What Is a Worked Example of Holding Losers?

Explore What is a worked: mechanics, differences, limitations, and practical checks.

What holding losers means

Holding losers is the behaviour of keeping a losing position open rather than closing it after it moves against you. In practical terms, you continue to “carry” the position while the unrealized result is negative, usually because you expect the position to improve later.

A worked example can separate two things:

  • Stable mechanics: how profit/loss changes with price movement and with costs.
  • Variable conditions: market movement, execution quality, and other factors that change over time.

Because real market data is not assumed here, the example uses clear, stated numbers.

How the mechanics work

To make a worked example, assume a simple “long position” setup where you buy first and later sell, and you calculate profit/loss from the price change.

Assumptions (state explicitly):

  1. You open a position at an entry price of 1.2000.
  2. You close it at a later exit price.
  3. You hold it for some time (the time itself is not a calculation input; it only affects which exit price happens).
  4. You incur a cost per trade (for example, spread/commission/fees) that is paid when you open or close. For simplicity, use one total cost amount.

Example inputs:

  • Entry price: 1.2000
  • Exit price (scenario outcome): 1.1980 (the market moved against the position)
  • Position size (notional): 10,000 units
  • Total transaction cost: 10 (in account currency units)

Profit/loss mechanics (simplified):

  • Price difference = Exit − Entry = 1.1980 − 1.2000 = −0.0020
  • Loss on notional (simplified proportional model) = −0.0020 × 10,000 = −20
  • Net result = −20 − 10 = −30

In this scenario, “holding losers” means you stayed in a position where you were already down, and later you exited at a worse price than the entry.

Worked scenario: holding vs closing

Now compare two paths using the same starting entry and the same transaction cost assumption.

Shared assumptions:

  • Entry price: 1.2000
  • Notional: 10,000 units
  • Total transaction cost: 10

Option A: close immediately (assume an immediate exit)

  • Exit price: 1.2000 (no price movement)
  • Price difference = 0.0000
  • Trading result before costs = 0
  • Net result = 0 − 10 = −10 (you still pay costs)

Option B: hold the loser and exit later at a worse price

  • Exit price: 1.1980
  • Price difference = −0.0020
  • Loss before costs = −0.0020 × 10,000 = −20
  • Net result = −20 − 10 = −30

What this shows: holding a losing position does not “fix” the mechanics. If exit occurs after the market moves further against you, losses can become larger in a way that follows from the stated price change and costs.

Important: if the exit price were instead higher than entry, the same mechanics would produce a gain. The worked example does not predict which case happens; it only demonstrates how outcomes depend on inputs.

Relevant limitations and failure modes

A few material limitations apply to any “holding losers” example like this:

  1. Costs and execution matter. If costs are higher or execution is worse than assumed, net results differ even with the same entry and exit prices.
  2. Time does not guarantee recovery. The longer you wait, the more ways the exit price can move; there is no rule that unrealized losses will revert.
  3. Hidden assumptions change the answer. For example, averaging into losses, changing position size, partial closes, or different fee models would require a different calculation model.
  4. Behavioural failure modes can reinforce the error. Common patterns include delayed closing, decision inertia, and becoming anchored to the original entry rather than the current risk.

A practical way to verify the mechanics independently is to recompute profit/loss from the same formula you used above (price difference times notional, minus stated costs) using the same stated entry and exit prices.

Verification and next question

If you want to independently verify the concept and its limits, rewrite the worked example with your own assumptions for:

  • entry price,
  • exit price,
  • notional size (or a different proportional model),
  • total transaction costs.

Then evaluate two scenarios: one where you exit earlier and one where you “hold the loser” longer. The key check is whether your calculation truly changes because of price and costs, rather than because of the belief that the position will improve.

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