ZScore Reversion
Indicator
325 downloads
Version 1.0, May 2025
Windows, Mac
5.0
Reviews: 1
Trading product for ZScore Reversion Indicator BTCUSD Breakout, image 2
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Trading product for ZScore Reversion Indicator BTCUSD Breakout, image 4
Since 03/10/2024
163
Sales
39.15K
Free installs

Description

Pinescriptlabs Store indicators:                        🤖Pinescriptlabs  Store cBots : (cBot)
Gold & BTC BreakoutSession Pivots(new)

Auto-Trend Channel

PREMIUM SSL CHANNEL

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Resistance
Lines
       

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Channel Breakout System

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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

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Tracker

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Reactive Moving Average

Auto
Support and
Resistance
Trend
Lines

All
Support and
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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! 🔄

1️⃣ What Does It Do?

🔹 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.
🔹 Highlights
Statistical Extremes: Values
near ±1, ±2, or ±3 indicate rarity in price movement:

  • ±1 SD (≈ 68% probability between –1 and 1)
  • ±2 SD (≈ 95% probability between –2 and 2)
  • ±3 SD (≈ 99.7% probability between –3 and 3)
    🔹 Aids
    in Mean Reversion Trading:
    When Z-Score exceeds ±2 or ±3, the market is in an extreme
    zone and tends to
    revert toward the mean (zero).
    🔹 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.

2️⃣ How Does It Work?

📐 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 Close−Historical MeanStandard DeviationZ=Standard DeviationCurrent Close−Historical Mean​

  • Positive Z → Close above the mean.
  • Negative Z → Close below the mean.

📊 Z-Table Probabilities

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

3️⃣ How to Use It in Trading

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

4️⃣ Pros & Considerations

✔️ Advantages

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

⚠️ 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.

 

Summary

AI summary
ZScore Reversion is a trading indicator that standardizes price data by converting closing prices into Z-Scores, which measure how many standard deviations a price is from its historical mean over a specified lookback period. This transformation highlights statistical extremes near ±1, ±2, or ±3 standard deviations, indicating overbought or oversold conditions and potential high-probability reversal zones.
The indicator calculates the mean and standard deviation of recent closing prices to determine the Z-Score using the formula:
Z = (Current Close − Historical Mean) / Standard Deviation.
Positive Z-Scores indicate prices above the mean, while negative scores indicate prices below it.
ZScore Reversion provides clear visualizations through histograms, special candles, moving averages, and colored zones to distinguish normal price behavior from statistical outliers. It supports mean reversion trading by signaling when prices exceed ±2 or ±3 standard deviations, suggesting a likely return to the mean. It also aids trend confirmation by interpreting sustained positive or negative Z-Scores combined with moving average trends.
Risk management is facilitated by adjusting stops and position sizes near extreme Z-Score values. Entry timing can be refined by combining extreme Z-Scores with support and resistance levels. The indicator offers multiple display modes and customization options for length, colors, and chart types. It is best suited for stable volatility environments and assumes a normal distribution of price data.
Indicator profile

Customer reviews

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!

Discussion

FAQ

BTCUSD
Breakout
Supertrend
Commodities
RSI
Crypto
XAUUSD
Products available through cTrader Store, including trading bots, indicators and plugins, are provided by third-party developers and made available for informational and technical access purposes only. cTrader Store is not a broker and does not provide investment advice, personal recommendations or any guarantee of future performance.

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Price

Since 03/10/2024
163
Sales
39.15K
Free installs