If Bitcoin (BTC) Supply-in-Profit RSI Crosses the Threshold, Glassnode Caps Loss at 20%

Glassnode's 20% Drawdown Ceiling

For the rule to work the way Glassnode describes it, one condition has to hold first: the 30-day RSI of Bitcoin's share of supply in profit must cross a threshold the firm has chosen not to publish. Only above that line does the model open a long position; below it, the strategy stays in cash. The backtest behind these numbers appeared on October 27, 2026, when the on-chain analytics firm released results from its Alpha Lab platform for Bitcoin (BTC). The signal does not read the Bitcoin (BTC) price directly. It applies the RSI to a blockchain gauge that estimates how much of the circulating supply is held by entities that bought below the current market level, a group that runs from small wallets to each crypto whale. Because that measure tracks unrealized profit across holders, the model reacts to shifts in investor profitability rather than to chart patterns. A high share of supply in profit alone says nothing certain about direction: markets have climbed while most holders were in profit and fallen from the same condition. Glassnode ran the comparison over the period after July 2023, a window that also contains the most recent Bitcoin halving. Across that span, the strategy's maximum drawdown, the deepest peak-to-trough decline recorded during the test, came to 20%. Investors who held continuously, the pure HODL approach, absorbed a maximum decline of 53% over the same window. The two figures rest on the same market history and the same assumptions, which is what makes the comparison meaningful. They do not say the strategy makes 20% losses impossible in live trading. They say that, in this backtest, timing entries off holder profitability cut the worst sustained loss to well under half of what an investor who never sold endured.

79 Trades, Four Days Each

The performance table fills in the rest of the picture. The strategy completed 79 trades across the test, held the average position for four days, and was active for roughly 44% of the period, while continuous holding sits in the market 100% of the time by definition. Its successful-trade ratio came to 63%. Its Sharpe ratio, a measure that sets a strategy's returns against the risk taken to earn them, reached 1.53 against 0.92 for holding through the full window. Annualized returns favored the model as well: 52% against 38%. Spending less than half the time in the market is the mechanism behind the narrower drawdown: the model simply was not positioned during the stretches that produced holding's deepest losses, and the four-day average hold means it captured short bursts rather than riding the full trend.

The 20% and 53% readings describe peak-to-trough declines, not total losses, and the returns shown are model outputs from historical testing rather than realized investor gains. One gap remains: the published material does not state the numerical RSI threshold, so the full set of trading conditions cannot be reconstructed from the disclosure alone. Fees, slippage and the properties of the underlying data set can all change how a rule like this performs once it leaves the backtest, and parameters that look strong in one stretch of history can lose that edge in the next.

Risk Control, Not a Buy Signal

The result matters more as a study in risk control than as a trading plan. What carried the performance was the time out of the market, not the entries alone: a model positioned 44% of the time escaped the stretches that drove holding's 53% peak-to-trough loss. That framing fits the tape our recent coverage tracked, from Bitcoin's slide to a five-week low to the net exchange outflow of $1.01 billion recorded on October 27, and readers can weigh the model's assumptions against the levels in our Bitcoin technical analysis and the wider tape on our Bitcoin (BTC) tag. The condition furthest from being met is verification: the RSI trigger is unpublished, no outside desk can reproduce the entries, and until Glassnode prints the threshold or the model holds up across a different cycle, the 20% ceiling stays exactly what it is, a backtest result.