Bitcoin Time-Channel CyclesYellow = 1064d expansion
Green = 658d mean node
Blue = 364d compression
This chart documents a repeating BTC time-channel structure built from prior cycle highs and lows. The goal here is not to force a price prediction, but to show that Bitcoin has been respecting a consistent rhythm in time and slope across multiple market regimes. When the previous major ATL is used as the anchor, the next macro expansion phase has repeatedly aligned with a ~1064-day duration. That expansion window is displayed as the larger corridor, and it has now shown up cleanly from the 2015 ATL into the 2017 ATH, from the 2018 ATL into the 2021 ATH, and again from the 2022 ATL into the 2025 ATH..
Inside each 1064-day expansion corridor, a secondary time node appears at roughly 658 days, which is the golden-ratio contraction of the full expansion cycle. What’s notable is that price has not been randomly positioned at this midpoint in time. Instead, it has repeatedly migrated back to the mean of the rising channel near the 658 day mark, acting like a structural equilibrium reset within the broader uptrend. This “mean hit” behavior is visible across cycles and is one of the main reasons to watch time geometry alongside price geometry. After the mean-hit, the market has historically rotated into the final leg of the expansion phase before completing the cycle high.
Following each macro high, the bearish compression phase has clustered around ~364 days, shown as the blue corridor. These reset windows are materially shorter than the expansion windows, which matches the observed tendency for bullish advances to build over years while bearish phases compress into faster, more volatile declines. The expansion to compression ratio is close to 3:1, reinforcing the idea that the market “inhales” slowly and “exhales” quickly in time. The important takeaway is that the model is not asking price to obey a specific number; it’s showing how price has behaved inside repeating time-based corridors, with the mean of the channel acting as a magnet around the 658 day node.
This framework is shared as a structural study, not a guarantee. Markets can mutate, and no historical symmetry is permanent. However, when a time-channel sequence repeats cleanly across multiple cycles, it becomes a useful way to frame expectation, especially for identifying where equilibrium touches and regime shifts are statistically more likely to occur. If this rhythm continues to hold, future cycle windows can be mapped the same way, with the emphasis placed on time-based decision zones and mean reactions rather than on any single price target.
