Clustering & Divergences (RSI-Stoch-CCI) [Sam SDF-Solutions]

How it works

The Clustering & Divergences indicator calculates normalized values for RSI, Stochastic, and CCI oscillators using three potential normalization methods: MinMax, Z-Score, or Z-Bins. Each oscillator's normalized value is then multiplied by a user-defined weight and summed to create an overall Score that represents combined market dynamics.

The indicator then performs clustering on this Score over a configurable window, dividing the Score range into multiple clusters. Each cluster is assigned a unique color to visually represent market conditions, ranging from oversold to balanced to overbought. Additionally, the tool automatically detects both regular and hidden divergences between price action and the Score.

Why it may be useful

This indicator helps traders minimize subjective analysis by integrating multiple oscillator signals into a single, cohesive metric. By providing a comprehensive view of market conditions, it allows traders to quickly assess potential trend strength, momentum, and potential reversal points without relying solely on individual oscillator interpretations.

The automated divergence detection and clustering approach offer traders a streamlined method for understanding market dynamics. By visualizing the Score and its associated clusters, traders can more effectively identify potential entry and exit points, making their decision-making process more systematic and data-driven.

When to explore it

The Clustering & Divergences indicator is most effective in markets with clear cyclical or oscillating price movements, such as forex, cryptocurrencies, and certain stock indices. It works best when traders want a comprehensive view of market momentum and are looking to identify potential trend reversals or consolidation periods.

Traders should use this indicator in conjunction with other technical analysis tools and consider its signals most reliable when multiple oscillators show consistent signals. It is particularly useful during ranging markets or when attempting to confirm trend strength and potential exhaustion points across different timeframes.

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