> ## Documentation Index
> Fetch the complete documentation index at: https://www.questforedge.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Accounting for Correlated Risk in Trading

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

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> 💡 **Key Point**\
> Different trades can behave like a single position if they share the same macro driver.

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### Examples

#### 📊 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

<figure>
  <img src="https://4245882022-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCJrswCRQHKa1lIEtI0Fo%2Fuploads%2FNoKRX9MKwBURFo13Udj7%2FChatGPT%20Image%2020%20apr%202026%2C%2020_21_57.png?alt=media&token=9f0702d8-e127-418b-92ce-cd4059400a63" alt="" />
</figure>

> 📈 **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:** \[Tools Section\]](/tools/)