Investorness & Producerness - Bitcoin On-Chain Data Analysis

Decompose Bitcoin realized cap into speculation (Investorness) and mining (Producerness) components. Shows whether the market is driven by trading activity or mining fundamentals, with regime shifts indicating important market transitions.

About Investorness & Producerness Indicator

This on-chain metrics chart provides professional-grade analysis for Bitcoin and cryptocurrency markets. The investorness & producerness 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 Investorness & Producerness

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 Investorness & Producerness 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 investorness & producerness, we can understand holder behavior, network usage, and market sentiment to identify potential trend changes and investment opportunities in the cryptocurrency market.

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Investorness & Producerness

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About Investorness & Producerness

Decompose Bitcoin realized cap into speculation (Investorness) and mining (Producerness) components. Shows whether the market is driven by trading activity or mining fundamentals, with regime shifts indicating important market transitions.

Related Analytics

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Market Realized P/L Ratio - The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

On-Chain Metrics

Market Realized P/L Ratio

The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

LTH Maturation vs Distribution - Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

On-Chain Metrics

LTH Maturation vs Distribution

Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

Days Since Percentage Decline - Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

Crypto Analysis

Days Since Percentage Decline

Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

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.

Puell Multiple - Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

On-Chain Metrics

Puell Multiple

Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

Market Realized P/L Ratio - The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

On-Chain Metrics

Market Realized P/L Ratio

The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

LTH Maturation vs Distribution - Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

On-Chain Metrics

LTH Maturation vs Distribution

Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

Days Since Percentage Decline - Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

Crypto Analysis

Days Since Percentage Decline

Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

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.

Puell Multiple - Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

On-Chain Metrics

Puell Multiple

Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

Market Realized P/L Ratio - The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

On-Chain Metrics

Market Realized P/L Ratio

The Market Realized P/L Ratio measures the ratio between total realized profits and losses across the entire Bitcoin market (all age cohorts). Provides a comprehensive view of market-wide sentiment, profit/loss dynamics, and overall market health without cohort bias.

LTH Maturation vs Distribution - Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

On-Chain Metrics

LTH Maturation vs Distribution

Separates LTH Net Position Change into two distinct forces: Maturation Rate (coins aging into LTH status from 155 days ago) and Distribution Rate (current LTH selling). Shows the ratio to identify when maturation outpaces distribution, addressing the temporal lag issue in traditional LTH analysis.

Days Since Percentage Decline - Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

Crypto Analysis

Days Since Percentage Decline

Tracks the number of days since Bitcoin experienced a specific percentage decline from its current price, showing recovery patterns and correction frequency.

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.

Puell Multiple - Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

On-Chain Metrics

Puell Multiple

Monitor Bitcoin miner profitability and market cycles through the Puell Multiple. This indicator compares daily mining revenue to its 365-day moving average, helping identify market tops and bottoms based on mining economics.

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