Signals
Last updated
Last updated
GET https://api.glassnode.com/v1/metrics/signals/altcoin_indexThe Altcoin Cycle Signal measures whether the market favors bitcoin versus all altcoins. During Bitcoin Season, bitcoin is likely to outperform the basket of all altcoins and during Altcoin Season this dynamic inverts. The signal is meant to be largely agnostic to which altcoins in particular an investor holds. The Altcoin Cycle Signal is based on price data of the top 250 altcoins by market capitalization (excluding stablecoins). This metric is updated daily at 10:15 UTC, providing us with the previous day's data point at this time.
For more information on its interpretation and methodology see .
a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_risk_indexThe Bitcoin Risk Signal gauges the amount of risk of a major drawdown in bitcoin price. It is based on a set of proprietary indicators, including bitcoin price data, on-chain data, and a selection of other trading metrics.
a*
string
asset id: BTC
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)
GET https://api.glassnode.com/v1/metrics/signals/btc_sharpe_signalThe signal is refreshed daily at 04:00 AM UTC effectively finalizing the previous day's timestamp. Please note that the standard version of the signal includes a 1-day lag.
a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_indicator_1a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_indicator_2a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_indicator_3a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_indicator_4a*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_shortThe Bitcoin Sharpe Signal Short is a machine-learning-based strategy designed to anticipate market turmoil using on-chain data. The signal can help identify potential opportunities to short Bitcoin with reduced downside risk. The model's confidence is visually represented, with red for the highest confidence in market sell-off and yellow to green for reduced confidence. When the indicator surges beyond the 0.5 mark, it has historically been associated with imminent market downturns.
a*
string
asset id: BTC
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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_goldilocks_shortSignal decision extracted from the Goldilocks Zone. Prime area to be short on Bitcoin according to the Bitcoin Sharpe Signal Short.
a*
string
asset id: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 1h, 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_goldilocksa*
string
asset id: 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)
GET https://api.glassnode.com/v1/metrics/signals/ecosystem_momentum_indexThe L1 Momentum Signal evaluates the propensity of a Layer 1 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric.
BNB: The L1 Momentum Signal evaluates the propensity of a Layer 1 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
The current ecosystem captures the following assets: 1INCH, ALPHA, AUCTION, AUTO, BAKE, BEL, BIFI, BNB, BTCST, CAKE, DEGO, DEXE, GRT, INJ, ONT, REEF, SFP, SXP, TWT, UNFI, XVS.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric.
DOT: The L1 Momentum Signal evaluates the propensity of a Layer 1 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
The current ecosystem captures the following assets: ADX, AKRO, ANKR, AUCTION, BLZ, CELR, DEGO, DOCK, DOT, FIS, KSM, LINA, LINK, LIT, OCEAN, OM, ONT, PHA, POLS, REEF, REN, ZRX.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric.
SOL: The L1 Momentum Signal evaluates the propensity of a Layer 1 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
The current ecosystem captures the following assets: AR, AUDIO, BAND, CVC, FRONT, GRT, LINK, LUNA, RAMP, REN, SOL, SRM, WAVES.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric
ATOM: The L1 Momentum Signal evaluates the propensity of a Layer 1 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
The current ecosystem captures the following assets: ANT, ATOM, BAND, BLZ, CTK, FET, HARD, INJ, IRIS, KAVA, LUNA, MIR, RUNE, SCRT.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric.
MATIC: The L2 Momentum Signal evaluates the propensity of a Layer 2 ecosystem to move into an exponential trend that can be either positive or negative. It can be used to evaluate the likelihood of a short-term exponential price momentum continuing and intensifying. The Signal is based on a proprietary statistical method that identifies whether the underlying distribution of an asset's returns has departed from its usual structure.
The current ecosystem captures the following assets: AAVE, ANKR, AUTO, BAND, BIFI, CRV, CVP, DIA, GHST, GRT, INJ, MANA, MATIC, OCEAN, OM, PNT, REEF, REP, SUPER, SUSHI, TRB, TVK, TWT, UMA.
Note: Data for 1 hour resolution is updated every 6 hours due to a data source limitation for this metric.
a*
string
asset id: ATOM, BNB, DOT, MATIC, POL, SOL
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)
GET https://api.glassnode.com/v1/metrics/signals/btc_bss_v2The signal uses a unique ML-based approach with on-chain data to strategically minimize downside risks and capture rising trends in Bitcoin. In the context of enhancing risk-adjusted returns, the model's confidence is visually represented, with green for the highest confidence and orange to red for reduced confidence. A surge beyond the 0.5 mark has historically been associated with improved risk-adjusted performance in Bitcoin.
a*
string
asset id: BTC
s
integer
since, unix timestamp
u
integer
until, unix timestamp
i
string
frequency interval: 1h, 24h
f
string
format: csv, json
timestamp_format
string
timestamp format: unix or humanized (RFC 3339)
GET https://api.glassnode.com/v1/metrics/signals/mcap_returns_vs_btcThe Market Capitalization Grouping vs BTC highlights the relative price performance of market capitalization size-based clusters versus bitcoin. Market capitalization groupings are defined as, Large Cap: >1B $, Mid Cap: 1B-100M $, Small Cap: 100M-50M $.
a*
string
asset id: BTC
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)
GET https://api.glassnode.com/v1/metrics/signals/l1_native_tokens_returns_vs_btcThe L1 Native Token Returns vs BTC highlights the relative price performance of large L1 native tokens versus bitcoin.
a*
string
asset id: BTC
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)
For more information on its interpretation and methodology see .
The Glassnode Bitcoin Sharpe signal uses a unique ML-based approach with on-chain data to strategically minimize downside risks and capture rising trends in Bitcoin. In the context of enhancing risk-adjusted returns, the model's confidence is visually represented, with green for the highest confidence and orange to red for reduced confidence. A surge beyond the 0.5 mark has historically been associated with improved risk-adjusted performance in Bitcoin. For more information on its interpretation and methodology see this .
For Enterprise clients interested in looking to trade with same-day data, learn more about the signal's full potential, or understand the methodology that underpins it, we encourage you to contact our .
Derived directly from entities' profit, this indicator offers a nuanced view of entities profit momentum. This indicator is used as one of the main features of the .
This refined version of the MVRV ratio employs statistical techniques to amplify its predictive power, highlighting periods of potential overvaluation or undervaluation. This indicator is used as one of the main feature of the
Drawing from recent STH_SOPR data, this indicator offers insights into the market's short-term holder steadiness. This indicator is used as one of the main feature of the .
This indicator assesses the momentum in the percentage of circulating supply in profit, subtly highlighting trends by applying a transformation on the base metric. This indicator is used as one of the main feature of the .
The BSS Goldilocks Signal is derived from the heuristics of the ML model used to construct the . It activates when the conditions of the Goldilocks zone are met, identifying prime opportunities to enhance the risk-adjusted return on Bitcoin. Conditions of Goldilocks Zone: when is between 52 and 65 and when is below 4%.
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .
The Glassnode Intraday Bitcoin Sharpe enhances the by providing intraday insights into the positioning of the Bitcoin Sharpe signal, thus improving response capabilities for Pro ML package subscribers against market movements.
For more information on its interpretation and methodology see .
For more information on its interpretation and methodology see .