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Hedging with options and time stops

Lesson 20 · about 9 min

Two tools finish the management kit. The first is a brief, deliberately limited note on using options to cap the downside of a stock position through an event. The second is the time stop: exiting a trade that has not done what it was supposed to do in the time it was supposed to do it. Both are used less than the stop and the trail, and both prevent a specific kind of slow loss.

Options as a hedge, briefly

If you hold a stock position through earnings and want to keep the upside while capping the gap risk, a put option does that. You buy the right to sell the stock at a fixed price (the strike) until a fixed date (expiry). If the stock gaps down through the strike, the put gains roughly what the stock loses below it.

The cost is the premium, and around earnings the premium is expensive precisely because everyone wants the same protection. That is the trade-off in one line: the hedge converts an unknown, possibly large loss into a known, moderate cost.

Element Example
Position 100 shares at $66, entry $60, earnings tomorrow
Hedge Buy 1 put, $63 strike, expiring next week
Premium $2.20 per share, so $220
Worst case Stock at $50 after the gap: shares lose $1,600, put gains about $1,300; net loss about $300 plus the $220 premium
Stock rallies Put expires worthless; you keep the upside minus $220

Rules for using it in this playbook:

  1. Only on positions you would otherwise have to cut under the earnings framework. If reducing the size gets the worst case under 1% of the account, reduce the size; it is cheaper.
  2. Strike at or just below the current price, expiry the week after the report. Cheaper far-out-of-the-money puts protect against disasters only, which is not the risk you are managing.
  3. Compute the premium in R. A $220 premium on a trade with $300 initial risk is 0.73R. If the trade is up 2R, spending 0.73R to hold the remainder is a decision you can weigh; on a trade up 0.5R, it is a losing trade before the report.
  4. Sell or let the put expire the day after the report. Its job is done; holding it further bleeds premium.

This is as far as the playbook goes with options. The options fundamentals course covers pricing, Greeks, and why implied volatility collapses after earnings, all of which matter if you use this more than occasionally.

Key idea: A put converts an unknown gap loss into a known premium. Use it only when cutting size will not do, size the strike near the money, price the premium in R, and close it after the event.

Time stops

A price stop protects you from being wrong about direction. A time stop protects you from being wrong about timing, which costs money in a quieter way: capital sitting in a trade that is going nowhere is capital not in the trade that would have worked.

Each setup has an expected window for its first move. If the trade has not reached at least 1R within that window, exit at the market regardless of whether the stop is hit.

Setup Time stop Reasoning
Pullback to rising EMA 5 trading days The resumption should be quick; a stalled pullback is a topping process
Breakout from a base 3 trading days Breakouts that do not move immediately usually fail
Failed breakdown/reclaim 5 trading days The short-covering fuel burns fast
Gap-and-hold 5 trading days The drift should be visible within a week
Mean reversion 8 trading days Fixed by the setup's rules
Day:   1    2    3    4    5    6
      ___  ___  ___  ___  ___
     |   ||   ||   ||   ||   |   <- five flat days, never reached 1R
     |___||___||___||___||___|
                            ^ time stop: exit here, not at the price stop

The time stop typically closes the trade for a small loss or small gain. That is the point. A trade that has gone sideways for a week has, in most journals, a worse forward expectancy than a fresh setup, and it is occupying a slot in the portfolio heat budget (Module 6).

Rules for the time stop

  • Count from the entry day, not the trigger day.
  • Measure at the close of the last day in the window. If the trade closes at 0.8R after the window, exit next morning.
  • Do not extend it because the chart "still looks good". If it still looks good after the exit, it will produce a new trigger and you can re-enter with a fresh stop and a fresh window.
  • A partial already taken cancels the time stop. The remainder is on a trail and has its own exit.

Why traders skip time stops

Because nothing is obviously wrong. The stock has not broken structure, the stop is not hit, the setup is still intact. Exiting feels premature. But swing trading is a game of turns: the account can only be in so many trades at once, and each slot occupied by a sleeper is a slot not available for the next setup. Over a year, a trader who cycles out of stalled trades into fresh ones makes materially more turns than one who waits, and turns are where expectancy compounds.

Try it: Go through your last twenty trades and, for each, record how many days it took to reach 1R (or note that it never did). Compare against the time-stop table. Count how many trades that never reached 1R within the window eventually stopped out at −1R anyway. That count is the cost of not having a time stop.

Recap

  • A near-the-money put through earnings caps gap risk at a known premium; use it only when cutting size is not enough, and price the premium in R.
  • Close the hedge the day after the event; the options course covers the rest.
  • Exit any trade that has not reached 1R within its setup's window: 3 days for breakouts, 5 for pullbacks, reclaims and gaps, 8 for mean reversion.
  • Do not extend a time stop because the chart still looks fine; a fresh trigger can re-enter.
  • Turns compound; stalled trades block them.

See it drawn

Original diagrams for the ideas on this page. Illustrative, not real market data.

The spread of outcomes behind an expectancyA histogram of forty trades: a tall block of small losses on the left, a low spread of larger wins on the right, and a line marking the average outcome.NUMBER OF TRADES051024 LOSSES, AVG −$20016 WINS, AVG +$600EXPECTANCY +$120−$400−$200$0+$200+$400+$600+$800PROFIT OR LOSS PER TRADEexpectancy = (40% × $600) − (60% × $200) = +$120 per trade
Expectancy: the average trade. Forty trades sorted by outcome: 24 small losses and 16 larger wins. Weighting each side by how often it happens gives the average result per trade, marked here by the dashed line at +$120.

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