Global Risk Matrix [QuantAlgo]

l’altro ieri

🟢 Overview

The Global Risk Matrix is a comprehensive macro risk assessment tool that aggregates multiple global financial indicators into a unified risk sentiment framework. It transforms diverse economic data streams (from currency strength and liquidity measures to volatility indices and commodity prices) into standardized Z-Score readings to identify market regime shifts across risk-on and risk-off conditions.

The indicator displays both a risk oscillator showing weighted average sentiment and a dynamic 2D matrix visualization that plots signal strength against momentum to reveal current market phase and historical evolution. This helps traders and investors understand broad market conditions, identify regime transitions, and align their strategies with prevailing macro risk environments across all asset classes.

🟢 How It Works

The indicator employs Z-Score normalization across various global macro components, each representing distinct aspects of market liquidity, sentiment, and economic health. Raw data from sources like DXY, S&P 500, Fed liquidity, global M2 money supply, VIX, and commodities undergoes statistical standardization. Several components are inverted (USDT.D, DXY, VIX, credit spreads, treasury bonds, gold) to align with risk-on interpretation, where positive values indicate bullish conditions.

This unique system applies configurable weights to each component based on selected asset class presets (Crypto Investor/Trader, Stock Trader, Commodity Trader, Forex Trader, Risk Parity, or Custom), creating a weighted average Z-Score. It then analyzes both signal strength and momentum direction to classify market conditions into four distinct phases: Risk-On (positive signal, rising momentum), Risk-Off (negative signal, falling momentum), Recovery (negative signal, rising momentum), and Weakening (positive signal, falling momentum). The 2D matrix visualization plots these dimensions with historical trail tracking to show regime evolution over time.

🟢 How to Use

1. Risk Oscillator Interpretation and Phase Analysis

• Positive Territory (Above Zero): Indicates risk-on conditions with capital flowing toward growth assets and higher risk tolerance
  
• Negative Territory (Below Zero): Signals risk-off sentiment with capital seeking safety and defensive positioning
  
• Extreme Levels (±2.0): Represent statistically significant deviations that often precede regime reversals or trend exhaustion
  
• Zero Line Crosses: Mark critical transitions between risk regimes, providing early signals for portfolio rebalancing
  
• Phase Color Coding: Green (Risk-On), Red (Risk-Off), Blue (Recovery), Yellow (Weakening) for immediate regime identification
  

2. Risk Matrix Visualization and Trail Analysis

• Current Position Marker (⌾): Shows real-time location in the risk/momentum space for immediate situational awareness
  
• Historical Trail: Connected path showing recent market evolution and regime transition patterns
  
• Quadrant Analysis: Risk-On (upper right), Risk-Off (lower left), Recovery (lower right), Weakening (upper left)
  
• Trail Patterns: Clockwise rotation typically indicates healthy regime cycles, while erratic movement suggests uncertainty
  

3. Pro Tips for Trading and Investing

→ Portfolio Allocation Filter: Use Risk-On phases to increase exposure to growth assets, small caps, and emerging markets while reducing defensive positions during confirmed green phases

→ Entry Timing Enhancement: Combine Recovery phase signals with your technical analysis for optimal long entry points when macro headwinds are clearing but prices haven't fully recovered

→ Risk Management Overlay: Treat Weakening phase transitions as early warning systems to tighten stop losses, reduce position sizes, or hedge existing positions before full Risk-Off conditions develop

→ Sector Rotation Strategy: During Risk-On periods, favor cyclical sectors (technology, consumer discretionary, financials) while Risk-Off phases favor defensive sectors (utilities, consumer staples, healthcare)

→ Multi-Timeframe Confluence: Use daily matrix readings for strategic positioning while applying your regular technical analysis on lower timeframes for precise entry and exit execution

→ Divergence Detection: Watch for situations where your asset shows bullish technical patterns while the matrix shows Risk-Off conditions—these often provide the highest probability short opportunities and vice versa

l’altro ieri

Note di rilascio

Updated UI

l’altro ieri

Note di rilascio

Updated alerts