{"path":"/signals/btc_sharpe_signal","tier":3,"parameters":{"a":["BTC"],"c":["native"],"f":["csv","json"],"i":["24h"]},"queried":{"a":"BTC","path":"/v1/metrics/signals/btc_sharpe_signal"},"refs":{"docs":"https://docs.glassnode.com/basic-api/endpoints/signals#get-v1-metrics-signals-btc_sharpe_signal","studio":"https://studio.glassnode.com/charts/signals.BtcSharpeSignal","metric_variant":{"bulk":"/signals/btc_sharpe_signal/bulk","pit":"/signals/btc_sharpe_signal_pit"}},"bulk_supported":true,"timerange":{"min":1325376000,"max":1794355200},"modified":1794499800,"descriptors":{"name":"Bitcoin Sharpe Signal","short_name":"Bitcoin Sharpe Signal","group":"Bitcoin Sharpe Signal","tags":["indicators","signals"],"description":{"default":"**Definition.** Bitcoin Sharpe Signal is a machine-learning long-entry signal for BTC, trained on on-chain data with the design goal of minimizing downside risk while capturing rising trends and enhancing risk-adjusted returns.\n\n**Technical.** The model output is a confidence score rendered as a color ramp, with green indicating the highest confidence and orange through red indicating reduced confidence. The signal is refreshed daily at 04:00 UTC, finalizing the previous day's timestamp. The standard version carries a one-day lag. Disclosed foundational inputs include Percent of Entities in Profit and Short Term Holder SOPR.\n\n**Interpretation.** Readings above 0.5 have historically been associated with improved risk-adjusted Bitcoin performance.\n\n**Notes.** For interpretation and methodology, see the [signal dashboard](https://studio.glassnode.com/dashboards/3d214767-ef64-4443-7855-c06aee5a7a70). Enterprise clients interested in same-day data or the underlying methodology can contact the [Institutional team](https://get.glassnode.com/bitcoin-sharpe-signal-showcase/).\n"},"data_sharing_group":"signals"}}