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I lowered the win rate I need from 55% to 42% — by changing the average loss, not my hit rate

In options the winning side is capped by the contract. The losing side is the only one I set. So I stopped working on maximizing gains and went after the average loss.

Something confused me for a long time.

What "maximize the profit" is supposed to mean. Pick trades that pay more? Hold winners longer? Win more often?

Here is where I landed:

In my account there is exactly one number I can actually move: the average loss.

This is why, and how much difference it makes.


1. In options, one loss erases several wins

Leverage means each move is large. That is not only true when it goes your way.

A defined-risk spread is close to symmetric.

5-point-wide credit spread, 2.25 credit collected

  max profit  $225      (the credit is all there is)
  max loss    $275      (5.00 − 2.25)
  ─────────────────────────────────────
  wins erased by one max loss     1.22

When I buy a single option, that ratio changes completely.

a put bought at 16.40, expiring worthless      −$1,640
the winning position on the same day             +$238
  ─────────────────────────────────────
  wins erased by one total loss                    6.9

Seven wins to cover one loss. That is not a skill problem — it is the shape of the contract. A long option can lose the entire amount paid for it, and that amount is not the same size as what it pays when it works.

So before "how much can this make," I count "what is the worst case here." Once I know how many wins the worst case erases, whether to open it is usually decided.

2. Expectancy — a formula with four numbers

What a repeated trade leaves behind on average is its expectancy. Only four numbers go in.

expectancy = (win rate × average gain) − (loss rate × average loss)

For the credit spread above:

Win rateCalculationExpectancy per contract
60%0.60×225 − 0.40×275+$25
55%0.55×225 − 0.45×275$0 ← breakeven
50%0.50×225 − 0.50×275−$25

This trade needs 55% to break even. That is the breakeven win rate, and the calculation is one line (more).

breakeven win rate = average loss ÷ (average gain + average loss)
                   = 275 ÷ 500  =  55%

Here is what I had wrong for a long time. I treated that 55% as given. So I kept asking how to read the market well enough to clear it.

55% is not given. The average loss sets it.

3. ⭐ The contract sets the winning side; I set the losing side

If one thing survives from this post, this is it.

How far it can goWho decides
Average gain$225 — the credit is the ceilingThe contract. I cannot raise it
Average losscan reach $275⭐ I do. I can leave before it gets there

On a credit spread the upside is walled off. Collect 2.25 and the best possible outcome is $225. If 90% of that is already earned, the remaining room is $22 — there is almost nothing left to "maximize."

The loss side is different. It can reach $275, but whether it gets there is mine to decide. Hold it to expiry and the market decides; if I close early, I decide.

So "maximize the gain" is mostly not an available choice, and "minimize the loss" is available every day.

4. Which is why the breakeven win rate drops

Lower the average loss and the breakeven win rate falls with it. Same trade, same credit — a different bar to clear.

Average lossHowBreakeven win rateWins erased by one loss
$275held to expiry = max loss55.0%1.22
$165cut at 60% of max loss42.3%0.73
$110cut at 40% of max loss32.8%0.49

55% became 42%.

I did not get better at reading the tape. I lowered the line I have to clear — and that line moves with a single working order, whether my forecasting is good or not.

raising the win rate from 55% to 60%     months of validation, with no way to know in advance
cutting the average loss $275 → $165     a resting stop order, working today

Both raise expectancy. One of them is in my hands and one is not.

⚠️ A stop sets the level I am aiming at, not the fill. A gap or slippage can land past it, and some brokers will not accept a stop on a multi-leg position at all. $165 is a target, not a guarantee.

5. ⚠️ It is not free — cutting also lowers the win rate

Leaving this out would make the post a lie.

A tighter stop also closes the trades that would have come back. So the average loss is not the only thing that falls — the win rate falls too.

Which makes the real question:

Does the average loss fall by more than the win rate does?

The margin turns out to be wider than I expected. Taking 60% win rate, held to expiry as the baseline (expectancy +$25) and cutting at $165 instead:

Win rate after cuttingExpectancy per contract
60.0% (no drop)+$69
55.0%+$49.5
50.0%+$30
48.7%+$25← matches the baseline here
45.0%+$10.5
40.0%−$9a drop this large, and holding is better

The win rate can fall 11.3 points — from 60% to 48.7% — before cutting stops beating the baseline.

⚠️ That is arithmetic, not something I have measured in my own account. How many points the win rate actually drops when I cut is a question my own records have to answer, and I do not have the sample yet. When I have it, I will publish it whichever way it comes out.

6. What actually happened in my record

📌 Dated observation. One day, one exit. Read it as a record, not as evidence.

Day 5 is where this calculation stopped being arithmetic. Six credit spreads, closed in one action before expiry.

had I left it alone (expiry settlement)     −$1,242
theoretical maximum loss                    −$1,650
actual (cut at 11:51)                         −$659
──────────────────────────────────────────────────
loss avoided by cutting                     about $580

I had the direction wrong that day and I broke four rules. One position out of eight made money. But the size of the loss was mine. It was the only number in my hands that session.

That there is still one thing to decide on a losing day — that is the whole post.

And on the same day, what the gain side taught me

I bought the same option twice and got opposite results.

06:54  @16.40  →  9.20   loss
08:58  @ 6.80  →  9.20   gain

Same contract, same exit price. The only variable was what I paid.

So raising the average gain was not about holding longer either. It was the entry price — and the entry price is a question of which setup, not of squeezing more out of one.

7. "I could have made more" and "I did it wrong" are different cells

On Day 4 I left $600 behind by not selling at the price I had planned. I filed it under mistakes that day.

Then, three minutes after I closed it, that position gave up 40% of its value. Sitting there waiting for the top could have caught exactly that.

$600 was "I could have made more," not "I did it wrong." If I merge the two cells, next time I sit at the top waiting — which is precisely the behavior that enlarges the average loss.

Making maximization the goal puts it in conflict with minimizing losses, because staying near the high means staying exposed to the retracement for longer.

8. So this is the order I go in

This is the order I use for myself. It is my sequence, not a recommendation.

①  what is the maximum loss here      →  how many wins does it erase
②  what is the breakeven win rate     →  avg loss ÷ (avg gain + avg loss)
③  where is my stop                   →  how far does it push ② down
④  did I actually enter that stop     →  ⭐ this is where it leaks, every day

④ is the one that goes wrong most often. I wrote the same note on Day 4 and again on Day 5 — the level existed; the order did not.

A stop that lives in my head does not lower the average loss. A resting one does. Every manual exit creates one more place for "just a little longer" to get in, and that is what turns $165 back into $275.

9. What I still do not know

  • How many points the win rate actually drops when I cut — whether it stays inside the 11.3-point margin in §5 is something only my own records answer. The sample is not there yet
  • Where the stop belongs — 60% of max loss is an illustration, not a validated level
  • Whether it differs by structure — a credit spread and a long single-leg option have completely different asymmetry. No reason one stop rule fits both

Closing

When I started with options I looked at how much a trade could make. The order has reversed.

The size of the winning cell arrives already set by the contract. The only cell I set is the losing one. So that is the one I work on.

Most of the effort I spent on maximizing gains went into pushing a ceiling that was already there. The other side is capped too — but the cap is not the point. That side is still mine to set, and it is open every day.


※ This records the calculation I use and where it comes from. It is not a recommendation of any trading method or security. The P&L figures here are illustrations of the arithmetic. Options can lose the entire amount paid. An uncovered short position can lose more than the premium received; a defined-risk spread cannot. Every investment decision and its outcome belongs to the person who makes it.

How was this to follow?

Knowing where it got hard is what lets me fix the next one. No name, no email.

1 · very hard5 · very easy

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If this was useful

Why gamma, call walls, and put walls behave the way they do comes down to the structure of the options market. These books lay out that structure in order.

  • Strategic US Options Trading I: Fundamentals — Start here if options are new — from reading the chain
  • Strategic US Options Trading II: Strategies — When you want to actually place the order
  • Strategic US Options Trading III: Advanced Strategies — When you want cash flow in a sideways market
More about the books →교보문고 · 예스24 · 알라딘 · 리디북스

Earlier posts live on Tistory. I'm moving them here a few at a time. optiontrading.tistory.com

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