OPEN-SOURCE SCRIPT
GXO v6.2c Macro Engine Unified
# GXO v6.2c - Macro Engine Unified
GXO v6.2c is a macroeconomic analysis indicator designed to evaluate the relationship between gold price action and multiple global market drivers. Instead of relying exclusively on price-based indicators, it combines statistical normalization, macroeconomic data, market correlations, and adaptive weighting to estimate whether the current price is aligned with the broader macro environment.
## Main Features
• Robust P5/P95 normalization to reduce the influence of extreme market spikes.
• Adaptive macro model that dynamically weights factors according to their historical relationship with gold.
• Multi-factor analysis including:
* US Dollar Index (DXY)
* Real interest rates
* Inflation expectations (Breakeven)
* Treasury yield curve
* VIX
* MOVE Index
* Silver
* AUD/USD
* USD/JPY
* EUR/USD
* Brent Oil
• Valuation engine that measures macro mispricing between price and the estimated macro model.
• Momentum component combined with macro valuation to produce a unified score.
• Adaptive signal thresholds based on recent statistical behavior.
• Optional filters for trend, relative volume, macro confidence, and scheduled market events.
• GAL (Filtered Exhaustion Logic) for identifying potential divergence between macro conditions and price movement.
• Dashboard with compact and detailed display modes showing:
* Current market regime
* Dominant macro driver
* Macro confidence
* Active factor influence
* Risk environment
* Signal status
* Reversal statistics
## Methodology
The indicator builds a statistical macro model from multiple financial variables and compares it with the current gold price. The difference between both models is treated as macro mispricing, while price momentum is evaluated separately. These components are combined into a single normalized score that can help identify periods where price and macro conditions diverge.
The weighting of each macro factor is adaptive and depends on its recent statistical relationship with gold, allowing the model to adjust as market dynamics evolve.
## Notes
This script is intended as an analytical tool for studying macroeconomic conditions and market behavior. It does not predict future prices and should not be interpreted as financial advice. Users are encouraged to combine its output with their own analysis and risk management.
GXO v6.2c is a macroeconomic analysis indicator designed to evaluate the relationship between gold price action and multiple global market drivers. Instead of relying exclusively on price-based indicators, it combines statistical normalization, macroeconomic data, market correlations, and adaptive weighting to estimate whether the current price is aligned with the broader macro environment.
## Main Features
• Robust P5/P95 normalization to reduce the influence of extreme market spikes.
• Adaptive macro model that dynamically weights factors according to their historical relationship with gold.
• Multi-factor analysis including:
* US Dollar Index (DXY)
* Real interest rates
* Inflation expectations (Breakeven)
* Treasury yield curve
* VIX
* MOVE Index
* Silver
* AUD/USD
* USD/JPY
* EUR/USD
* Brent Oil
• Valuation engine that measures macro mispricing between price and the estimated macro model.
• Momentum component combined with macro valuation to produce a unified score.
• Adaptive signal thresholds based on recent statistical behavior.
• Optional filters for trend, relative volume, macro confidence, and scheduled market events.
• GAL (Filtered Exhaustion Logic) for identifying potential divergence between macro conditions and price movement.
• Dashboard with compact and detailed display modes showing:
* Current market regime
* Dominant macro driver
* Macro confidence
* Active factor influence
* Risk environment
* Signal status
* Reversal statistics
## Methodology
The indicator builds a statistical macro model from multiple financial variables and compares it with the current gold price. The difference between both models is treated as macro mispricing, while price momentum is evaluated separately. These components are combined into a single normalized score that can help identify periods where price and macro conditions diverge.
The weighting of each macro factor is adaptive and depends on its recent statistical relationship with gold, allowing the model to adjust as market dynamics evolve.
## Notes
This script is intended as an analytical tool for studying macroeconomic conditions and market behavior. It does not predict future prices and should not be interpreted as financial advice. Users are encouraged to combine its output with their own analysis and risk management.
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.