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Stocktoflow script on TradingView introduces QuantMario’s logistic S2F model, refining Bitcoin price analysis with non‑linear dynamics and adjustable
The new Stocktoflow indicator, published on TradingView, replaces the traditional linear stock‑to‑flow (S2F) formula with QuantMario’s Logistic Growth S2F (LGS‑S2F) model, aiming to give traders a more nuanced view of Bitcoin’s price drivers【1】.
| At a glance | |
|---|---|
| Indicator | Stocktoflow (Pine Script) |
| Model | Logistic Growth S2F (LGS‑S2F) |
| Key improvement | Non‑linear relationship via logistic function |
| Features | Adjustable coefficients, sigma calculation (normal or stdev) |
The classic S2F model assumes a straight‑line link between Bitcoin’s scarcity (stock ÷ flow) and its price, a premise that critics say ignores market saturation and sentiment effects. QuantMario’s LGS‑S2F model inserts a logistic growth curve, which “recognizes diminishing returns of scarcity and the saturation of market demand”【1】. By doing so, it attempts to capture the flattening of price gains as the S2F ratio climbs, a behavior the linear model cannot represent.
Implemented in Pine Script®, the indicator lets users set custom coefficients that shape the logistic curve, and choose between normal or standard‑deviation sigma calculations for volatility smoothing【1】. These adjustable parameters give analysts the flexibility to back‑test different scenarios against historical Bitcoin data, while the script’s on‑chart output visualises the projected price path alongside the raw S2F ratio.
| Metric | Value / Description |
|---|---|
| Supply measure | Stock (existing Bitcoin supply) |
| Flow measure | New Bitcoin issuance per period |
| Relationship | Logistic growth function rather than linear |
The Stocktoflow script reflects a broader push to refine scarcity‑based pricing tools with more realistic, data‑driven assumptions. Whether the logistic approach proves more predictive than the classic S2F will depend on how Bitcoin’s price behaves as supply growth continues to slow.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Jun 25, 2026 · How we report
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