CDDStamp
  • CDD Token
  • White Paper
  • Coin Days Destroyed (CDD)
    • Block Based CDD Chart
    • Time Based CDD Chart (Interval : 1h)
  • HeatSense Monitor
  • Block Anomaly Monitor
  • Block Sentinel Monitor
  • Fragmentation Monitor
  • All Exchange Balances Chart (Interval: 1h)
  • All ETFs Balances Chart
  • Exchange In/Out Flow data
  • Estimated Leverage Ratio
  • Unspent Transaction Output UTXO
  • Mempool Monitor
  • Pattern Recognition Algorithms
  • Regression Models (sezAI)
  • X-Ray
    • Distribution by Count
    • Satoshi Dominance
    • Distribution by Balance
  • Bitcoin Dynamic Range
  • LTH Released Price
  • STH Released Price
  • Net Unrealized Profit/Loss (NUPL)
  • MVRV-Z Score
  • Funding Rates
  • Bitcoin Liquidity Ratio
  • Bitcoin Risk Indicator (BRI)
  • Dominance Momentum Oscillator (DMO) Chart
  • Bitcoin Strength Index (BGE)
Powered by GitBook
On this page
  1. Coin Days Destroyed (CDD)

Time Based CDD Chart (Interval : 1h)

PreviousBlock Based CDD ChartNextHeatSense Monitor

Last updated 7 months ago

This chart shows the Coin Days Destroyed (CDD) value and Bitcoin price in an hourly time frame. It is used to analyze short-term movements and investor behavior in the Bitcoin market.

Chart Elements:

  • Bitcoin Price

  • Bollinger Bands (bbbandarea and bbbandline)

  • CDD Value

Bollinger Bands (bbbandarea and bbbandline): The blue bands indicate the price volatility and potential support/resistance levels.

Purpose:

  • Short-Term Investment Strategies: This chart helps investors optimize their buy and sell decisions by analyzing short-term price movements.

  • Understanding Market Volatility: Bollinger Bands are used to determine the current market volatility and possible trend reversals.

  • Tracking Large Bitcoin Movements: The CDD metric helps monitor the movements of long-dormant Bitcoins, providing insights into the behavior of large investors.

This chart helps you make more informed investment decisions by analyzing the short-term dynamics of the Bitcoin market and the movements of large investors.