Liveliness - Bitcoin On-Chain Data Analysis

Measure Bitcoin network liveliness - the ratio of coinblocks destroyed to created. Values near 1.0 indicate maximum activity, while low values suggest accumulation phases. High liveliness often correlates with market tops.

About Liveliness Indicator

This on-chain metrics chart provides professional-grade analysis for Bitcoin and cryptocurrency markets. The liveliness indicator is part of ChartInspect's comprehensive suite of blockchain analytics tools, designed to help traders and investors make informed decisions based on on-chain blockchain data.

Key Features of Liveliness

Real-time on-chain metrics data visualization
Historical Bitcoin and cryptocurrency market analysis
Interactive charting with zoom and timeframe selection
Mobile-responsive design for trading on the go

How to Use Liveliness for Bitcoin Trading

Navigate through different timeframes to analyze economic trends. Use the interactive features to zoom into specific periods and identify key on-chain signalsthat can inform your financial investment strategy.

Bitcoin On-Chain Data Analysis

Bitcoin on-chain data analysis provides unique insights into market dynamics that traditional technical analysis cannot offer. By examining blockchain data with the liveliness, we can understand holder behavior, network usage, and market sentiment to identify potential trend changes and investment opportunities in the cryptocurrency market.

Chart Inspect

Analytics Platform

Exhibits

Cryptocurrency

CDD (Coin Days Dest.)

ACDD (Adjusted CDD)

Daily UTXOs Spent

Daily UTXOs Created

Transaction Fees

Mining Difficulty

Coinblocks Created

Coinblocks Destroyed

A2VR - Activity to Vaulted Ratio

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Stocks

Economics

Charts
On-Chain Metrics
Liveliness

Smoothing

About Liveliness

Measure Bitcoin network liveliness - the ratio of coinblocks destroyed to created. Values near 1.0 indicate maximum activity, while low values suggest accumulation phases. High liveliness often correlates with market tops.

Related Analytics

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Coinblocks Destroyed - Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

On-Chain Metrics

Coinblocks Destroyed

Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

Market vs Labor Stress - Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Market vs Labor Stress

Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Annualized Volatility - Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Crypto Analysis

Annualized Volatility

Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Monthly Returns Table - View Bitcoin's historical monthly returns in a comprehensive table format

Crypto Analysis

Monthly Returns Table

View Bitcoin's historical monthly returns in a comprehensive table format

Realized P&L Deviation Momentum - Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

On-Chain Metrics

Realized P&L Deviation Momentum

Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

LTH in Profit - Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

On-Chain Metrics

LTH in Profit

Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

Coinblocks Destroyed - Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

On-Chain Metrics

Coinblocks Destroyed

Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

Market vs Labor Stress - Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Market vs Labor Stress

Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Annualized Volatility - Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Crypto Analysis

Annualized Volatility

Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Monthly Returns Table - View Bitcoin's historical monthly returns in a comprehensive table format

Crypto Analysis

Monthly Returns Table

View Bitcoin's historical monthly returns in a comprehensive table format

Realized P&L Deviation Momentum - Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

On-Chain Metrics

Realized P&L Deviation Momentum

Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

LTH in Profit - Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

On-Chain Metrics

LTH in Profit

Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

Coinblocks Destroyed - Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

On-Chain Metrics

Coinblocks Destroyed

Monitor coinblocks destroyed when Bitcoin is spent after dormancy periods. Spikes indicate long-term holders are selling or moving Bitcoin, often correlating with market volatility and significant price movements.

Market vs Labor Stress - Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Market vs Labor Stress

Compares financial market stress to labor market health. High values warn that markets see trouble before job losses appear - an early recession signal.

Annualized Volatility - Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Crypto Analysis

Annualized Volatility

Measure cryptocurrency price volatility using logarithmic returns over a rolling 30-day window, annualized to show year-equivalent risk levels. Calculated as the standard deviation of daily log returns multiplied by √365. High volatility (>60%) indicates extreme price swings often seen at market tops/bottoms, medium volatility (30-60%) represents normal conditions, while low volatility (<30%) suggests consolidation that often precedes major moves. Use this to assess market risk, identify regime changes, and anticipate breakouts from low-volatility periods.

Monthly Returns Table - View Bitcoin's historical monthly returns in a comprehensive table format

Crypto Analysis

Monthly Returns Table

View Bitcoin's historical monthly returns in a comprehensive table format

Realized P&L Deviation Momentum - Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

On-Chain Metrics

Realized P&L Deviation Momentum

Track momentum shifts in realized profit deviation by comparing current RPD against its moving average to identify intensifying profit-taking or capitulation phases with USD/BTC denomination support

LTH in Profit - Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

On-Chain Metrics

LTH in Profit

Track market cycle phases through the percentage of Long-Term Holder supply currently in profit. Readings >90% historically mark cycle peaks, while <50% indicate bear market accumulation phases and potential cycle bottoms

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