Charts point to possible bitcoin bottom in about 125 days
Chart-based models estimate bitcoin could reach a market bottom in roughly 125 days, using timing studies, moving averages, volume and on-chain data across spot and derivatives markets.
Chart-focused analysts estimate bitcoin may reach a market bottom in roughly 125 days, based on a suite of time-based technical studies and price-pattern analysis across spot and derivatives venues. The estimate is a midpoint from several timing models that measure typical bear-cycle length and where support and momentum indicators converge.
The models combine historical cycle timing with moving-average behavior, trading-volume profiles and on-chain metrics. Analysts measure the time since the last local peak, the slope and separation of major moving averages, and where volume and open interest compress into ranges that have aligned with past lows.
Derivatives-market signals are part of the assessment. Futures funding rates, options skew and exchange inflows are monitored to gauge whether leveraged positions are reducing or increasing selling pressure. Current readings across those markets, when layered with multi-timeframe chart patterns, produce a clustered window of about four months from now for a possible low.
Views among technicians differ. Some identify indicators that could point to earlier stabilization if exchange outflows increase and realized volatility declines. Others note the models allow for additional downside if a macro shock occurs or if rapid liquidations from leveraged traders intensify.
On-chain data factored into the timing includes realized price, long-term holder activity and miner sales. Periods in prior cycles when long-term holders reduced spending or miners sold less inventory have coincided with price floors; chartists overlay those signals with multi-year moving averages and time-based tools to refine timing.
Analysts emphasize the projection is model-driven and not a definitive signal. Changes in macroeconomic conditions, regulatory developments or large liquidity moves could shift the trajectory. The timing models are presented as a reference point for traders and institutional desks watching for lower volatility, stabilizing volume and improved funding-rate dynamics before a potential floor appears.








