OPEN-SOURCE SCRIPT
Zaktualizowano Smart Money Pressure Differential
Purpose
The Smart Money Pressure Differential (SMPD) is built to reveal the underlying tug‑of‑war between informed volume flows represented by NVI and reactive volume flows represented by PVI, using a clean statistical framework. Instead of relying on raw NVI or PVI, which drift over time and are not directly comparable, the script isolates pressure deviations by measuring how far each index moves away from its own long‑term expectation. By standardizing these deviations, SMPD produces a stable, volatility‑normalized spread that highlights accumulation, distribution, and regime transitions with far greater clarity than traditional volume indicators.
How It Works
The script computes NVI and PVI, scales them, and subtracts their EMAs to extract deviation‑from‑trend pressure, with optional WMA smoothing to reduce micro‑noise. Each deviation series is then standardized independently using rolling mean and standard deviation, ensuring both NVI and PVI operate on equal statistical footing. Their difference becomes the SMPD spread, a normalized measure of which side is exerting more pressure. A second layer applies log‑ROC to capture acceleration rather than level, and these acceleration signals can be plotted as dotted lines. Standard deviation reference levels at 0, 1, 2, and 3 provide a consistent frame for interpreting extreme pressure events.
Rationale
This architecture solves structural weaknesses found in most volume‑based tools, particularly scale drift, volatility collapse, and the instability of cumulative indicators. Standardizing before differencing prevents one index from overpowering the other, ensuring the spread reflects true pressure imbalance rather than structural bias. The log‑ROC layer adds a stable acceleration measure that avoids the distortions of classic ROC when values approach zero. The result is a regime‑independent engine, producing signals that remain comparable across assets, timeframes, and market conditions. SMPD therefore becomes a robust diagnostic tool for identifying when smart‑money pressure is building, fading, or reversing, without relying on arbitrary thresholds or bounded oscillators that distort signal strength.
The Smart Money Pressure Differential (SMPD) is built to reveal the underlying tug‑of‑war between informed volume flows represented by NVI and reactive volume flows represented by PVI, using a clean statistical framework. Instead of relying on raw NVI or PVI, which drift over time and are not directly comparable, the script isolates pressure deviations by measuring how far each index moves away from its own long‑term expectation. By standardizing these deviations, SMPD produces a stable, volatility‑normalized spread that highlights accumulation, distribution, and regime transitions with far greater clarity than traditional volume indicators.
How It Works
The script computes NVI and PVI, scales them, and subtracts their EMAs to extract deviation‑from‑trend pressure, with optional WMA smoothing to reduce micro‑noise. Each deviation series is then standardized independently using rolling mean and standard deviation, ensuring both NVI and PVI operate on equal statistical footing. Their difference becomes the SMPD spread, a normalized measure of which side is exerting more pressure. A second layer applies log‑ROC to capture acceleration rather than level, and these acceleration signals can be plotted as dotted lines. Standard deviation reference levels at 0, 1, 2, and 3 provide a consistent frame for interpreting extreme pressure events.
Rationale
This architecture solves structural weaknesses found in most volume‑based tools, particularly scale drift, volatility collapse, and the instability of cumulative indicators. Standardizing before differencing prevents one index from overpowering the other, ensuring the spread reflects true pressure imbalance rather than structural bias. The log‑ROC layer adds a stable acceleration measure that avoids the distortions of classic ROC when values approach zero. The result is a regime‑independent engine, producing signals that remain comparable across assets, timeframes, and market conditions. SMPD therefore becomes a robust diagnostic tool for identifying when smart‑money pressure is building, fading, or reversing, without relying on arbitrary thresholds or bounded oscillators that distort signal strength.
Informacje o Wersji
- Removed the smoothing that was weakening the true displacement and acceleration signals by blurring the inputs before ROC was calculated. Now ROC is computed on clean, raw standardized differences, and any smoothing happens only afterward as a cosmetic layer, preserving the full integrity of SMPD’s physics.Informacje o Wersji
- Applied the classical ROC formula since smoothing solved the explosive behaviour and there's no need for alternative ROC on the raw valuesSkrypt open-source
W zgodzie z duchem TradingView twórca tego skryptu udostępnił go jako open-source, aby użytkownicy mogli przejrzeć i zweryfikować jego działanie. Ukłony dla autora. Korzystanie jest bezpłatne, jednak ponowna publikacja kodu podlega naszym Zasadom serwisu.
Wyłączenie odpowiedzialności
Informacje i publikacje nie stanowią i nie powinny być traktowane jako porady finansowe, inwestycyjne, tradingowe ani jakiekolwiek inne rekomendacje dostarczane lub zatwierdzone przez TradingView. Więcej informacji znajduje się w Warunkach użytkowania.
Skrypt open-source
W zgodzie z duchem TradingView twórca tego skryptu udostępnił go jako open-source, aby użytkownicy mogli przejrzeć i zweryfikować jego działanie. Ukłony dla autora. Korzystanie jest bezpłatne, jednak ponowna publikacja kodu podlega naszym Zasadom serwisu.
Wyłączenie odpowiedzialności
Informacje i publikacje nie stanowią i nie powinny być traktowane jako porady finansowe, inwestycyjne, tradingowe ani jakiekolwiek inne rekomendacje dostarczane lub zatwierdzone przez TradingView. Więcej informacji znajduje się w Warunkach użytkowania.