LTH Unrealized Profit Ratio - Bitcoin On-Chain Data Analysis

Measures unrealized profits held by Long-Term Holders (155+ days) as a proportion of Bitcoin's market cap. High values (>55%) indicate LTH sitting on massive profits with elevated distribution risk, historically predicting major market tops in 2013, 2017, and 2021. Negative values signal accumulation phases where LTH holders are underwater.

About LTH Unrealized Profit Ratio Indicator

This on-chain metrics chart provides professional-grade analysis for Bitcoin and cryptocurrency markets. The lth unrealized profit ratio 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 LTH Unrealized Profit Ratio

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

How to Use LTH Unrealized Profit Ratio 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 lth unrealized profit ratio, we can understand holder behavior, network usage, and market sentiment to identify potential trend changes and investment opportunities in the cryptocurrency market.

LTH Unrealized Profit Ratio - Bitcoin On-Chain Indicator | ChartInspect | ChartInspect

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Cryptocurrency

OG Whale Spending Events

Cumulative LTH Realized Profit [Bull Market]

LTH Unrealized Profit Ratio

STH vs LTH Supply

Cohort Supply P/L

Hodler Net Position Change

LTH Wealth Concentration

STH Wealth Concentration

STH Net Position Change

LTH Net Position Change

Realized P&L By Age

Revived Supply By Age

Supply Last Active 1yr+ Net Position Change

Apparent Demand

LTH Maturation vs Distribution

Forward-Looking LTH Accumulation

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About LTH Unrealized Profit Ratio

Measures unrealized profits held by Long-Term Holders (155+ days) as a proportion of Bitcoin's market cap. High values (>55%) indicate LTH sitting on massive profits with elevated distribution risk, historically predicting major market tops in 2013, 2017, and 2021. Negative values signal accumulation phases where LTH holders are underwater.

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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.

Annualized Volatility - Measure cryptocurrency price volatility using a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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.

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Measure cryptocurrency price volatility using a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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.

Total ETF Holdings - Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

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Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

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Track Death Cross events (50D MA crossing below 200D MA) and analyze historical price impacts

Economic Indicators vs Crypto Correlation - Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

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Economic Indicators vs Crypto Correlation

Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

URPD by Age Cohort - Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

On-Chain Metrics

URPD by Age Cohort

Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

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.

On-Chain Metrics

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.

Annualized Volatility - Measure cryptocurrency price volatility using a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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 a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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.

Total ETF Holdings - Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

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Total ETF Holdings

Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

Death Cross Analysis - Track Death Cross events (50D MA crossing below 200D MA) and analyze historical price impacts

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Death Cross Analysis

Track Death Cross events (50D MA crossing below 200D MA) and analyze historical price impacts

Economic Indicators vs Crypto Correlation - Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

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Economic Indicators vs Crypto Correlation

Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

URPD by Age Cohort - Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

On-Chain Metrics

URPD by Age Cohort

Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

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.

On-Chain Metrics

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.

Annualized Volatility - Measure cryptocurrency price volatility using a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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 a rolling window of daily returns, annualized to show year-equivalent risk levels. Calculated using the standard deviation of daily returns, annualized to provide a yearly volatility estimate. 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.

Total ETF Holdings - Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

On-Chain Metrics

Total ETF Holdings

Monitor the total Bitcoin held by all Bitcoin Exchange-Traded Funds globally. Track institutional adoption and regulated investment vehicle exposure.

Death Cross Analysis - Track Death Cross events (50D MA crossing below 200D MA) and analyze historical price impacts

Crypto Analysis

Death Cross Analysis

Track Death Cross events (50D MA crossing below 200D MA) and analyze historical price impacts

Economic Indicators vs Crypto Correlation - Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

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Economic Indicators vs Crypto Correlation

Analyze the rolling correlation between various economic indicators (DXY, Fed Funds, Treasury yields, Real Rates, Yield Curve) and cryptocurrency prices. Select from multiple indicators to track monetary policy impact and identify regime shifts driven by economic changes.

URPD by Age Cohort - Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

On-Chain Metrics

URPD by Age Cohort

Segments the UTXO Realized Price Distribution by holder age cohorts (from <1 day to >10 years), revealing which types of holders own Bitcoin at different price levels. Combines price distribution analysis with holder age dynamics to identify accumulation patterns and conviction levels across market participants.

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