Bitcoin bottom countdown nears 50 days after BTC supply in loss hit 50%

Bitcoin bottom countdown is nearing the 50-day mark after BTC supply in loss passed 50% for the first time this bear market in early June. K33 Research reports that once BTC supply in loss clears 50%, the next macro bear-market bottom typically arrives within 101 days. This year, supply in loss crossed 50% on June 5, and about 42 days have elapsed since then—making 2026’s bottom window among the longest on record. CryptoQuant adds a second confirmation: the bull market’s “emotional premium” appears largely unwound. Its realized cap variance (RCV) model—tracking the gap between realized cap and market cap versus historical norms—currently sits in the bottom 6% of its range. With a standardized RCV Z-score around -2.35, the metric suggests Bitcoin is in the late stages of the bear market. Prior periods where RCV stayed below -2.0 (mid-2022, late-2018, early-2015) later produced strong 12‑month returns, including an extreme -4.68 reading in Nov 2018 near the cycle bottom. Traders may treat this Bitcoin bottom countdown as a timing signal rather than a guarantee. If onchain stress continues to compress, short-term dips could fade and positioning may shift toward accumulation; however, historical timelines still vary, so risk management remains key.
Bullish
The article argues that Bitcoin bottom countdown is near its expected timing window based on two on-chain confirmations. First, K33’s “BTC supply in loss >50%” rule historically precedes macro bear-market bottoms within a limited range; reaching 50% on June 5 and only ~42 days passing suggests there may be limited downside left. Second, CryptoQuant’s RCV Z-score (~-2.35) implies the emotional premium from prior rallies is largely compressed, often corresponding to late-bear-market conditions before stronger forward returns. In prior cycles, prolonged periods below key RCV thresholds and the supply-in-loss milestone have tended to be followed by improved 12‑month performance. Short-term, traders may use this as a reason to reduce hedges and look for stabilization/mean reversion around recent lows. Long-term, if these metrics keep converging, it can support a transition from distribution to accumulation. The bullish bias is conditional: timing can stretch (as seen historically), and price can still react to macro/liquidity shocks even if on-chain signals look mature.