Most traders set stop-losses using price levels alone. That works — but on-chain data gives you a sharper edge.

Here is how to think about it:

$BTC has a concept called "realized price" — the average cost basis of all coins in circulation, weighted by when they last moved. When spot price dips below this level, the market is, on aggregate, in loss. Historically, extended time below realized price has marked capitulation zones, not just corrections.

$ETH has a similar metric: the realized price of coins held by short-term holders. When ETH trades below short-term holder cost basis and on-chain fees collapse simultaneously, it signals forced selling exhaustion — not just bearish momentum.

$SOL is smaller but you can watch active address growth. A price drop with no decline in active addresses often means weak hands selling to patient accumulators — a very different risk profile than a drop accompanied by user exodus.

The practical takeaway: before cutting a position, ask two questions. Has price broken a structural on-chain cost basis? And are active users leaving the network?

Price alone is noisy. Price + behavior is signal.

Disciplined risk management is not just about where you exit — it is about understanding *why* the exit level matters.

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