Laguerre PPO PercentRank – Market Extremes

Inspired by early Laguerre PPO PercentRank frameworks popularized by Chris Moody.

Laguerre PPO PercentRank – Market Extremes is a momentum oscillator designed to identify statistically extreme bullish and bearish conditions using a Laguerre-smoothed Percentage Price Oscillator (PPO) combined with a rolling PercentRank model.

The indicator applies dual Laguerre filters (short and long gamma settings) to the hl2 price series, producing a smooth and low-lag PPO structure. Instead of relying on absolute oscillator levels, it evaluates the current PPO value relative to its historical distribution over configurable lookback windows. This distribution-based normalization allows traders to detect contextual extremes rather than fixed overbought/oversold levels.

Core Components

1. Laguerre-Smoothed PPO

• Dual gamma-based Laguerre filters reduce noise while preserving responsiveness.
• PPO is calculated as the percentage difference between short and long Laguerre outputs.
• Symmetrical construction allows separate analysis of bullish and bearish momentum pressure.

2. PercentRank Normalization

• The current PPO value is ranked against its historical range.
• Separate lookback periods for tops and bottoms allow asymmetric regime modeling.
• Converts raw momentum into a statistically interpretable percentile scale (0 to ±100).

3. Extreme & Warning Thresholds

Configurable percentile thresholds define:

• Extreme conditions (e.g., 90th percentile)
• Early warning zones (e.g., 70th percentile)

Histogram coloring visually distinguishes:

• Neutral conditions
• Warning expansion
• Statistically extreme momentum

Practical Use Cases

• Identifying potential market tops during euphoric expansion.
• Detecting exhaustion phases after extended downtrends.
• Regime-aware momentum analysis without relying on static oscillator boundaries.
• Filtering breakout trades by avoiding statistically overextended conditions.

Because the model is distribution-driven rather than level-driven, it adapts to volatility regimes and structural market differences across instruments and timeframes.

Key Parameters

• Short Gamma (Laguerre responsiveness)
• Long Gamma (trend baseline smoothing)
• Top PercentRank Lookback
• Bottom PercentRank Lookback
• Extreme and Warning percentile thresholds
• Optional threshold visibility controls

Why This Approach Matters

Traditional PPO signals can remain elevated during strong trends, producing premature reversal signals. By transforming PPO values into percentile ranks, this indicator highlights when momentum is not just strong — but statistically extreme relative to its own history.