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Trend Correlation Heatmap

Created by Steversteves

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Trend Correlation Heatmap

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A trend correlation heatmap that analyzes stock price relationships across multiple timeframes, revealing trend strength and direction through mathematical correlation analysis.

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UNDERSTAND THE TOOL

How it works

The trend correlation heatmap calculates the Pearson Correlation Coefficient between a stock's price and time across different timeframes and lookback periods. It generates a visual representation of trend strength using color-coded correlations ranging from -1 (strong downtrend) to +1 (strong uptrend).

The indicator analyzes multiple timeframes simultaneously, including 1-minute, 5-minute, hourly, and daily charts with varying lookback periods from 50 to 500 candles. By comparing correlations across these timeframes, traders can understand the overall trend dynamics and identify consistent directional movements.

Why it may be useful

The trend correlation heatmap provides traders with a quantitative approach to understanding market trends beyond traditional visual analysis. It offers a mathematical perspective on trend strength, helping traders make more informed decisions about potential price movements and trend sustainability.

By revealing correlations across multiple timeframes, the indicator helps traders identify hidden trend patterns that might not be immediately apparent through standard chart analysis. This approach allows for a more comprehensive understanding of a stock's behavior, enabling more precise entry and exit strategies.

When to explore it

The trend correlation heatmap is most effective when analyzing stocks with clear directional movements and during periods of sustained trends. It works best in markets with consistent price action, where correlation patterns can be more reliably interpreted across different timeframes.

Traders should use this indicator when seeking to validate trend strength, confirm potential trend reversals, or adjust their trading parameters based on the most prevalent trend characteristics. It is particularly useful for setting adaptive moving averages, identifying optimal trade entry points, and understanding the overall market sentiment.

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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.