OPEN-SOURCE SCRIPT
Quant Mean Reversion Z-Score by Santiago Rebello
### Overview
The Quant Mean Reversion Z-Score is an advanced statistical oscillator designed to track asset overextension. It bridges the gap between raw statistical variance and institutional execution filters by calculating a precise Z-Score and running it through advanced noise-filtering math blocks.
### Why This Script is Unique (Originality & Usefulness)
Instead of rehashing a basic open-source Z-Score or standard RSI (which suffer from market noise and fixed, non-adaptive boundaries), this indicator creates a multi-layered quant pipeline:
1. **Statistical Isolation:** It calculates a raw Z-Score to determine exactly how many standard deviations the current price is away from its historical mean ($Z = \frac{x - \mu}{\sigma}$).
2. **Algorithmic Noise-Reduction:** Rather than using a lagging standard moving average, users can toggle between a Triangular Moving Average (TMA) or an institutional-grade, low-lag Jurik Moving Average (JMA) algorithm to smooth out false-positive whipsaws without sacrificing structural execution speed.
3. **Intraday Market Optimization:** The default lookbacks and threshold bounds are custom-calibrated for high-liquidity index environments (such as the Intraday Nifty 50 5m/15m intervals), providing structural grounding for mean-reversion traders.
### How it Works & Component Interaction
* **The Raw Core:** Isolates pure mathematical variance.
* **The Smoothing Layer:** Filters out high-frequency market noise, preventing premature entries during strong trend expansions.
* **The Execution Bands:** Employs explicit $\pm1$ and customizable threshold standard deviation boundaries to visually map out institutional exhaust zones.
### How to Trade It
* **Bearish Exhaustion (Short Bias):** When the smoothed Z-score crosses above the upper Execution Threshold, the asset is statistically overextended. Look for a cross back below the threshold to signal a mean-reversion short.
* **Bullish Exhaustion (Long Bias):** When the smoothed Z-score drops below the lower Execution Threshold, the asset is statistically undervalued. Look for a hook back above the threshold to signal a mean-reversion long.
* **Equilibrium:** The center 0.0 line serves as the ultimate target for mean-reversion take-profits.
The Quant Mean Reversion Z-Score is an advanced statistical oscillator designed to track asset overextension. It bridges the gap between raw statistical variance and institutional execution filters by calculating a precise Z-Score and running it through advanced noise-filtering math blocks.
### Why This Script is Unique (Originality & Usefulness)
Instead of rehashing a basic open-source Z-Score or standard RSI (which suffer from market noise and fixed, non-adaptive boundaries), this indicator creates a multi-layered quant pipeline:
1. **Statistical Isolation:** It calculates a raw Z-Score to determine exactly how many standard deviations the current price is away from its historical mean ($Z = \frac{x - \mu}{\sigma}$).
2. **Algorithmic Noise-Reduction:** Rather than using a lagging standard moving average, users can toggle between a Triangular Moving Average (TMA) or an institutional-grade, low-lag Jurik Moving Average (JMA) algorithm to smooth out false-positive whipsaws without sacrificing structural execution speed.
3. **Intraday Market Optimization:** The default lookbacks and threshold bounds are custom-calibrated for high-liquidity index environments (such as the Intraday Nifty 50 5m/15m intervals), providing structural grounding for mean-reversion traders.
### How it Works & Component Interaction
* **The Raw Core:** Isolates pure mathematical variance.
* **The Smoothing Layer:** Filters out high-frequency market noise, preventing premature entries during strong trend expansions.
* **The Execution Bands:** Employs explicit $\pm1$ and customizable threshold standard deviation boundaries to visually map out institutional exhaust zones.
### How to Trade It
* **Bearish Exhaustion (Short Bias):** When the smoothed Z-score crosses above the upper Execution Threshold, the asset is statistically overextended. Look for a cross back below the threshold to signal a mean-reversion short.
* **Bullish Exhaustion (Long Bias):** When the smoothed Z-score drops below the lower Execution Threshold, the asset is statistically undervalued. Look for a hook back above the threshold to signal a mean-reversion long.
* **Equilibrium:** The center 0.0 line serves as the ultimate target for mean-reversion take-profits.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, pembuat skrip ini telah menjadikannya sebagai sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Salut untuk penulisnya! Meskipun Anda dapat menggunakannya secara gratis, perlu diingat bahwa penerbitan ulang kode ini tunduk pada Tata Tertib kami.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.