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Universal Valuation Predator | QuantLapse

Universal Valuation Predator
A statistically normalized valuation and mean-reversion engine for all markets and timeframes.
Overview
Universal Valuation Predator is a statistically normalized valuation framework designed to identify relative overbought and oversold conditions across any asset class, any timeframe, and any market regime.
Rather than relying on fixed oscillator levels or asset-specific assumptions, this script expresses price behavior through Z-scores, allowing all signals to be evaluated as deviations from their own historical norms.
This approach enables consistent valuation analysis across:
Core Philosophy
Market behavior varies significantly between instruments and regimes. Absolute indicator thresholds (e.g., RSI = 70) are not inherently comparable across assets or volatility environments.
This script addresses that limitation by:
The result is a universal valuation model that adapts automatically to changing volatility and structure.
Multi-Factor Z-Score Engine
The primary valuation signal is derived from the average Z-score of multiple independent analytical components, including:
Each component is normalized before aggregation, reducing single-indicator bias and increasing signal robustness.
Overbought & Oversold Classification
Valuation regimes are expressed in standard deviations from equilibrium:
Optional labels highlight the first transition into each valuation regime, focusing attention on statistically significant extremes rather than repeated conditions.
Rapid Valuation Mode (Fast Engine)
An optional Rapid Valuation Engine is included for faster market conditions and lower timeframes.
This engine blends Z-score–normalized versions of:
All components are standardized and averaged, producing a responsive valuation signal while maintaining statistical consistency.
Visual Design & Interpretation
This indicator does not predict price direction. It provides context for where price resides relative to its historical behavior.
Intended Use
This script is designed as a valuation and contextual analysis tool, not a standalone trading system.
It is best used alongside:
Z-score extremes indicate statistical rarity, not certainty.
Important Notes
Summary
Universal Valuation Predator delivers a statistically grounded, asset-agnostic framework for identifying relative market extremes using normalized Z-scores. By combining multiple independent indicators into a unified valuation model, it provides a consistent and adaptive method for analyzing overextension and mean-reversion potential across all markets.
A statistically normalized valuation and mean-reversion engine for all markets and timeframes.
Overview
Universal Valuation Predator is a statistically normalized valuation framework designed to identify relative overbought and oversold conditions across any asset class, any timeframe, and any market regime.
Rather than relying on fixed oscillator levels or asset-specific assumptions, this script expresses price behavior through Z-scores, allowing all signals to be evaluated as deviations from their own historical norms.
This approach enables consistent valuation analysis across:
- Cryptocurrencies
- Equities
- Indices
- Forex
- Commodities
Core Philosophy
Market behavior varies significantly between instruments and regimes. Absolute indicator thresholds (e.g., RSI = 70) are not inherently comparable across assets or volatility environments.
This script addresses that limitation by:
- Calculating each component independently
- Normalizing each component using its own rolling mean and standard deviation
- Expressing all outputs as dimensionless Z-scores
The result is a universal valuation model that adapts automatically to changing volatility and structure.
Multi-Factor Z-Score Engine
The primary valuation signal is derived from the average Z-score of multiple independent analytical components, including:
- Relative Strength Index (RSI)
- Chande Momentum Oscillator (CMO)
- Price Gravity Oscillator (PGO)
- Regression Oscillator (ROSC)
- Bollinger Band Percent (%B)
- True Strength Index (TSI)
- Kairi Relative Index (KRI)
Each component is normalized before aggregation, reducing single-indicator bias and increasing signal robustness.
Overbought & Oversold Classification
Valuation regimes are expressed in standard deviations from equilibrium:
- +2σ to +3σ → Overbought
- +3σ to +4σ → Strongly Overbought
- > +4σ → Extremely Overvalued
- −2σ to −3σ → Oversold
- −3σ to −4σ → Strongly Oversold
- < −4σ → Extremely Undervalued
Optional labels highlight the first transition into each valuation regime, focusing attention on statistically significant extremes rather than repeated conditions.
Rapid Valuation Mode (Fast Engine)
An optional Rapid Valuation Engine is included for faster market conditions and lower timeframes.
This engine blends Z-score–normalized versions of:
- Rapid RSI (RRSI)
- Relative Momentum Oscillator (RMO)
- Intraday Momentum Oscillator (IMI)
- Coppock Curve–based momentum
All components are standardized and averaged, producing a responsive valuation signal while maintaining statistical consistency.
Visual Design & Interpretation
- Gradient color mapping reflects valuation intensity
- Background shading reinforces regime context
- Candle coloring mirrors valuation state directly on price
- Neutral zones represent statistical equilibrium, not trade signals
This indicator does not predict price direction. It provides context for where price resides relative to its historical behavior.
Intended Use
This script is designed as a valuation and contextual analysis tool, not a standalone trading system.
It is best used alongside:
- Market structure analysis
- Trend identification
- Volume or liquidity tools
- Risk management frameworks
Z-score extremes indicate statistical rarity, not certainty.
Important Notes
- No future performance is implied or guaranteed
- This script does not constitute financial advice
- All calculations are based solely on historical price data
- Users are responsible for validating settings and interpretations
Summary
Universal Valuation Predator delivers a statistically grounded, asset-agnostic framework for identifying relative market extremes using normalized Z-scores. By combining multiple independent indicators into a unified valuation model, it provides a consistent and adaptive method for analyzing overextension and mean-reversion potential across all markets.
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Этот скрипт опубликован с закрытым исходным кодом. Однако вы можете использовать его свободно и без каких-либо ограничений — читайте подробнее здесь.
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Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.
Скрипт с защищённым кодом
Этот скрипт опубликован с закрытым исходным кодом. Однако вы можете использовать его свободно и без каких-либо ограничений — читайте подробнее здесь.
⌛️ Get Invite-Only Access To Our World Class Systems ⬇️
whop.com/quantlapse-systems/
whop.com/quantlapse-systems/
Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.