The Average Bitcoin Holding Period: What On-Chain Data Shows
Because every Bitcoin transaction is recorded on a public, permanent ledger, researchers can analyze exactly how long coins sit unmoved in a given wallet before being transferred โ a metric commonly used to distinguish short-term speculators from long-term holders.
The long-term holder threshold
On-chain analytics firms commonly classify any coin that hasn't moved in 155 days or more as belonging to a "long-term holder" (LTH), a threshold originally derived from historical data showing that coins held past this point were statistically far less likely to be sold in the near term. Coins held for less than 155 days are classified as belonging to "short-term holders" (STH).
| Metric | What It Reflects |
|---|---|
| Long-term holder (LTH) supply | Coins held 155+ days; currently near record highs around 15.8 million BTC |
| Short-term holder (STH) supply | Coins held under 155 days; has fallen from roughly 6.4 million to around 4.2 million BTC in recent data |
| HODL waves | A chart breaking down the % of total supply by how long it's been held, from under 1 month to 10+ years |
What rising long-term holder supply actually signals
It's tempting to read a rising LTH supply as simple bullish conviction โ more people holding rather than selling. But analysts caution this isn't always the case: LTH supply also rises mechanically whenever new buyer demand is too weak to pull existing coins out of long-term wallets, meaning a rising LTH figure can reflect stagnant demand just as easily as strong conviction.
Why this data matters for understanding market cycles
Historically, periods with the highest share of long-term holder supply relative to total circulating supply have coincided with market bottoms โ the logic being that by the time most remaining sellers have already sold, there's simply less remaining sell pressure to push prices lower. This isn't a precise timing tool, but it's one of several on-chain signals analysts weigh together.
Long-term/short-term holder classification methodology and figures per CryptoQuant on-chain research conventions.