OPEN-SOURCE SCRIPT

RSI Z-Score + Table

267
How It Works

RSI Calculation
The standard RSI is computed over a user-defined period (default: 14), measuring the strength of recent price movements.

Z-Score Transformation
The RSI is then normalized using the Z-Score formula:

ini
Kopieren
Bearbeiten
Z = (RSI - Mean) / Standard Deviation
This highlights whether RSI is unusually high or low compared to its historical behavior.

Smoothing
An optional EMA is applied to the Z-Score for smoother and more reliable signals (default: 10-period smoothing).

Z-Score Table
A real-time value of the RSI Z-Score is displayed in a table in the top-right of the indicator pane.

The value is clamped between +2 and -2

+2 aligns with strong overbought RSI conditions

-2 aligns with strong oversold RSI conditions

How to Use It

Buy Signal Potential: When the Z-Score drops below -1.5 or -2 → statistically oversold RSI

Sell Signal Potential: When the Z-Score rises above +1.5 or +2 → statistically overbought RSI

Use in Confluence: Combine with price action, trend filters, or other Z-Score indicators (e.g. OBV, VWAP, VIX) for SDCA or mean-reversion strategies

כתב ויתור

המידע והפרסומים אינם אמורים להיות, ואינם מהווים, עצות פיננסיות, השקעות, מסחר או סוגים אחרים של עצות או המלצות שסופקו או מאושרים על ידי TradingView. קרא עוד בתנאים וההגבלות.