
The Bitcoin Stock-to-Flow (S2F) model, developed by PlanB, has emerged as one of the most discussed price prediction frameworks in cryptocurrency trading since its introduction in 2019. This analytical tool attempts to forecast Bitcoin's future value by examining the relationship between its circulating supply and production rate, drawing parallels with traditional commodity valuation methods used for precious metals like gold and silver.
The Bitcoin Stock-to-Flow model is a quantitative forecasting tool developed by pseudonymous analyst PlanB that predicts BTC's future value based on its supply dynamics. The model consists of two key components: "stock" refers to the total amount of Bitcoin currently in circulation, while "flow" represents the estimated production rate over a specific timeframe. PlanB introduced this methodology in a 2019 Medium article titled "Modeling Bitcoin Value with Scarcity," proposing that Bitcoin's inherent scarcity characteristics mirror those of precious metals, making commodity valuation metrics applicable to cryptocurrency pricing.
The Stock-to-Flow ratio is calculated by dividing the current stock by the expected flow, with higher ratios indicating greater scarcity relative to supply. Bitcoin's predetermined inflation schedule makes calculating S2F ratios particularly straightforward. The blockchain experiences a "halving" event approximately every four years, where the rate of new BTC entering circulation is cut in half. This predictable supply shock means Bitcoin becomes progressively more scarce over time, leading to an increasing S2F ratio and, according to PlanB's theory, a corresponding rise in market price.
The Bitcoin Stock-to-Flow chart developed by PlanB has become widely accessible through various platforms, including PlanB's social media channels and specialized cryptocurrency analytics websites. The chart displays Bitcoin's actual market price as a color-coded line overlaid on S2F-predicted price projections. The color gradient serves as a temporal indicator, with cooler shades such as blue and purple representing periods closest to halving events, while warmer colors like red and orange indicate times furthest from the next halving.
The chart typically features Bitcoin's price on the vertical axis and includes a variance calculation at the bottom, showing the difference between PlanB's Stock-to-Flow model predictions and BTC's actual trading price. Traders analyze these variances and patterns throughout Bitcoin's history to identify potential trends and make informed predictions about future price movements. This visual representation allows for quick assessment of whether Bitcoin is trading above or below its predicted scarcity-based value according to the stock-to-flow framework.
PlanB's Bitcoin Stock-to-Flow model gained rapid popularity in cryptocurrency trading communities due to several compelling advantages. Its relatively simple framework makes it accessible to traders of all experience levels, avoiding the complexity that often characterizes financial modeling. The model focuses on tangible, verifiable aspects of Bitcoin's protocol—specifically its fixed supply cap, halving schedule, and mining rate—rather than relying on subjective interpretations or speculative assumptions.
Over the years since its 2019 introduction, PlanB's Stock-to-Flow model has demonstrated notable correlation with Bitcoin's price trends, with its core prediction of long-term price appreciation due to increasing scarcity showing validity across multiple market cycles. This track record has strengthened its credibility within the crypto community. Additionally, the stock-to-flow model serves as an effective long-term forecasting tool particularly suited for HODLers (long-term holders), providing insights into potentially attractive entry points and opportunities for portfolio hedging strategies.
Despite its widespread adoption, PlanB's Bitcoin Stock-to-Flow model faces legitimate criticisms from analysts and traders. Critics argue that the model's simplicity becomes a weakness by overlooking numerous factors that influence Bitcoin's price, including market sentiment, regulatory developments, technological upgrades, and broader ecosystem innovations. By focusing exclusively on supply dynamics, the stock-to-flow framework fails to capture the multifaceted nature of cryptocurrency markets.
The S2F framework operates under the assumption that Bitcoin functions primarily as "digital gold," a store of value comparable to precious metals. While this narrative has gained traction, it doesn't account for Bitcoin's other potential use cases as a peer-to-peer payment system or reserve currency, each of which could impact pricing differently. Furthermore, PlanB's model relies on historical patterns and continuous demand assumptions, making it vulnerable to unexpected "black swan" events—sudden, unprecedented occurrences that can dramatically shift market dynamics regardless of tokenomic fundamentals.
For short-term traders, PlanB's Stock-to-Flow model offers limited utility. Day traders and swing traders require tools responsive to rapid price movements and short-term volatility, whereas the S2F model excels at analyzing long-term trends related to halving cycles and supply constraints. These traders typically rely on technical indicators, chart patterns, and real-time market data rather than scarcity-based projections.
Traders commonly incorporate PlanB's Bitcoin Stock-to-Flow model into their analytical toolkit to understand BTC's historical price behavior and project long-term trajectories, particularly in relation to halving events. However, prudent traders recognize that the model's singular focus on issuance schedules and tokenomics provides an incomplete picture of market forces. Effective implementation involves integrating PlanB's Stock-to-Flow analysis with complementary approaches, including technical chart analysis, macroeconomic indicators, regulatory news monitoring, and on-chain metrics such as transaction volumes and wallet activities.
The stock-to-flow model's greatest strength lies in establishing a baseline understanding of Bitcoin's scarcity-driven value proposition over extended timeframes. When combined with other analytical methods, PlanB's S2F model contributes valuable context for long-term investment decisions, helping traders identify periods when Bitcoin may be undervalued or overvalued relative to its fundamental scarcity characteristics. This multi-faceted approach enables more robust decision-making than relying on any single indicator in isolation.
PlanB's Bitcoin Stock-to-Flow model represents a significant contribution to cryptocurrency market analysis, offering an accessible framework for understanding the relationship between Bitcoin's scarcity and its potential value. While the stock-to-flow model's simplicity and focus on fundamental tokenomics provide valuable insights for long-term investors, traders must acknowledge its limitations, including its inability to account for market sentiment shifts, technological developments, and unexpected events. PlanB's S2F model is most effective when used as one component of a comprehensive analytical strategy that incorporates multiple data sources and perspectives. As with all predictive models in financial markets, the Stock-to-Flow framework should inform rather than dictate trading decisions, serving as a guide for understanding Bitcoin's scarcity dynamics while remaining mindful of the broader ecosystem factors that influence cryptocurrency valuations.
Yes, PlanB predicted Bitcoin could reach $300,000 by 2026 based on his stock-to-flow model and on-chain metrics.
The Stock-to-Flow ratio measures the scarcity of an asset by comparing existing supply to annual production. Higher ratios indicate greater scarcity, often used for precious metals and cryptocurrencies.
Yes, Plan B sold his Bitcoin in 2023 and shifted his focus to Bitcoin ETFs, marking a significant change in his investment strategy.
Plan B is a pseudonymous crypto analyst known for creating the Bitcoin Stock-to-Flow model, which forecasts Bitcoin's value based on its scarcity.











