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.

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.

Interpretation. Readings above 0.5 have historically been associated with improved risk-adjusted Bitcoin performance.

Notes. For interpretation and methodology, see the signal dashboard. Enterprise clients interested in same-day data or the underlying methodology can contact the Institutional team.

This is the Point-in-Time (PiT) variant of Bitcoin Sharpe Signal. PiT metrics are strictly append-only and their history is immutable. The historic data does not necessarily reflect the best current knowledge, but the information at the time when a data point was first computed. PiT metrics are ideal candidates for applications in model backtesting and related quantitative purposes. Read our article on PiT metrics for more information.