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Correlated risk occurs when multiple trades are driven by the same macro factors, causing losses to happen simultaneously and increasing total exposure beyond intended risk

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The Core Idea

Trades are not independent. Many assets respond to the same underlying drivers:
  • Interest rates
  • USD strength
  • Global growth
  • Risk sentiment
💡 Key Point
Different trades can behave like a single position if they share the same macro driver.

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Examples

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📊 Equity Indexes

S&P 500, NASDAQ, DAX
→ Driven by liquidity and risk appetite

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💱 Forex

EURUSD, GBPUSD, AUDUSD
→ Share exposure to USD strength

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🛢️ Commodities

Gold, silver, oil
→ Influenced by inflation, demand, and USD

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What This Means

If you open multiple correlated trades:
  • Losses can occur simultaneously
  • Total exposure increases
  • Actual risk is higher than expected
⚠️ Important
3 trades at 1% risk ≠ 3% independent risk

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Correlation in Practice

📈 Interpretation
Multiple asset classes are connected through shared macro drivers.
This creates hidden exposure across your portfolio.

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Key Insight

Risk is not defined per trade.
It is defined by total exposure to shared macro drivers.

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Practical Implication

Managing correlated exposure manually is complex and often inconsistent.
⚙️ Implementation
This is where systematic tools become useful to monitor and control total exposure across positions.
→ Explore how this is handled in practice: [Tools Section]