Bitcoin HODL Waves Explained: A Deep Dive into Market Cycles

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What Are Bitcoin HODL Waves?

HODL Waves visualize the distribution of Bitcoin supply across different age groups using on-chain data. By color-coding Bitcoin segments by their "age" (time since last movement), the chart reveals wave-like patterns that reflect market behavior.

The Y-axis represents 0–100% of Bitcoin's total circulating supply at any given time, standardized to show how holdings shift between short-term and long-term holders.

Key Insights from HODL Waves

  1. Market Participation Trends

    • Spikes in "young" coins (red/orange bands) indicate long-term holders selling to new buyers, often near market tops.
    • Conversely, expanding "cold" colors (blue/green) suggest accumulation phases.
  2. Cyclical Patterns
    Historically, rapid price surges correlate with:

    • Short-term holder dominance (FOMO phase)
    • Subsequent market corrections as "smart money" exits
  3. Sentiment Indicators
    The waves highlight psychological shifts:

    • Greed (red wave expansion) → Potential top
    • Fear (blue wave dominance) → Accumulation opportunity

How HODL Waves Are Calculated

Bitcoin UTXOs (unspent transaction outputs) are grouped by their last movement date:

Age BracketColor Indicator
<24hBright red
1d–1wOrange
1w–1mYellow
1m–3mLight green
3m–6mGreen
6m–1yTeal
1y–2yBlue
2y–3yDark blue
3y–5yPurple
5y–7yLavender
7y–10yGray
10y+Dark gray

👉 Explore real-time HODL Wave data for live market analysis.

Practical Applications

FAQ Section

Q: Who created HODL Waves?
A: Developed by Dhruv Bransal of Unchained Capital.

Q: How accurate are HODL Waves for price prediction?
A: While not a precise timing tool, historical patterns show strong correlation between red wave peaks and macro tops.

Q: What's the difference between HODL Waves and RHODL Ratio?
A: RHODL compares short-term vs. long-term holder capitalization, while HODL Waves track absolute supply distribution.

Q: Where can I learn more?
A: Read the foundational analysis: Bitcoin Data Science: HODL Waves.


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