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Chart guide

On-Chain Metrics

PYTH MVRV

Monitor Pyth Network Market Value to Realized Value (MVRV) ratio alongside realized price and Pyth Network price. Statistical bands reveal historical overvaluation and undervaluation zones for market timing.

How to read this chart

Check the selected asset, units, and cohort before comparing readings. Compare the metric over consistent dates and use related measures to understand what contributes to a change.

Interpretation and limitations

Addresses and on-chain cohorts do not identify individual people. Network designs and available histories differ, so a threshold observed on one asset may not transfer to another.

On-chain data and methodology

Explore related charts

PYTH Active MVRV & Active Realized Price
PYTH Active MVRV Norm
PYTH Median MVRV
PYTH MVRV Bands
PYTH MVRV Z-Score

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On-Chain Metrics
PYTH MVRVPRO

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About PYTH MVRV

Monitor Pyth Network Market Value to Realized Value (MVRV) ratio alongside realized price and Pyth Network price. Statistical bands reveal historical overvaluation and undervaluation zones for market timing.

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On-Chain Metrics

PYTH Active MVRV & Active Realized Price

Compare Pyth Network market value to active realized value focusing on recently moved coins. Shows Active Realized Price as dynamic support/resistance with Active MVRV ratio indicating active holder profitability.

On-Chain Metrics

PYTH Active MVRV Norm

Pyth Network on-chain: Active MVRV adjusted for network activity using Cointime Economics principles, then normalized over a multi-cycle rolling window to produce a consistent 0-100% cycle indicator. High readings (above 70%) indicate active supply is extremely overvalued relative to recent history, historically aligning with cycle tops. Low readings (below 8%) indicate active supply is near or below cost basis, historically aligning with cycle bottoms.

On-Chain Metrics

PYTH Median MVRV

Pyth Network on-chain: MVRV using the median cost basis instead of the mean. Resistant to whale skew, below 1 means the majority of supply is underwater, regardless of how large holders are positioned.

On-Chain Metrics

PYTH MVRV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the MVRV (Market Value to Realized Value) ratio to identify extreme market conditions and potential reversal zones based on historical MVRV deviations.

On-Chain Metrics

PYTH MVRV Z-Score

Monitor Pyth Network Market Value to Realized Value (MVRV) ratio with Z-score normalization to identify extreme overvaluation and undervaluation periods, historically marking major market tops and bottoms.

On-Chain Metrics

PYTH Vaultedness - Active MVRV Divergence

Pyth Network on-chain: Compares two Cointime Economics signals - network dormancy (Vaultedness) and activity-weighted valuation (Active MVRV). Both metrics are normalized within a multi-cycle rolling window and their divergence is measured. When active-participant valuation runs hot while dormancy is low, risk is elevated. When dormancy is high and valuations are compressed, accumulation zones emerge.

On-Chain Metrics

PYTH Active MVRV & Active Realized Price

Compare Pyth Network market value to active realized value focusing on recently moved coins. Shows Active Realized Price as dynamic support/resistance with Active MVRV ratio indicating active holder profitability.

On-Chain Metrics

PYTH Active MVRV Norm

Pyth Network on-chain: Active MVRV adjusted for network activity using Cointime Economics principles, then normalized over a multi-cycle rolling window to produce a consistent 0-100% cycle indicator. High readings (above 70%) indicate active supply is extremely overvalued relative to recent history, historically aligning with cycle tops. Low readings (below 8%) indicate active supply is near or below cost basis, historically aligning with cycle bottoms.

On-Chain Metrics

PYTH Median MVRV

Pyth Network on-chain: MVRV using the median cost basis instead of the mean. Resistant to whale skew, below 1 means the majority of supply is underwater, regardless of how large holders are positioned.

On-Chain Metrics

PYTH MVRV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the MVRV (Market Value to Realized Value) ratio to identify extreme market conditions and potential reversal zones based on historical MVRV deviations.

On-Chain Metrics

PYTH MVRV Z-Score

Monitor Pyth Network Market Value to Realized Value (MVRV) ratio with Z-score normalization to identify extreme overvaluation and undervaluation periods, historically marking major market tops and bottoms.

On-Chain Metrics

PYTH Vaultedness - Active MVRV Divergence

Pyth Network on-chain: Compares two Cointime Economics signals - network dormancy (Vaultedness) and activity-weighted valuation (Active MVRV). Both metrics are normalized within a multi-cycle rolling window and their divergence is measured. When active-participant valuation runs hot while dormancy is low, risk is elevated. When dormancy is high and valuations are compressed, accumulation zones emerge.

On-Chain Metrics

PYTH Active MVRV & Active Realized Price

Compare Pyth Network market value to active realized value focusing on recently moved coins. Shows Active Realized Price as dynamic support/resistance with Active MVRV ratio indicating active holder profitability.

On-Chain Metrics

PYTH Active MVRV Norm

Pyth Network on-chain: Active MVRV adjusted for network activity using Cointime Economics principles, then normalized over a multi-cycle rolling window to produce a consistent 0-100% cycle indicator. High readings (above 70%) indicate active supply is extremely overvalued relative to recent history, historically aligning with cycle tops. Low readings (below 8%) indicate active supply is near or below cost basis, historically aligning with cycle bottoms.

On-Chain Metrics

PYTH Median MVRV

Pyth Network on-chain: MVRV using the median cost basis instead of the mean. Resistant to whale skew, below 1 means the majority of supply is underwater, regardless of how large holders are positioned.

On-Chain Metrics

PYTH MVRV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the MVRV (Market Value to Realized Value) ratio to identify extreme market conditions and potential reversal zones based on historical MVRV deviations.

On-Chain Metrics

PYTH MVRV Z-Score

Monitor Pyth Network Market Value to Realized Value (MVRV) ratio with Z-score normalization to identify extreme overvaluation and undervaluation periods, historically marking major market tops and bottoms.

On-Chain Metrics

PYTH Vaultedness - Active MVRV Divergence

Pyth Network on-chain: Compares two Cointime Economics signals - network dormancy (Vaultedness) and activity-weighted valuation (Active MVRV). Both metrics are normalized within a multi-cycle rolling window and their divergence is measured. When active-participant valuation runs hot while dormancy is low, risk is elevated. When dormancy is high and valuations are compressed, accumulation zones emerge.

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