted_binary
Binary Coin Days Destroyed (Binary CDD) is computed by thresholding Adjusted CDD by its average over time, i.e. taking the mean destruction over time and asking whether there were more Adjusted CDDs destroyed today than on average. Binary CDD is used in order to minimize the impact of exchange movements, which do not accurately reflect behavior of the long-term holders. This metric was developed by Hans Hauge and Ikigai. For more information see this post.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 1h, 24h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Coin Blocks Created (CBC)
GET
https://api.glassnode.com/v1/metrics/indicators/coin_blocks_created
Coin Blocks Created (CBC) is calculated by multiplying the value of each coin that has ever existed by the number of blocks the coin was unspent.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 10m, 1h, 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Coin Blocks Destroyed
GET
https://api.glassnode.com/v1/metrics/indicators/coin_blocks_destroyed
Coin Blocks Destroyed for any given transaction is calculated by taking the number of coins in a transaction and multiplying it by the number of blocks it has been since those coins were last spent.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 10m, 1h, 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Coin Days Destroyed (CDD)
GET
https://api.glassnode.com/v1/metrics/indicators/cdd
Coin Days Destroyed (CDD) for any given transaction is calculated by taking the number of coins in a transaction and multiplying it by the number of days it has been since those coins were last spent.
Query Parameters
a*
string
asset symbol: BTC, ETH
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Coin Years Destroyed (CYD)
GET
https://api.glassnode.com/v1/metrics/indicators/cyd
Coin Years Destroyed (CYD) is defined as the 365 day rolling sum of Coin Days Destroyed (CDD), and shows the amount of coin days that have been destroyed over the past year. It is indicative of long-term holder behaviour. This metric was first put forward by ARK Invest.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Cost Basis Distribution Quantiles
GET
https://api.glassnode.com/v1/metrics/indicators/cost_basis_distribution_quantiles
The Cost Basis Distribution (CBD) Quantiles metric calculates the distribution of realized prices for unspent digital assets by dividing them into 100 quantiles (percentiles) for each day. This metric provides a granular view of where the total supply was acquired, helping investors observe how supply is distributed across different price levels. By examining the quantile lines, investors can identify the proportion of supply that was acquired below the current market price and is potentially at a loss. Additionally, the metric allows users to detect price levels where a higher concentration of supply accumulated, as indicated by denser clustering of quantile lines over a specified time range. This detailed analysis helps investors understand both the current state of unrealized gains or losses and historical patterns of supply concentration.
Note: All CBD metrics utilize an address-based approach, analyzing holdings based on individual wallet addresses for consistency across digital assets and comparability across blockchain architectures. This differs from a UTXO-based approach, as used in metrics like URPD, which categorizes supply based on unspent transaction outputs, typically used for chains like Bitcoin. Therefore, metrics for UTXO-based assets may show slight differences when compared across these distinct computational methods.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
CVDD
GET
https://api.glassnode.com/v1/metrics/indicators/cvdd
Cumulative Value-Days Destroyed (CVDD) is the ratio of the cumulative USD value of Coin Days Destroyed and the market age (in days). Historically, CVDD has been an accurate indicator for global Bitcoin market bottoms. This metric was created by Willy Woo. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Difficulty Ribbon
GET
https://api.glassnode.com/v1/metrics/indicators/difficulty_ribbon
The Difficulty Ribbon is an indicator that uses simple moving averages (200d, 128d, 90d, 60d, 40d, 25d, 14d) of the Bitcoin mining difficulty to create the ribbon. Historically, periods when the ribbon compresses have been good buying opportunities. The Difficulty Ribbon was created by Willy Woo. For more information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Difficulty Ribbon Compression
GET
https://api.glassnode.com/v1/metrics/indicators/difficulty_ribbon_compression
Difficulty Ribbon Compression is a market indicator that uses a normalized standard deviation to quantify compression of the Difficulty Ribbon. Historically, zones of high compression (low values) have been good buying opportunities. The compression threshold is set here at 0.05.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Dormancy
GET
https://api.glassnode.com/v1/metrics/indicators/average_dormancy
Dormancy is the average number of days destroyed per coin transacted, and is defined as the ratio of coin days destroyed and total transfer volume. This metric was created by Reginald Smith and David Puell. Read more in this article.
Query Parameters
a*
string
asset symbol: BTC, ETH
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity- and Supply-Adjusted CYD
GET
https://api.glassnode.com/v1/metrics/indicators/cyd_account_based_supply_adjusted
Coin Years Destroyed (CYD) is defined as the 365 day rolling sum of Coin Days Destroyed (CDD), and shows the amount of coin days that have been destroyed over the past year. It is indicative of long-term holder behaviour. This version is entity-adjusted, meaning that transactions within addresses controlled by the same network participant are discarded (see this article for more information), as well as supply-adjusted to account for the increasing baseline of the metric over time. This metric was first put forward by ARK Invest and further developed by Glassnode by adjusting for the circulating supply.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted 90D Coin Days Destroyed (eCDD-90)
GET
https://api.glassnode.com/v1/metrics/indicators/cdd90_account_based_age_adjusted
90D Coin Days Destroyed is the 90 day rolling sum of Coin Days Destroyed (CDD) and shows the amount of coin days that have been destroyed over the past year. This version is entity-adjusted, meaning that transactions within addresses controlled by the same network participant are discarded (see this article for more information), as well as age-adjusted meaning that we normalize by time in order to account for the increasing baseline as time goes by.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted ASOL
GET
https://api.glassnode.com/v1/metrics/indicators/asol_account_based
Entity-adjusted ASOL is an improved variant of ASOL that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted ASOL therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted CDD
GET
https://api.glassnode.com/v1/metrics/indicators/cdd_account_based
Entity-adjusted CDD is an improved variant of CDD that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted CDD therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted CYD
GET
https://api.glassnode.com/v1/metrics/indicators/cyd_account_based
Coin Years Destroyed (CYD) is defined as the 365 day rolling sum of Coin Days Destroyed (CDD), and shows the amount of coin days that have been destroyed over the past year. It is indicative of long-term holder behaviour. This version is entity-adjusted, meaning that transactions within addresses controlled by the same network participant are discarded (see this article for more information). This metric was first put forward by ARK Invest.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Dormancy
GET
https://api.glassnode.com/v1/metrics/indicators/dormancy_account_based
Entity-adjusted Dormancy is an improved variant of Average Coin Dormancy that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted Dormancy therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Dormancy Flow
GET
https://api.glassnode.com/v1/metrics/indicators/dormancy_flow
Entity-adjusted Dormancy Flow is the ratio of the current market capitalization and the annualized dormancy value (measured in USD). Entity-adjusted Dormancy Flow can be used to time market lows and assess whether the bull market remains in relatively normal conditions. It helps confirm whether Bitcoin is in a bullish or bearish primary trend. This metric was put forward by David Puell. For more information please read his introductory article.
Query Parameters
a*
string
asset symbol: BTC, ETH
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Liveliness
GET
https://api.glassnode.com/v1/metrics/indicators/liveliness_account_based
Entity-adjusted Liveliness is an improved variant of Liveliness that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted Liveliness therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Long-Term Holder ASOL
GET
https://api.glassnode.com/v1/metrics/indicators/asol_lth_account_based
Long-Term Holder variant of Entity-Adjusted ASOL. Average Spent Output Lifespan (ASOL) is the average age (in days) of spent transaction outputs. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Long-Term Holder CDD
GET
https://api.glassnode.com/v1/metrics/indicators/cdd_lth_account_based
Long-Term Holder variant of Entity-Adjusted CDD. Coin Days Destroyed (CDD) for any given transaction is calculated by taking the number of coins in a transaction and multiplying it by the number of days it has been since those coins were last spent. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Long-Term Holder Dormancy
GET
https://api.glassnode.com/v1/metrics/indicators/dormancy_lth_account_based
Long-Term Holder variant of Entity-Adjusted Dormancy. Dormancy is the average number of days destroyed per coin transacted, and is defined as the ratio of coin days destroyed and total transfer volume. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted LTH Realized Loss
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_lth_account_based
Entity-Adjusted variant of Realized Loss for Long-Term Holders, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted LTH Realized Loss to Exchanges
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_lth_to_exchanges_account_based
Entity-Adjusted variant of Realized Loss for coins that are sent from Long-Term Holders to exchanges. Realized loss denotes the total loss (in USD) of all moved coins whose price at their last movement was higher than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Note that exchange metrics are based on our labeled data of exchange addresses that we constantly keep updating, as well as data science techniques and statistical information that changes over time. Therefore these metrics are mutable – the data is stable, but especially most recent data points are subject to slight fluctuations as time progresses.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
e
string
exchange name: aggregated, binance, bitfinex, bitget, bithumb, bitmex, bitstamp, bittrex, bybit, coinbase, coincheck, coinex, crypto.com, deribit, ftx, gate.io, gemini, hitbtc, huobi, korbit, kraken, kucoin, luno, okex, poloniex, swissborg
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted LTH Realized Profit
GET
https://api.glassnode.com/v1/metrics/indicators/realized_profit_lth_account_based
Entity-Adjusted variant of Realized Profit for Long-Term Holders, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted LTH Realized Profit to Exchanges
GET
https://api.glassnode.com/v1/metrics/indicators/realized_profit_lth_to_exchanges_account_based
Entity-Adjusted variant of Realized Profit for coins that are sent from Long-Term Holders to exchanges. Realized profit denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Note that exchange metrics are based on our labeled data of exchange addresses that we constantly keep updating, as well as data science techniques and statistical information that changes over time. Therefore these metrics are mutable – the data is stable, but especially most recent data points are subject to slight fluctuations as time progresses.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
e
string
exchange name: aggregated, binance, bitfinex, bitget, bithumb, bitmex, bitstamp, bittrex, bybit, coinbase, coincheck, coinex, crypto.com, deribit, ftx, gate.io, gemini, hitbtc, huobi, korbit, kraken, kucoin, luno, okex, poloniex, swissborg
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted LTH-NUPL
GET
https://api.glassnode.com/v1/metrics/indicators/nupl_more_155_account_based
Entity-adjusted LTH-NUPL is an improved variant of Long-Term Holders Net Unrealized Profit/Loss (LTH-NUPL) that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted LTH NUPL therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article. An entity is considered as a Long-Term Holder if the time since its averaged purchasing date is more than 155 days.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted MSOL
GET
https://api.glassnode.com/v1/metrics/indicators/msol_account_based
Entity-adjusted MSOL is an improved variant of MSOL that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted MSOL therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted MVRV
GET
https://api.glassnode.com/v1/metrics/indicators/mvrv_account_based
Entity-adjusted MVRV is an improved variant of MVRV Ratio that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted MVRV therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted NUPL
GET
https://api.glassnode.com/v1/metrics/indicators/net_unrealized_profit_loss_account_based
Entity-adjusted NUPL is an improved variant of Net Unrealized Profit/Loss (NUPL) that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted NUPL therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted NVT
GET
https://api.glassnode.com/v1/metrics/indicators/nvt_entity_adjusted
The Network Value to Transactions (NVT) Ratio is computed by dividing the market cap by the transferred on-chain volume measured in USD. This entity-adjusted version of the NVT Ratio uses entity-adjusted on-chain volume and is therefore more accurate as it accounts for actual economic throughput.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Realized Cap
GET
https://api.glassnode.com/v1/metrics/indicators/rcap_account_based
Entity-adjusted Realized Cap is an improved variant of Realized Cap that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted Realized Cap therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Realized Loss
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_account_based
Entity-Adjusted variant of Realized Loss, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Realized Loss to Exchanges
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_to_exchanges_account_based
Entity-Adjusted variant of Realized Loss for coins that are sent to exchanges. Realized loss denotes the total loss (in USD) of all moved coins whose price at their last movement was higher than the price at the current movement.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Note that exchange metrics are based on our labeled data of exchange addresses that we constantly keep updating, as well as data science techniques and statistical information that changes over time. Therefore these metrics are mutable – the data is stable, but especially most recent data points are subject to slight fluctuations as time progresses.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
e
string
exchange name: aggregated, binance, bitfinex, bitget, bithumb, bitmex, bitstamp, bittrex, bybit, coinbase, coincheck, coinex, crypto.com, deribit, ftx, gate.io, gemini, hitbtc, huobi, korbit, kraken, kucoin, luno, okex, poloniex, swissborg
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Realized Profit
GET
https://api.glassnode.com/v1/metrics/indicators/realized_profit_account_based
Entity-Adjusted variant of Realized Profit, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Realized Profit to Exchanges
GET
https://api.glassnode.com/v1/metrics/indicators/realized_profit_to_exchanges_account_based
Entity-Adjusted variant of Realized Profit for coins that are sent to exchanges. Realized profit denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Note that exchange metrics are based on our labeled data of exchange addresses that we constantly keep updating, as well as data science techniques and statistical information that changes over time. Therefore these metrics are mutable – the data is stable, but especially most recent data points are subject to slight fluctuations as time progresses.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
e
string
exchange name: aggregated, binance, bitfinex, bitget, bithumb, bitmex, bitstamp, bittrex, bybit, coinbase, coincheck, coinex, crypto.com, deribit, ftx, gate.io, gemini, hitbtc, huobi, korbit, kraken, kucoin, luno, okex, poloniex, swissborg
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Short-Term Holder ASOL
GET
https://api.glassnode.com/v1/metrics/indicators/asol_sth_account_based
Short-Term Holder variant of Entity-Adjusted ASOL. Average Spent Output Lifespan (ASOL) is the average age (in days) of spent transaction outputs. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Short-Term Holder CDD
GET
https://api.glassnode.com/v1/metrics/indicators/cdd_sth_account_based
Short-Term Holder variant of Entity-Adjusted CDD. Coin Days Destroyed (CDD) for any given transaction is calculated by taking the number of coins in a transaction and multiplying it by the number of days it has been since those coins were last spent. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Short-Term Holder Dormancy
GET
https://api.glassnode.com/v1/metrics/indicators/dormancy_sth_account_based
Short-Term Holder variant of Entity-Adjusted Dormancy. Dormancy is the average number of days destroyed per coin transacted, and is defined as the ratio of coin days destroyed and total transfer volume. Transactions between addresses of the same entity ("in-house" transactions) are discarded. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted SOPR
GET
https://api.glassnode.com/v1/metrics/indicators/sopr_account_based
Entity-adjusted SOPR is an improved variant of SOPR that discards transactions between addresses of the same entity ("in-house" transactions). Entity-adjusted SOPR therefore accounts for real economic activity only, and provides an improved market signal compared to its raw UTXO-based counterpart. For detailed information read this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Age Bands (SVAB)
GET
https://api.glassnode.com/v1/metrics/indicators/svab_entity_adjusted
Spent Volume Age Bands (SVAB) is a separation of the on-chain transfer volume based on the coins' age. Each band represents the percentage of spent volume that was previously moved within the time period denoted in the legend. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan < 24h
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_24h
The total transfer volume of coins younger than 24 hours. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan > 10y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_more_10y
The total transfer volume of coins that were last active more than 10 years ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 1d-1w
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_1d_1w
The total transfer volume of coins that were last active between 1d and 1w ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 1m-3m
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_1m_3m
The total transfer volume of coins that were last active between 1m and 3m ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 1w-1m
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_1w_1m
The total transfer volume of coins that were last active between 1w and 1m ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 1y-2y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_1y_2y
The total transfer volume of coins that were last active between 1y and 2y ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 2y-3y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_2y_3y
The total transfer volume of coins that were last active between 2y and 3y ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 3m-6m
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_3m_6m
The total transfer volume of coins that were last active between 3m and 6m ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 3y-5y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_3y_5y
The total transfer volume of coins that were last active between 3y and 5y ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 5y-7y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_5y_7y
The total transfer volume of coins that were last active between 5y and 7y ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 6m-12m
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_6m_12m
The total transfer volume of coins that were last active between 6m and 12m ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted Spent Volume Lifespan 7y-10y
GET
https://api.glassnode.com/v1/metrics/indicators/svl_entity_adjusted_7y_10y
The total transfer volume of coins that were last active between 7y and 10y ago. This metric is entity-adjusted and discards transactions between addresses of the same entity ("in-house" transactions).
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
c
string
currency: native, usd
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted STH Realized Loss
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_sth_account_based
Entity-Adjusted variant of Realized Loss for Short-Term Holders, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted STH Realized Loss to Exchanges
GET
https://api.glassnode.com/v1/metrics/indicators/realized_loss_sth_to_exchanges_account_based
Entity-Adjusted variant of Realized Loss for coins that are sent from Short-Term Holders to exchanges. Realized loss denotes the total loss (in USD) of all moved coins whose price at their last movement was higher than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Note that exchange metrics are based on our labeled data of exchange addresses that we constantly keep updating, as well as data science techniques and statistical information that changes over time. Therefore these metrics are mutable – the data is stable, but especially most recent data points are subject to slight fluctuations as time progresses.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m
f
string
format: csv, json
e
string
exchange name: aggregated, binance, bitfinex, bitget, bithumb, bitmex, bitstamp, bittrex, bybit, coinbase, coincheck, coinex, crypto.com, deribit, ftx, gate.io, gemini, hitbtc, huobi, korbit, kraken, kucoin, luno, okex, poloniex, swissborg
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
Entity-Adjusted STH Realized Profit
GET
https://api.glassnode.com/v1/metrics/indicators/realized_profit_sth_account_based
Entity-Adjusted variant of Realized Profit for Short-Term Holders, which denotes the total profit (in USD) of all moved coins whose price at their last movement was lower than the price at the current movement. Long- and Short-Term Holder supply is defined with respect to the entity's averaged purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days.
Volume transferred between addresses owned by the same entity cluster is excluded. As such, no value is realized during internal or “in-house” transfers.
Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.
Query Parameters
a*
string
asset symbol: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 24h, 1h, 10m