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This simplified case shows why position count is not the same as diversification.

Setup

A $10,000 account opens three positions, each with a planned stop-based loss of 1%:
  • long EUR/USD;
  • long GBP/USD;
  • long AUD/USD.
The account has $300 of total planned stop-based loss before costs. The positions use different symbols, but each benefits from U.S. dollar weakness.

Shared failure scenario

A broad dollar rally follows a policy surprise. All three pairs decline and all three stops are reached. The arithmetic was visible from the start. The hidden feature was the clustering: the same event could produce every loss together. In live trading, the total can exceed $300 because of gaps, slippage, commissions, and differing liquidity.

Why the portfolio was not diversified

Each position contained a distinct non-dollar currency, but the dominant scenario was common U.S. dollar exposure. The relevant question was not “How many symbols are open?” It was “What market move makes these positions fail together?” Similar concentration can occur across:
  • a stock index and its largest constituents;
  • oil futures and energy producers;
  • several strategies using the same trend signal;
  • different accounts copying the same trades;
  • pending orders activated by one news release.

Controls

A stronger policy might cap:
  • risk per position at 1%;
  • U.S. dollar directional risk at 1.5%;
  • risk per trade idea at 1.5%;
  • total open risk at 2%;
  • exposure before scheduled events at a lower level.
Under those rules, the third trade would need to be reduced or rejected.

Accounting for correlated risk

Compare factor grouping, scenarios, and quantitative methods.

Risk per trade idea

Turn shared exposure into an explicit limit.

One-side betting

Identify repeated directional bets.

EmoGuardian

Review account-level exposure controls.
The example assumes all stops execute as planned. Actual losses and correlations can differ materially.