Benjamin Cowen argues that Bitcoin’s on-chain risk indicators are flashing a late-cycle/bear-market-bottom setup. His core claim is that normalized versions of supply-in-profit/loss and related on-chain metrics tend to mark major cycle lows within roughly 1–4 months after crossing, and he says those crossovers have now happened again. He frames the current phase as a third-and-final stage of the bear market, with a bottom most likely in 2026, possibly as soon as October, and says he would move from time-based to price-based capitulation if price action forces that.
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Benjamin Cowen centers this video on Bitcoin’s on-chain risk metrics and uses them as a cycle-timing tool for accumulation and for identifying euphoric tops. His main thesis is straightforward: when Bitcoin’s supply-in-profit/loss measures and other normalized on-chain indicators reach deep-risk lows, those conditions have historically aligned with major market bottoms, often within about 1 to 4 months after the relevant crossovers. He argues those conditions are in place now and says the market looks like it is beginning the process of carving out another low. He spends much of the video showing that the simple supply-in-profit/loss chart can be normalized into a 0-to-1 risk metric, and that the resulting series behaves similarly to the raw version while giving a more useful way to compare prior cycles. …
Tactically, Bitcoin looks closer to a bottoming process than a fresh trend leg, with on-chain risk still in a historically rare low zone. The near-term setup is for continued chop/lower lows unless the composite starts stabilizing.
Over the next few months, the base case is a bear-market digestion phase that resolves into a cycle low before year-end, with October the preferred window. Confirmation would be the risk composite turning up from a durable trough; failure would force a price-led capitulation scenario.
Structurally, the video argues that Bitcoin remains a cyclical asset whose major turns can be tracked through on-chain supply/valuation extremes. If this framework keeps working, the long-run implication is that future cycle tops and bottoms may be increasingly readable through normalized on-chain risk regimes.
Historical crossovers in Bitcoin supply in profit/loss have preceded market-cycle bottoms by about 1 to 4 months.
This is the central historical timing claim supporting the bottom thesis.
Normalized on-chain risk versions of these metrics are useful because they let him compare prior cycle extremes on a 0-to-1 scale.
He explains why the normalized series is a better comparative tool.
Bitcoin’s current on-chain risk reading is around 0.198 and is in a historically rare low zone.
This numeric reading is the immediate evidence for his bottoming setup.
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