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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.
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オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう!無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。