> ## 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.

# One-Side Betting and Correlated Exposure

> Identify when multiple trades create one concentrated directional bet and learn practical ways to cap correlated exposure.

**One-side betting** occurs when several positions depend on the same directional market outcome. The orders may use different symbols, but the account is repeatedly betting on one currency, sector, index factor, commodity, or macro view.

This matters because platform-level diversification can be economically misleading. Ten tickets are not ten independent risks if one event can move all of them against the account.

## Common examples

* Long several technology stocks while also long a technology-heavy index.
* Long EUR/USD and GBP/USD while short USD/CHF.
* Long crude oil producers and crude oil futures.
* Multiple strategies that all reduce exposure during calm markets but add it during a volatility shock.
* Several pending orders that can trigger during the same news event.

## Correlation is not enough

Historical correlation is useful, but it is not a fixed property. Relationships can strengthen, weaken, or reverse. During market stress, liquidity falls and positions that looked diversified may respond to the same forced-flow or risk-off factor.

For that reason, exposure control should consider both measured correlation and plain-language scenario analysis: “What single event could make these positions lose together?”

## Controls that reduce concentration

| Control                | Purpose                                      |
| ---------------------- | -------------------------------------------- |
| Per-symbol cap         | Prevents repeated exposure in one instrument |
| Currency or sector cap | Aggregates positions with a common factor    |
| Directional cap        | Limits one-sided long or short risk          |
| Risk-per-idea cap      | Groups orders that express one thesis        |
| Total open-risk cap    | Limits account-wide stop-based loss          |
| Stress scenario        | Estimates loss under a shared adverse move   |

## A decision rule

Before opening a new trade, calculate its stand-alone risk and its contribution to every relevant group. Accept the trade only if all applicable limits remain satisfied. When categories overlap, the most restrictive limit wins.

This approach is intentionally conservative. It avoids relying on a single correlation estimate and makes the risk logic explainable during review.

<CardGroup cols={2}>
  <Card title="Risk per trade idea" icon="layer-group" href="/system/prop-trading/risk-per-trade-idea">
    Group multiple positions under one risk budget.
  </Card>

  <Card title="Accounting for correlated risk" icon="link" href="/research/risk-experiments/accounting-for-correlated-risk-in-trading">
    Connect exposure controls with correlation and stress behavior.
  </Card>

  <Card title="Prop risk checklist" icon="list-check" href="/system/prop-trading/prop-firm-risk-management-checklist">
    Add aggregate-exposure checks to the trading routine.
  </Card>

  <Card title="Risk controls in EmoGuardian" icon="shield-heart" href="/tools/getting-started/emoguardian">
    Explore monitoring for symbol, account, and trade-idea limits.
  </Card>
</CardGroup>

<Note>
  Correlation-based controls are estimates. Gaps, slippage, changing dependence, and execution failures can produce losses beyond planned amounts.
</Note>