Disclaimer: This content is for informational purposes only and should not be construed as financial advice.
Understanding Bitcoin's Stock-to-Flow Model
Bitcoin's stock-to-flow (S2F) ratio measures scarcity by comparing existing supply (stock) to annual production (flow). This page presents daily-updated charts analyzing the correlation between Bitcoin's S2F ratio and its USD price, using data from CoinMetrics.
Key observations:
- Strong logarithmic correlation exists between S2F and price
- Charts are generated using Python and Gnuplot (GitHub repository)
- All predictions extend to January 1, 2027
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Comprehensive Chart Analysis
1. Historical Price vs. Stock-to-Flow
![Historical chart description]
This visualization plots:
- Grey line: S2F ratio (right axis) and predicted price (left axis)
- Dark blue band: ±1 standard error
- Light blue band: ±2 standard errors
2. Recent Two-Year Trends
![2-year detail description]
Focuses on the most recent price movements and S2F developments, offering a detailed view of current market conditions.
3. Logarithmic Regression Analysis
![Logarithmic chart description]
Demonstrates the mathematical relationship between:
- ln(S2F) on the x-axis
- ln(Price) on the y-axis
Grey lines indicate ±1 standard error from the regression.
Latest Market Data (July 1, 2025)
| Metric | Value |
|---|---|
| Current Price | $105,566.36 |
| Predicted Price | $375,609.73 |
| Upper 1SE Bound | $682,104.77 |
| Lower 1SE Bound | $206,834.31 |
| Upper 2SE Bound | $1,364,209.54 |
| Lower 2SE Bound | $103,417.15 |
Frequently Asked Questions
What makes stock-to-flow significant for Bitcoin?
The S2F model quantifies Bitcoin's scarcity, which many analysts believe correlates with its long-term value appreciation as new coin production decreases.
How often is this data updated?
All charts refresh daily using the latest Bitcoin price and mining data.
Why are logarithmic scales used?
Logarithmic transformations better reveal the proportional relationship between scarcity and price over Bitcoin's volatile history.
How reliable are the price predictions?
Predictions represent model outputs based on historical patterns—actual prices may vary due to unanticipated market factors.
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Key Takeaways
- Bitcoin's scarcity mechanism shows quantifiable correlation with price
- Standard error bands provide probabilistic price corridors
- Model predictions suggest continued price growth through 2027
- Daily updates ensure analysis reflects current network conditions
All dollar values represent USD valuations. Standard error (SE) calculations assume normal distribution of residuals.