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The Bitcoin Rainbow Chart is a logarithmic regression tool used to visualize BTC price cycles. See how it tracks market sentiment and historical accuracy.
The Bitcoin Rainbow Chart is a logarithmic regression model that maps Bitcoin’s price history against nine color-coded sentiment bands to identify potential market cycle extremes [1, 2]. While widely used as a visual tool for long-term cycle positioning, the model is not a predictive financial instrument and has required periodic recalibrations to remain relevant as Bitcoin’s growth rate shifts [1, 2].
| At a glance | |
|---|---|
| Model Type | Logarithmic Regression |
| Primary Use | Long-term cycle positioning |
| Sentiment Bands | 9 zones (from "Fire Sale" to "Maximum Bubble") |
| Historical Fit | 94.3% R² strength (Dynamic version) [1] |
The Rainbow Chart originated in 2014 when a Reddit user known as 'azop' began posting images of Bitcoin’s price on a logarithmic scale to help maintain community morale during a brutal bear market [1]. The original charts used a straight-line trend, which eventually failed as Bitcoin’s exponential growth could not be sustained indefinitely [1]. In 2019, a live version was launched using a logarithmic regression formula—originally attributed to a Bitcointalk user named 'trolololo'—which allows the trend line to flatten over time [1].
The model categorizes market sentiment into nine distinct zones [2]. The deepest blue bands represent "Fire Sale" or accumulation zones, while the brightest red bands indicate "Maximum Bubble" or distribution territory [2]. Because the chart uses a logarithmic Y-axis, it accounts for the fact that Bitcoin has moved across more than five orders of magnitude since 2010, preventing early price cycles from appearing as flat lines [2].
The chart has historically flagged major cycle turning points, though its precision varies [2]. For instance, it tagged the "Sell!" zone at the exact peak of the 2017 bull run and identified the 2018 bottom within the "BUY" band [2]. However, the model is not infallible; it failed to reach the "Maximum Bubble" band during the 2021 peak, which some analysts interpreted as an early signal of cycle compression [2].
The model faced a significant challenge in 2022 when the Bitcoin price dropped below the established bands during the FTX collapse, forcing a recalibration of the formula [1, 2]. The creator of the live version noted that the chart was never intended to be a serious price prediction tool, but rather a "fun" visualization of historical trends [1]. The current "Dynamic" version of the chart now incorporates a 94.3% R² fit strength to better account for the entirety of Bitcoin’s price history since 2012 [1].
Whether the Rainbow Chart remains a relevant tool depends on its ability to adapt to a maturing market that no longer follows the aggressive exponential growth patterns of its first decade. The central question remains whether the model can continue to provide meaningful context as Bitcoin’s adoption and market structure evolve beyond the data points used in its original design.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Aug 21, 2026 · How we report
It is a mathematical ratio calculated by dividing the total existing supply of an asset (stock) by the amount of new supply produced annually (flow).
Halving events reduce the block reward for miners by 50%, which lowers the annual flow of new Bitcoin and increases the S2F ratio, theoretically signaling higher scarcity.
While it was influential in earlier cycles, its predictive accuracy has weakened as Bitcoin's price has frequently deviated from the model's projections, leading many to use it as a historical reference instead.
The model is applied because Bitcoin has a limited, code-defined supply schedule, making it comparable to scarce physical commodities like gold.