> 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/supply-last-active-1d-1w.md).

# Supply Last Active 1d-1w

## Supply Last Active 1d-1w Indicator

The Supply Last Active 1d-1w indicator measures the amount or percentage of circulating supply that has been active (moved or transacted) within the past one day to one week. This metric provides insights into short-term holder behavior, network activity, and market sentiment.

## Steps to Use the Supply Last Active 1d-1w Indicator

1\. Understand the Concept:

* Recently Active Supply: Represents the portion of the circulating supply that was active between one day and one week ago.
* Relevance: Highlights short-term activity trends, reflecting the behavior of active traders and network participants.

2\. Interpret the Supply Last Active 1d-1w Indicator:

* High Percentage: Indicates increased short-term activity, often correlating with heightened trading, speculation, or market events.
* Low Percentage: Suggests reduced activity in this timeframe, which may indicate consolidation or reduced engagement.
* Trends Over Time: Analyze shifts in this metric to understand changes in short-term market dynamics.

3\. Analyze Historical Patterns:

* Bull Markets: Activity in the 1d-1w range often increases during bullish trends as traders respond to price movements.
* Bear Markets: Reduced activity levels are common during downtrends as participants disengage or hold.
* Event-Driven Spikes: Significant increases often align with major announcements, upgrades, or market volatility.

4\. Make Decisions:

* During High Activity Periods: Monitor for potential volatility or significant price movements driven by short-term participation.
* During Low Activity Periods: Evaluate the potential for market stabilization or consolidation.
* Validate Market Sentiment: Use this metric to confirm broader sentiment trends and trading behavior.

## Tips:

* Combine with Volume Data: Pair this indicator with trading volume to assess the relationship between activity levels and market movements.
* Monitor Spikes: Sudden increases in activity may signal upcoming price volatility or market events.
* Use Historical Comparisons: Compare current activity levels with past data to identify recurring patterns and cycles.
* Contextualize with External Events: Account for news, upgrades, or macroeconomic factors influencing short-term activity.

## How to Use the Indicator Effectively

* Gauge Short-Term Engagement: Use high activity levels to confirm strong participation and network usage.
* Identify Volatility Trends: Monitor spikes in activity to anticipate potential price movements and volatility.
* Support Trading Strategies: Incorporate insights from this metric into short-term trading plans and risk assessments.

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