> For the complete documentation index, see [llms.txt](https://docs.blockhorizon.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.blockhorizon.io/chart-tutorials/supply/revived-supply-1+-years.md).

# Revived Supply 1+ Years

## Revived Supply 1+ Years Indicator 

The Revived Supply 1+ Years is an on-chain metric that measures the total amount that has been dormant for at least one year and has recently moved. It provides insights into the behavior of long-term holders, market sentiment, and potential distribution or accumulation phases. This metric is particularly useful for identifying significant market events and shifts in holder behavior.

## Steps to Use the Revived Supply 1+ Years Metric 

1\. Understand the Concept 

• Revived Supply 1+ Years: Represents the volume of cryptocurrency that has been inactive for at least one year but has moved within a given timeframe, such as daily or weekly. 

• Relevance: Highlights the activity of long-term holders, providing insights into their behavior, whether they are realizing profits, distributing holdings, or re-engaging with the market. 

2\. Interpret the Revived Supply 1+ Years Metric 

• Increasing Revived Supply: Indicates significant movement by long-term holders, often signaling profit-taking, fear, or strategic distribution. 

• Declining Revived Supply: Suggests reduced activity from long-term holders, often reflecting confidence, accumulation, or a lack of market-triggering events. 

• Stable Revived Supply: Reflects consistent behavior among long-term holders, often observed during periods of market equilibrium. 

3\. Analyze Historical Patterns 

• Bull Markets: Spikes in revived supply often occur during price rallies, as long-term holders take profits or respond to increased liquidity. 

• Bear Markets: Revived supply increases during capitulation phases, as long-term holders exit their positions. 

• Accumulation Phases: Low levels of revived supply during market downturns suggest long-term holders are confident and accumulating. 

4\. Make Decisions 

• During Bull Markets: Monitor spikes in revived supply for signs of profit-taking by long-term holders, which may indicate resistance levels or potential market peaks. 

• During Bear Markets: Use increases in revived supply to assess capitulation phases, which often align with market bottoms and accumulation opportunities. 

• During Stable Markets: Observe stable or low revived supply to gauge confidence and long-term holder engagement.

## Tips:

* Combine with Other Metrics: Use Revived Supply 1+ Years alongside metrics like Realized Cap, LTH Supply in Profit to gain a comprehensive understanding of long-term holder activity.
* Identify Distribution Phases: High revived supply during bull markets signals distribution by long-term holders, often preceding corrections or consolidation phases.
* Compare Historical Trends: Analyze revived supply trends across previous market cycles to identify recurring behaviors and align strategies with historical data.
* Assess Holder Sentiment: Rising revived supply reflects increased activity by long-term holders, signaling shifts in sentiment or responses to market conditions.
* Monitor Key Market Events: Significant spikes in revived supply often align with major market events, such as halving cycles, regulatory changes, or sharp price movements.

## How to Use the Indicator Effectively 

• During Market Rallies: High revived supply values reflect profit-taking or distribution by long-term holders, signaling potential resistance levels or overextension. 

• During Market Corrections: Rising revived supply during downturns indicates capitulation phases, often aligning with market bottoms and long-term buying opportunities. 

• During Consolidation Phases: Low revived supply reflects confidence and reduced activity by long-term holders, supporting stable market conditions and accumulation phases.

## Created By: This indicator is a widely recognized tool in blockchain analytics.