
A trend analysis tool using Laplace-inspired smoothing to map price action to a historical percentile scale, providing context for market momentum and trend intensity.
Explore complementary indicator rolesHow it works
The Laplace Momentum Percentile calculates a weighted average of price values using exponential decay, emphasizing recent movements while maintaining historical context. It applies a Laplace-style smoothing technique that gives more weight to recent price data, creating a nuanced representation of market momentum.
The filtered signal is then converted into a percentile rank within a historical lookback window, normalizing the output across different assets and timeframes. An optional Kalman filter can be applied to further smooth the signal, dynamically updating estimates and reducing short-term fluctuations without introducing significant lag.
Why it may be useful
This indicator provides traders with a normalized, scale-independent perspective on market behavior, helping to interpret the relative strength or weakness of price movements. By transforming raw price data into a percentile-based view, it offers a more contextual understanding of trend dynamics that can be challenging to discern from traditional price charts.
The tool's ability to segment market movement into distinct trend zones allows traders to quickly identify and assess momentum shifts. Its flexible design, including optional Kalman filtering, enables users to adapt the signal to different market conditions and trading styles, making it a versatile analytical tool.
When to explore it
The Laplace Momentum Percentile is most effective when traders need a nuanced view of trend strength across different market conditions and timeframes. It works particularly well in markets with clear directional movements, helping to identify and confirm trend transitions with greater precision than traditional momentum indicators.
Traders can benefit from this tool when seeking to validate trend momentum, assess market regime changes, or develop confluence-based trading strategies. It is especially useful for analyzing market behavior across multiple assets, as its percentile-based approach provides a standardized method of comparing trend intensity independent of specific price levels.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.

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