Trading Around Earnings: Size for Gap Risk, Not Just Your Stop

Trading Around Earnings: Size for Gap Risk, Not Just Your Stop

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Evergreen trading tutorial: The examples below are hypothetical. Earnings outcomes and opening gaps cannot be predicted reliably. This is educational information, not personalised advice or a recommendation to hold or close any position.

A stop-loss can control an exit only when the market can trade and an order can reach available liquidity. When a company releases earnings after the close, price may reopen far above or below the stop. The order can then fill at the next available price rather than the planned trigger.

That changes the sizing question. Before a scheduled earnings event, entry-to-stop distance is only one risk measure. The trader also needs a gap scenario based on plausible event movement, liquidity and total portfolio exposure.

Learning objective

By the end of this guide, you should be able to:

• distinguish ordinary stop risk from earnings gap risk;
• estimate position loss under several opening-gap scenarios;
• interpret an options-implied move without treating it as a boundary;
• choose among exit, reduce, hold and hedge decisions; and
• size a hypothetical position from the event scenario rather than the visible stop alone.

Why an ordinary stop can fail overnight

Assume a share closes at £60 and a sell stop is placed at £58.50. If the next trade after earnings is £52.80, there may be no buyer at £58.50. A stop-market order becomes a market order when triggered and may fill near £52.80 or lower. A stop-limit order may avoid a very low fill, but it can remain completely unexecuted.

The £1.50 distance therefore describes normal-session price risk. It does not cap event risk while the market is closed. Our overnight gap-risk guide explains this execution problem in more detail.

Scheduled events create a different distribution

During a normal session, many small price changes accumulate as orders interact. Earnings compress new information into one release: revenue, profit, guidance, margins, cash flow, management commentary and unexpected operational details.

Price may jump because the information changes value expectations. It may also move because positioning was crowded, options dealers rebalance, liquidity thins or guidance differs from the headline result. A company can beat reported estimates and still fall if expectations were higher than the published consensus.

This makes “good earnings” or “bad earnings” an unreliable directional rule.

Four choices before the event

1. Exit

Closing the position before the release removes company-specific overnight exposure. It also gives up any favourable gap and may create transaction costs or tax consequences.

2. Reduce

Reducing the number of shares lowers both favourable and adverse event impact. This is often easier to quantify than trying to predict direction.

3. Hold

Holding accepts the full event distribution. The decision should be explicit, with a loss scenario that the account can absorb even if the stop is bypassed.

4. Hedge

Options or correlated instruments may offset some risk, but a hedge introduces premium, spread, implied-volatility, basis and execution risk. A poorly understood hedge can create a second position rather than reliable protection.

None of the four is universally correct. The appropriate choice depends on thesis, horizon, concentration, liquidity, taxes, costs and the ability to tolerate a gap.

A step-by-step event-risk framework

1. Confirm the date and release timing

Use the company's investor-relations page or an exchange announcement. Third-party calendars can contain stale times. Determine whether the release is before the open, after the close or during the session, and whether management holds a later conference call.

2. Measure total exposure

Include direct shares, options, leveraged products and correlated positions. Several technology companies reporting in the same week may create more portfolio event risk than each position suggests separately.

3. Build several gap scenarios

Use a range rather than one forecast. Possible inputs include the share's past earnings gaps, current volatility, sector events, balance-sheet risk and market conditions.

Historical gaps are not guaranteed limits. A company can exceed every prior move when the information is new enough.

4. Calculate cash loss at each scenario

For a linear long position:

Scenario loss = number of shares × (entry or reference price − scenario exit price)

Add spread, slippage, currency conversion and fees where material.

5. Compare with the account's event budget

The normal per-trade risk budget may be too large when several positions have simultaneous binary events. Define a separate event-risk limit if the strategy regularly holds through earnings.

6. Decide before the final minutes

Liquidity and spreads can deteriorate near the close. Record the decision, size and scenario before urgency changes the plan.

Worked hypothetical example

Assume a fictional company trades at £60 before an after-hours earnings release. A normal chart-based plan uses:

• stop: £58.50;
• stop distance: £1.50 per share;
• account equity: £18,000; and
• hypothetical ordinary risk budget: 0.5%, or £90.

Normal-session position size would be:

£90 ÷ £1.50 = 60 shares

Now add an adverse earnings-gap scenario of 12%. A 12% fall from £60 gives a scenario price of:

£60 × (1 − 0.12) = £52.80

The scenario loss on 60 shares is:

60 × (£60 − £52.80) = £432 before costs.

The position that appeared to risk £90 at the visible stop risks £432 under the event scenario—2.4% of the £18,000 account.

If the trader wanted the 12% gap scenario to remain near £90, the theoretical event-sized position would be:

£90 ÷ £7.20 = 12 shares, rounded down.

This does not mean 12 shares cap loss at £90. A larger gap, trading halt, thin order book or further decline can produce a larger loss. It means the position was sized against a stated scenario rather than against a stop that may not trade.

Our position-sizing guide covers the unit calculation for ordinary trades.

Understanding the options-implied move

Traders sometimes estimate the market's expected event range from at-the-money option prices. A rough convention uses the cost of an at-the-money straddle—one call plus one put—to infer a move over the option's remaining life.

If a share is £60 and the relevant straddle costs £6, the premium is 10% of the share price. That does not mean the stock cannot move more than 10%, nor does it predict direction. It reflects option pricing, time remaining, interest, dividends, supply, demand and implied volatility.

Important limitations:

• bid-ask spreads can make the estimate noisy;
• the option may cover days beyond the earnings release;
• implied volatility can be expensive without predicting the realised move exactly;
• jumps can exceed the implied range; and
• buying both options can still lose if the realised move is too small relative to premium.

Use the implied move as one scenario input, not a guaranteed boundary or a free trading signal.

Portfolio concentration changes the answer

Holding five shares from the same sector through earnings is not necessarily five independent risks. A warning about cloud demand, consumer spending or chip supply can affect several positions simultaneously.

One practical approach is to sum the loss from the same adverse scenario across correlated holdings. If the combined loss is unacceptable, reduce the cluster rather than treating each ticket in isolation.

This is especially important with leveraged products, where overnight gaps can also interact with margin requirements and forced liquidation.

Common mistakes

1. Sizing only to the visible stop. The market may reopen beyond it.
2. Treating the historical worst gap as a maximum. New information can produce a larger move.
3. Assuming an earnings beat means price rises. Expectations and guidance can dominate.
4. Treating the implied move as a hard boundary. It is a price-derived estimate, not a limit.
5. Holding several correlated event positions. Portfolio risk can be much larger than ticket risk.
6. Using a stop-limit as guaranteed protection. It may not fill after a gap.
7. Adding size just before the release. Liquidity and spread can worsen near the close.
8. Ignoring currency and leverage. A foreign or margined position adds another risk channel.
9. Calling a hedge risk-free. Options have premium, volatility and execution risk.

Practical checklist

• Earnings date and before/after-market timing are confirmed from a primary source.
• Conference-call timing is included.
• Direct, derivative and correlated exposure are combined.
• Several adverse and favourable gap scenarios are calculated.
• Historical and implied moves are treated as references, not limits.
• Position size is checked against the event scenario.
• Stop-market and stop-limit behaviour after a gap is understood.
• Spread, slippage, fees, currency and leverage are considered.
• Exit, reduce, hold or hedge decision is recorded before the close.
• The maximum portfolio event loss is tolerable without forced decisions.

The Money Man View

Earnings risk is a sizing problem before it is a forecasting problem. Direction is difficult to predict because price reacts to expectations, guidance and positioning rather than the headline alone. A robust plan confirms the schedule, models several gaps, measures correlated exposure and sizes for an adverse scenario that can bypass the stop. Skipping the event is also a valid trading decision.

Educational risk disclosure: Earnings releases can cause losses larger than planned, and orders may execute far from their triggers. Options and leveraged products introduce additional risks. The prices and percentages above are hypothetical examples, not recommendations. This article was prepared with AI-assisted research and writing under The Money Man editorial process.