Bitcoin: Power Law
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The Bitcoin Power Law Chart is a long-term price model suggesting that Bitcoin’s price follows a power law relationship with time, rather than linear or exponential growth.
The model uses logarithmic regression to estimate a long-term fair value trend, along with upper and lower price bounds.
The Bitcoin Power Law Chart is built using logarithmic regression on Bitcoin’s historical price data. Here’s how it works:
For these reasons, caution is advised with such a model. Investors can consider using additional data to support this chart that includes actual market participant behavior, such as the onchain data shown elsewhere on the platform.
The Bitcoin Power Law is one of several long-term frameworks investors use to assess Bitcoin’s price behaviour over time. Each model approaches valuation from a different perspective, and none should be used in isolation.
The Bitcoin Power Law models Bitcoin’s price as a mathematical function of time, using logarithmic regression to identify a long-term growth trend along with upper and lower bounds. It is best suited for understanding Bitcoin’s structural price trajectory across multiple market cycles rather than short-term price movements.
Stock-to-Flow is a supply-based model that attempts to value Bitcoin based on its scarcity, measured as the ratio of existing supply to new issuance. While influential during earlier market cycles, many investors now view Stock-to-Flow as less reliable following recent deviations from its projected price path. You can explore this approach further on our Bitcoin Stock-to-Flow chart.
Long-term moving averages such as the 200-week moving average focus on historical price smoothing rather than explicit valuation. These indicators are often used to identify long-term support levels and broad trend direction. Many investors compare moving averages alongside models like the Bitcoin Power Law to assess whether price is extended above or below long-run norms.
On-chain models use blockchain data such as realised value, coin age, and investor behaviour to estimate fair value and market extremes. Examples include MVRV-based metrics and cycle indicators. These models are often most effective when combined with longer-term frameworks like the Bitcoin Power Law to provide behavioural context.
For a broader view of long-term Bitcoin price prediction models, see our Bitcoin Price Prediction & Forecast Models page, which brings together multiple on-chain valuation tools in one chart.
In practice, experienced investors tend to use the Bitcoin Power Law as a high-level structural reference, while relying on on-chain data and market indicators for timing and risk management.
Predicting when the Pi Cycle Top Indicator will cross.
Uses color bands overlaid on a log growth curve to highlight market stages.
Ratio of bitcoins in circulation relative to the amount of bitcoins annually mined, and this ratio's relationship with price
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