Onchain analysis is a relatively young discipline, with its golden era of innovation beginning in late 2018 when Coin Metrics introduced the Realised Cap. This breakthrough sparked a wave of research as analysts explored novel ways to interpret Bitcoin’s rich onchain data.
Among the first tools investors and analysts gravitate toward are price models—intuitive frameworks that resonate across diverse audiences. Price remains a focal point for any asset, making these models invaluable for traders and long-term investors alike.
This session delves into foundational onchain pricing models, dubbed the Onchain Originals, categorized into three core types:
- Floor Models: Typically intersected during deep bear markets, signaling potential accumulation zones.
- Mean Reversion Models: Represent equilibrium levels around which price oscillates over time.
- Euphoria Models: Highlight overbought conditions where long-term holders may begin profit-taking.
Why These Models Matter
These frameworks approximate zones where investor behavior shifts—not rigid price targets. For instance:
- Floor models reflect exhaustion in selling pressure.
- Mean reversion models indicate cyclical valuation norms.
- Euphoria models capture profit-taking triggers.
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Key Insight: Market tops and bottoms emerge from collective behavioral changes, not mere model intersections.
FAQ Section
Q1: How accurate are onchain price models?
A1: They provide probabilistic guidance, not guarantees. Their value lies in identifying behavioral inflection points.
Q2: Can these models predict exact price highs/lows?
A2: No. They define zones where historical patterns (e.g., holder spending) become likely.
Q3: Which model is most reliable?
A3: Mean reversion models often exhibit strong cyclical consistency, but combining all three yields a fuller picture.
Q4: How do euphoria models differ from technical overbought signals?
A4: They’re rooted in onchain spending patterns (e.g., coin dormancy) rather than momentum metrics like RSI.
Expanding the Framework
While the Onchain Originals offer robust foundations, integrating them with macro trends and liquidity metrics enhances their predictive power. For example:
- Macro Context: Bear markets often align with tightening monetary policies.
- Exchange Flows: Sudden spikes in exchange deposits may corroborate euphoria signals.
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Final Note: These models thrive when viewed as lenses into market psychology, not crystal balls. Their real utility? Helping you spot when the crowd is shifting gears—before the charts catch up.