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
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.Risk per trade idea
Group multiple positions under one risk budget.
Accounting for correlated risk
Connect exposure controls with correlation and stress behavior.
Prop risk checklist
Add aggregate-exposure checks to the trading routine.
Risk controls in EmoGuardian
Explore monitoring for symbol, account, and trade-idea limits.
Correlation-based controls are estimates. Gaps, slippage, changing dependence, and execution failures can produce losses beyond planned amounts.