OPEN-SOURCE SCRIPT
W-MREI (Weekly Mean-Reversion Exhaustion Index)
W-MREI — Weekly Mean-Reversion Exhaustion Index
Description
The Weekly Mean-Reversion Exhaustion Index (W-MREI) is a statistical indicator designed to identify potential top and bottom zones in equities by measuring how far price has moved away from its long-term equilibrium.
The indicator operates on the weekly timeframe and is intended to be used as a structural exhaustion tool, not as a short-term trading signal.
W-MREI combines three key elements of market behavior:
Price deviation from the mean (Z-Score)
Position inside Bollinger Bands
Volatility regime (ATR expansion)
These components together help detect trend exhaustion conditions, which often occur before cyclical turning points.
How to use it
The indicator oscillates around zero, which represents market equilibrium.
Typical interpretation:
Above +2 → bullish exhaustion zone
Below −2 → bearish exhaustion zone
Near 0 → price near equilibrium
The indicator works best when used together with:
RSI
cycle analysis
structural support/resistance
W-MREI is designed as a confirmation tool, not a standalone entry system.
Indicator components (visible in settings)
These checkboxes correspond to internal components of the model:
W-MREI Score
The main composite oscillator.
This is the only line typically needed on the chart.
It combines:
Z-Score (price extension)
Bollinger position
volatility context
This line represents the overall exhaustion level of price.
Z-Score
Measures how far price is from its statistical mean:
(price − moving average) / standard deviation
High positive values indicate overextension above the mean,
negative values indicate compression below it.
This is the core mean-reversion component of the indicator.
%B (Bollinger Position)
Shows where price sits inside Bollinger Bands.
Typical values:
0.5 → middle band
1 → upper band
0 → lower band
1 → breakout above bands
<0 → below bands
This helps confirm extreme price positioning.
ATR Expansion
Measures whether volatility is expanding relative to its longer-term average.
High values indicate:
mature trends
strong directional moves
possible exhaustion phases
This acts as a regime filter.
Description
The Weekly Mean-Reversion Exhaustion Index (W-MREI) is a statistical indicator designed to identify potential top and bottom zones in equities by measuring how far price has moved away from its long-term equilibrium.
The indicator operates on the weekly timeframe and is intended to be used as a structural exhaustion tool, not as a short-term trading signal.
W-MREI combines three key elements of market behavior:
Price deviation from the mean (Z-Score)
Position inside Bollinger Bands
Volatility regime (ATR expansion)
These components together help detect trend exhaustion conditions, which often occur before cyclical turning points.
How to use it
The indicator oscillates around zero, which represents market equilibrium.
Typical interpretation:
Above +2 → bullish exhaustion zone
Below −2 → bearish exhaustion zone
Near 0 → price near equilibrium
The indicator works best when used together with:
RSI
cycle analysis
structural support/resistance
W-MREI is designed as a confirmation tool, not a standalone entry system.
Indicator components (visible in settings)
These checkboxes correspond to internal components of the model:
W-MREI Score
The main composite oscillator.
This is the only line typically needed on the chart.
It combines:
Z-Score (price extension)
Bollinger position
volatility context
This line represents the overall exhaustion level of price.
Z-Score
Measures how far price is from its statistical mean:
(price − moving average) / standard deviation
High positive values indicate overextension above the mean,
negative values indicate compression below it.
This is the core mean-reversion component of the indicator.
%B (Bollinger Position)
Shows where price sits inside Bollinger Bands.
Typical values:
0.5 → middle band
1 → upper band
0 → lower band
1 → breakout above bands
<0 → below bands
This helps confirm extreme price positioning.
ATR Expansion
Measures whether volatility is expanding relative to its longer-term average.
High values indicate:
mature trends
strong directional moves
possible exhaustion phases
This acts as a regime filter.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.