Cycle analysis is a framework, not a clock
Bitcoin's history is often divided into discrete bull and bear markets. That shorthand is useful, but it can encourage false precision. A cycle does not have to repeat on schedule, and the halving is not a mechanical timer for price. A more robust approach is to compare several dimensions of market structure at once.
obsila focuses on four: long-term valuation position, drawdown, realized volatility and cycle-normalized return. Each describes a different property of the market. Agreement between them is more informative than any one measure in isolation.
1. Long-term valuation position
The logarithmic regression model places Bitcoin's price relative to a slowly evolving long-term trend. Being above or below the model midpoint is descriptive, not predictive. Persistent deviations can nevertheless help distinguish depressed, neutral and extended market conditions.
2. Drawdown from the all-time high
Drawdown measures the percentage decline from the highest price observed up to that date. It provides a common scale for comparing corrections across very different nominal Bitcoin prices. Historically, deep drawdowns have accompanied periods of severe risk repricing, while shallow drawdowns are more typical of strong trends.
3. Volatility
Realized volatility tells us how dispersed recent returns have been. High volatility can occur in both rallies and sell-offs, so it should not be interpreted as direction. Its value is in identifying how unstable the current price process is relative to recent history.
4. Cycle-normalized ROI
Rather than comparing calendar dates, cycle ROI aligns historical periods by days since a selected cycle low. This highlights the pace and magnitude of appreciation across cycles. It also makes diminishing or changing return profiles easier to see.
Putting the pieces together
obsila's Market Risk model combines related concepts into a normalized diagnostic, but the underlying charts remain important. A low risk score does not mean price cannot fall; a high score does not mean a peak is imminent. The score describes how stretched the market appears under the model's assumptions.
What would invalidate the framework?
Structural changes in Bitcoin's adoption, liquidity, market microstructure or macro sensitivity can make historical relationships less useful. Regression bands are fitted to history. Cycle lows are selected retrospectively. Volatility regimes change. For those reasons, the framework should be revised when evidence changes rather than protected as a permanent market law.