Financial nerds love to give tools weird names to make them look like fortune-tellers. Some actually are predictive—like grandma’s dreams!🌙 I’m Skeptic from Skeptic Lab, and today we’re talking about MVRV.. First off, it can’t predict the future, but it tells you four key things:🔮
What is MVRV?🔍
Imagine you have a box of chocolates. You want to know how many you have and what they’d be worth if everyone decided to buy or sell.
MVRV is a number that shows: “How the current value of everyone’s chocolates compares to the price they originally paid.”
In short: MVRV is like a green/red light for buying and selling chocolates 🍫🚦.
The Formula➗
Why Z-Score?✨
MVRV alone sometimes misleads:
One week after MVRV was introduced, David Puell and Murad Mahmudov created the MVRV Z-Score. It standardizes MVRV against historical mean and volatility, showing if current levels are truly abnormal.
Z > 7 → speculative top
Z < 0 → deep undervaluation, potential bottom
Applications🎯
Spotting Tops & Bottoms:
Z-Score filters extremes
Market Sentiment:
Trading Moves:
Long-term: buy <1, hold
Medium-term: sell >3.7, buy <1
Timebound MVRV (365d, 60d) shows short vs long-term holder pressure
Risk Management:
Limitations🌡️
Conclusion📍
Boost for more Skeptic takes :) 📈
Disclaimer: This article was written for educational purposes only and should not be taken as investment advice.
- Identifying market tops and bottoms
- Assessing market sentiment
- Trading strategies
- Risk management
What is MVRV?🔍
Imagine you have a box of chocolates. You want to know how many you have and what they’d be worth if everyone decided to buy or sell.
MVRV is a number that shows: “How the current value of everyone’s chocolates compares to the price they originally paid.”
- High MVRV → people are selling chocolates for much more than they paid → expensive market.
- Low MVRV → people are selling for less than they paid → cheap market, potential buy zone.
In short: MVRV is like a green/red light for buying and selling chocolates 🍫🚦.
The Formula➗
- Market Value (MV): total value of all coins at current market price.
- Realized Value (RV): total value based on last on-chain transaction price — a "truer" cost basis, filtering out short-term volatility.
Why Z-Score?✨
MVRV alone sometimes misleads:
- In bull markets, it can stay high for weeks → fake sell signals.
- Low MVRV can just be short-term noise.
One week after MVRV was introduced, David Puell and Murad Mahmudov created the MVRV Z-Score. It standardizes MVRV against historical mean and volatility, showing if current levels are truly abnormal.
Z > 7 → speculative top
Z < 0 → deep undervaluation, potential bottom
Applications🎯
Spotting Tops & Bottoms:
- High MVRV (>3.5) = late bull top
- Low MVRV (<1) = bear bottom, strong buy
Z-Score filters extremes
Market Sentiment:
- High = greed, low = fear → emotional barometer
Trading Moves:
Long-term: buy <1, hold
Medium-term: sell >3.7, buy <1
Timebound MVRV (365d, 60d) shows short vs long-term holder pressure
Risk Management:
- Identifying potential profit zones
- Checks if BTC is overpriced/undervalued vs RV
- Works best combined with SOPR, NVT, macro factors
Limitations🌡️
- Sensitive to volatility
- Assumes on-chain movements = sales (not always)
- Blind to shocks (regulations, macro events)
- Overvaluation can persist → mistimed sell signals
- Needs historical data → weak for new coins
- Not standalone → combine with other metrics
Conclusion📍
- MVRV compares Market Value to Realized Value → shows over- or undervaluation
- Identifies market tops and bottoms
- Z-Score filters noise, highlights abnormal levels
- Historically effective in Bitcoin cycles
- Best used with other metrics for holistic analysis
Boost for more Skeptic takes :) 📈
Disclaimer: This article was written for educational purposes only and should not be taken as investment advice.
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Pubblicazioni correlate
Declinazione di responsabilità
Le informazioni e le pubblicazioni non sono intese come, e non costituiscono, consulenza o raccomandazioni finanziarie, di investimento, di trading o di altro tipo fornite o approvate da TradingView. Per ulteriori informazioni, consultare i Termini di utilizzo.