OPEN-SOURCE SCRIPT
Elite Correlation Matrix AI

The Elite Correlation Matrix AI indicator provides comprehensive real-time correlation analysis across multiple asset classes, displaying the interrelationships between equities, bonds, commodities, currencies, and volatility instruments.
The indicator calculates and displays correlation coefficients between a predefined set of major market indices and instruments, including:
• Major equity indices (SPY, QQQ, IWM)
• Long-term Treasury bonds (TLT)
• Gold (GLD)
• Crude oil (USO)
• Volatility (VIX)
• US Dollar Index (DXY)
• Bitcoin (BTCUSD)
Key features include:
• Rolling correlation calculations across user-defined periods to identify both short-term and longer-term relationships
• Visual correlation heat map showing the strength and direction of relationships between all tracked instruments
• Detection of correlation breakdowns, which often precede significant market regime shifts
• Dashboard display providing summary metrics of prevailing correlation patterns
The indicator enables users to monitor the current state of market relationships and identify when traditional correlations begin to break down, which frequently serves as an early warning of impending changes in market behavior. By tracking the degree of connectedness between different asset classes, the indicator provides insight into the current risk environment and the potential for diversification effectiveness.
This analysis is particularly valuable for understanding periods of market stress when asset relationships deviate from their normal patterns, as well as identifying environments where traditional correlations hold and where they are undergoing structural changes.
The indicator calculates and displays correlation coefficients between a predefined set of major market indices and instruments, including:
• Major equity indices (SPY, QQQ, IWM)
• Long-term Treasury bonds (TLT)
• Gold (GLD)
• Crude oil (USO)
• Volatility (VIX)
• US Dollar Index (DXY)
• Bitcoin (BTCUSD)
Key features include:
• Rolling correlation calculations across user-defined periods to identify both short-term and longer-term relationships
• Visual correlation heat map showing the strength and direction of relationships between all tracked instruments
• Detection of correlation breakdowns, which often precede significant market regime shifts
• Dashboard display providing summary metrics of prevailing correlation patterns
The indicator enables users to monitor the current state of market relationships and identify when traditional correlations begin to break down, which frequently serves as an early warning of impending changes in market behavior. By tracking the degree of connectedness between different asset classes, the indicator provides insight into the current risk environment and the potential for diversification effectiveness.
This analysis is particularly valuable for understanding periods of market stress when asset relationships deviate from their normal patterns, as well as identifying environments where traditional correlations hold and where they are undergoing structural changes.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.