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Chart guide

On-Chain Metrics

PYTH Reserve Risk

Track Pyth Network price relative to long-term holder conviction to identify extreme opportunity (low risk) and overheated (high risk) market conditions with proven accuracy at major cycle extremes.

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 Reserve Risk Adjusted
PYTH Sell-Side Risk Ratio
PYTH Active MVRV & Active Realized Price
PYTH Active MVRV Norm
PYTH AVIV Bands

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On-Chain Metrics
PYTH Reserve RiskPRO

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About PYTH Reserve Risk

Track Pyth Network price relative to long-term holder conviction to identify extreme opportunity (low risk) and overheated (high risk) market conditions with proven accuracy at major cycle extremes.

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On-Chain Metrics

PYTH Reserve Risk Adjusted

Pyth Network on-chain: Enhanced Reserve Risk normalized by a long-term moving average to correct for structural drift, providing more reliable signals across market cycles with values oscillating around 1.0 for clearer risk assessment.

On-Chain Metrics

PYTH Sell-Side Risk Ratio

Pyth Network on-chain: Quantifies aggregate sell-side pressure by measuring total realized profits and losses relative to realized cap. High values indicate capitulation or distribution, while low values suggest accumulation phases with minimal selling pressure.

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 AVIV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the AVIV (Active Value in Value) ratio to identify extreme market conditions and potential reversal zones based on the relationship between active market cap and cumulative investor capital.

On-Chain Metrics

PYTH AVIV Z-Score

Measure Pyth Network deviation from its active value baseline using statistical normalization. Similar to MVRV Z-Score but focused on active economic value, with color-coded market phases to identify extreme conditions.

On-Chain Metrics

PYTH Reserve Risk Adjusted

Pyth Network on-chain: Enhanced Reserve Risk normalized by a long-term moving average to correct for structural drift, providing more reliable signals across market cycles with values oscillating around 1.0 for clearer risk assessment.

On-Chain Metrics

PYTH Sell-Side Risk Ratio

Pyth Network on-chain: Quantifies aggregate sell-side pressure by measuring total realized profits and losses relative to realized cap. High values indicate capitulation or distribution, while low values suggest accumulation phases with minimal selling pressure.

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 AVIV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the AVIV (Active Value in Value) ratio to identify extreme market conditions and potential reversal zones based on the relationship between active market cap and cumulative investor capital.

On-Chain Metrics

PYTH AVIV Z-Score

Measure Pyth Network deviation from its active value baseline using statistical normalization. Similar to MVRV Z-Score but focused on active economic value, with color-coded market phases to identify extreme conditions.

On-Chain Metrics

PYTH Reserve Risk Adjusted

Pyth Network on-chain: Enhanced Reserve Risk normalized by a long-term moving average to correct for structural drift, providing more reliable signals across market cycles with values oscillating around 1.0 for clearer risk assessment.

On-Chain Metrics

PYTH Sell-Side Risk Ratio

Pyth Network on-chain: Quantifies aggregate sell-side pressure by measuring total realized profits and losses relative to realized cap. High values indicate capitulation or distribution, while low values suggest accumulation phases with minimal selling pressure.

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 AVIV Bands

Visualize Pyth Network price overlaid with statistical bands derived from the AVIV (Active Value in Value) ratio to identify extreme market conditions and potential reversal zones based on the relationship between active market cap and cumulative investor capital.

On-Chain Metrics

PYTH AVIV Z-Score

Measure Pyth Network deviation from its active value baseline using statistical normalization. Similar to MVRV Z-Score but focused on active economic value, with color-coded market phases to identify extreme conditions.

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