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MA Z-Score Deviation
A valuation oscillator that measures how far price has stretched from its statistical fair value defined here as its moving average, expressed as a standardized score rather than raw price units.
How it works
Base: A moving average (SMA, EMA, or WMA) serves as the reference "fair value" line. Deviation from this baseline is calculated as a log ratio (log(price / MA)) rather than a simple price difference, so the reading stays comparable across different price levels and time periods: a 5% premium or discount reads the same whether the instrument is at $10 or $500.
Standardization: the deviation is divided by its own rolling dispersion to produce a score that expresses how rich or cheap price is relative to its typical range, not just in absolute terms.
Two dispersion methods are available:
Standard Deviation: the classical measure of typical variability.
MAD: a median-based measure that's more resistant to distortion from one-off outlier bars.
Blend: a weighted combination of both, adjustable via the MAD Weight input.
Display scaling: the score is passed through a bounded transform for cleaner visual scaling on the chart, while the underlying valuation ranking is preserved.
Inputs
Source & MA type (SMA/EMA/WMA) and length
Lookback length for the dispersion calculation, independent from the MA length, letting you compare long-term fair value against recent volatility conditions
Dispersion method (Stdev / MAD / Blend) and blend weight
Display scaling factor
Reading the indicator
Positive values indicate price is trading at a premium to its baseline; negative values indicate a discount.
Values beyond ±2 suggest a notable premium/discount relative to recent conditions; beyond ±3 suggests a substantial one.
Because the baseline is statistical rather than fixed, the "fair value" and its bands adjust automatically as market conditions evolve.
Notes / limitations
This measures statistical richness/cheapness relative to a moving average, not intrinsic or fundamental value; it's a technical valuation lens, not a fundamental one.
Financial return distributions have fatter tails than a normal distribution assumes, so extreme readings can occur more frequently than the underlying statistical model implies; treat scores as relative positioning, not precise probabilities.
Alerts trigger only on confirmed bar closes to avoid firing on intrabar noise.
How it works
Base: A moving average (SMA, EMA, or WMA) serves as the reference "fair value" line. Deviation from this baseline is calculated as a log ratio (log(price / MA)) rather than a simple price difference, so the reading stays comparable across different price levels and time periods: a 5% premium or discount reads the same whether the instrument is at $10 or $500.
Standardization: the deviation is divided by its own rolling dispersion to produce a score that expresses how rich or cheap price is relative to its typical range, not just in absolute terms.
Two dispersion methods are available:
Standard Deviation: the classical measure of typical variability.
MAD: a median-based measure that's more resistant to distortion from one-off outlier bars.
Blend: a weighted combination of both, adjustable via the MAD Weight input.
Display scaling: the score is passed through a bounded transform for cleaner visual scaling on the chart, while the underlying valuation ranking is preserved.
Inputs
Source & MA type (SMA/EMA/WMA) and length
Lookback length for the dispersion calculation, independent from the MA length, letting you compare long-term fair value against recent volatility conditions
Dispersion method (Stdev / MAD / Blend) and blend weight
Display scaling factor
Reading the indicator
Positive values indicate price is trading at a premium to its baseline; negative values indicate a discount.
Values beyond ±2 suggest a notable premium/discount relative to recent conditions; beyond ±3 suggests a substantial one.
Because the baseline is statistical rather than fixed, the "fair value" and its bands adjust automatically as market conditions evolve.
Notes / limitations
This measures statistical richness/cheapness relative to a moving average, not intrinsic or fundamental value; it's a technical valuation lens, not a fundamental one.
Financial return distributions have fatter tails than a normal distribution assumes, so extreme readings can occur more frequently than the underlying statistical model implies; treat scores as relative positioning, not precise probabilities.
Alerts trigger only on confirmed bar closes to avoid firing on intrabar noise.
نص برمجي مفتوح المصدر
بروح TradingView الحقيقية، قام مبتكر هذا النص البرمجي بجعله مفتوح المصدر، بحيث يمكن للمتداولين مراجعة وظائفه والتحقق منها. شكرا للمؤلف! بينما يمكنك استخدامه مجانًا، تذكر أن إعادة نشر الكود يخضع لقواعد الموقع الخاصة بنا.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.
نص برمجي مفتوح المصدر
بروح TradingView الحقيقية، قام مبتكر هذا النص البرمجي بجعله مفتوح المصدر، بحيث يمكن للمتداولين مراجعة وظائفه والتحقق منها. شكرا للمؤلف! بينما يمكنك استخدامه مجانًا، تذكر أن إعادة نشر الكود يخضع لقواعد الموقع الخاصة بنا.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.