ZScore Reversion
Indicator
258 downloads
Version 1.0, May 2025
Windows, Mac
5.0
Reviews: 1
"ZScore Reversion" uploaded image"ZScore Reversion" uploaded image"ZScore Reversion" uploaded image
Since 03/10/2024
140
Sales
29.92K
Free installs

Pinescriptlabs Store indicators:                        šŸ¤–Pinescriptlabs  Store cBots : (cBot)
Gold & BTC BreakoutSession Pivots(new)

Auto-Trend Channel

PREMIUM SSL CHANNEL

ZigZag

 ICT Power of 3 
                                                   

SmartTrend Support &
Resistance
Lines
       

Fair Value Gap Sessions                
       

 BOS & CHOCH

RSI Trend Trigger

Channel Breakout System

Supertrend

Market Imbalance

Adaptive Trend Channel 

Dynamic
Market Structure
Analysis
of
Turning Points

Order Block

Fibonacci
Linear
Regression
Multi-timeframe

Volume POC Heatmap

Dynamic RSI

Momentum Fair Value Gap

Market Flow Projection

Dynamic Trend Gradient

Multi-Level
Candle Bias
Tracker

Zig-Zag Extremity Tracker

Reactive Moving Average

Auto
Support and
Resistance
Trend
Lines

All
Support and
Resistance
Levels

Leverage Liquidation Map

Zones Supply Demand

Dynamic Range Momentum

 

The Z-Score transforms price into a "standard
deviation" scale,
showing how far each candle’s close (or open, high, low) deviates from its
historical mean. With an intuitive visual, it helps identify overbought/oversold
conditions and
high-probability reversal zones! šŸ”„

1ļøāƒ£ What Does It Do?

šŸ”¹ Standardizes Price: Converts the absolute closing value into a Z-Score—how many standard deviations it is from the mean
of the last N bars.
šŸ”¹ Highlights
Statistical Extremes: Values
near Ā±1, ±2, or ±3 indicate rarity in price movement:

  • ±1 SD (ā‰ˆ 68% probability between –1 and 1)
  • ±2 SD (ā‰ˆ 95% probability between –2 and 2)
  • ±3 SD (ā‰ˆ 99.7% probability between –3 and 3)
    šŸ”¹ Aids
    in Mean Reversion Trading:
    When Z-Score exceeds Ā±2 or ±3, the market is in an extreme
    zone and tends to
    revert toward the mean (zero).
    šŸ”¹ Clear
    Visualization: Using histograms (or special candles), a moving average
    line, and colored zones, you can instantly see if price is behaving "normally" or is a statistical
    outlier.

2ļøāƒ£ How Does It Work?

šŸ“ Calculation of Mean & Standard Deviation

  • A lookback
    period (e.g., 99
    bars) is used.
  • The mean and standard
    deviation (SD) of
    closing prices are calculated.
  • Higher SD = More volatility in price movements.

🧮 Z-Score Formula

Z=Current Closeāˆ’Historical MeanStandard DeviationZ=Standard DeviationCurrent Closeāˆ’Historical Mean​

  • Positive Z ā†’ Close above the mean.
  • Negative Z ā†’ Close below the mean.

šŸ“Š Z-Table Probabilities

  • Highlights the
    current Z-Score’s column to show how rare/extreme the price is!

3ļøāƒ£ How to Use It in Trading

āœ… Mean Reversion: Look for Z > +2 or Z < –2 to trade reversals (sell overbought
extremes, buy oversold extremes).
āœ… Trend Confirmation: A sustained Z
> 0 + rising moving average signals
strength; Z < 0 + falling MA suggests weakness.
āœ… Risk Management: Near Ā±1 SD, expect normal moves; near Ā±3
SD, adjust stops &
position sizes carefully.
āœ… Entry Timing: Combine extreme Z-Scores with support/resistance
levels for precise
entries.

4ļøāƒ£ Pros & Considerations

āœ”ļø Advantages

  • Statistical edge in spotting extreme price conditions.
  • Multiple display modes (histogram, candles, bands, probability
    table).
  • Easy customization (length, colors, chart type).

āš ļø Considerations:

  • In strong
    trends, price can stay
    "extreme" for long periods without reversing.
  • Assumes a normal
    distribution—may not
    work well in highly volatile/skewed markets.
  • Best used in stable
    volatility environments.

 

5.0
Reviews: 1
5
100 %
4
0 %
3
0 %
2
0 %
1
0 %
Customer reviews
May 27, 2025
Good implementation of Z Scores. I found that Z Scores work best when using MTF analysis to show counter trend scalps but I am sure those who trade moving average plays will find this very useful!
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Since 03/10/2024
140
Sales
29.92K
Free installs