OPEN-SOURCE SCRIPT

Sunspot EMA Cloud

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Sunspot EMA Cloud

Overview
Sunspot EMA Cloud is a multi-layer exponential moving average framework designed to visualize market direction, internal structure, and higher-timeframe equilibrium zones within a single layout.

The script organizes EMA layers into a hierarchical structure that separates primary trend bias, medium-term momentum alignment, and long-term structural boundaries.

Primary Trend Cloud (55-200)
The foundation of the system is a fast and slow EMA pair, default values 55 and 200.
When the fast EMA is above the slow EMA, the cloud reflects bullish dominance.
When the fast EMA is below the slow EMA, the cloud reflects bearish dominance.
A gradient fill between the two averages visually highlights directional strength and transition phases.

Medium-Term EMA Cluster (30-60-120)
This layer provides internal structure confirmation.
It can be used to evaluate pullbacks, short-term acceleration, and compression within the direction defined by the primary trend cloud.

Long-Term EMA Tunnels
Three tunnel layers with default lengths 144-169, 288-338, and 576-676 represent progressively higher-order structural zones.
These zones act as dynamic support and resistance areas and help identify expansion or contraction phases in broader market structure.

Logic Framework
The system operates on three coordinated structural layers.
The 55-200 cloud defines directional bias.
The 30-60-120 cluster evaluates internal momentum alignment.
The long-term tunnels define macro structural boundaries.
Separating these elements into independent but coordinated layers provides contextual clarity while reducing visual noise.

How To Use
Use the primary trend cloud to determine directional preference.
Use the EMA cluster to assess pullbacks and short-term structure alignment.
Use the long-term tunnels to identify structural reaction zones.
Each layer can be independently enabled or disabled depending on trading requirements.
All parameters are adjustable to adapt to different markets and timeframes.

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