How often should I review my options trades?

Monthly is the practical interval. A single trade tells you almost nothing because its outcome was largely set by the delta you chose, while an annual review comes too late to change anything. A month covers a full 30–45 DTE cycle and enough closed positions for the numbers to mean something.

Which metrics matter most for option sellers?

Expectancy per trade, average win versus average loss, annualized return on capital, and maximum drawdown. Win rate on its own is misleading for premium selling, because the strategy is designed to win often and lose large.

Why is my assignment rate showing 0%?

Almost always a data problem rather than a trading result. Broker exports frequently record an assignment as a closing buy at price zero on the expiry date, which is indistinguishable from an expiration unless the separate assignments-and-exercises section is included in the export.

How do I know if a losing trade was a bad trade?

Judge the decision, not the outcome. If the position met your screening criteria, was sized within your limits, and was managed according to your rules, it was a good trade that lost. If any of those were violated, it was a bad trade — whether or not it made money.

What should I break my monthly results down by?

By ticker, by strategy, by days to expiration, and by outcome type (expired, closed early, rolled, assigned). Aggregate P&L hides whether a good month came from consistent performance or from one fortunate position.

Can I run a monthly review in a spreadsheet?

Yes, and many sellers start there. The practical limit is maintenance: rolls, partial closes, and assignments have to be linked by hand, and reviews tend to stop once the hour is spent reconstructing data rather than analysing it — see spreadsheet vs. dedicated journal.

What should I change after a review?

One thing. A review that produces six changes tests none of them, because you cannot attribute next month's result to any single adjustment. Pick the change with the clearest evidence behind it, write down how you will know whether it worked, and check it at the next review.

Table of contents

BlogPublished August 28, 2026 · 18 min read

How to Run a Monthly Options Trading Review

Illustration of reviewing progress metrics, representing a monthly options trading review — One hour a month turns a pile of trades into the only feedback loop premium selling has.

A repeatable monthly review for option sellers: which numbers to pull, the metrics that actually matter, how to break results down by ticker and strategy, and the questions to answer each month.

Most option sellers know their account balance and almost nothing else. They can tell you roughly how the month went, and they cannot tell you which ticker cost them money, whether their win rate is improving, or how much of last year's profit came from a single lucky position.

That is not carelessness. Premium selling generates a lot of small events — opens, rolls, partial closes, assignments — and none of them individually feels worth analysing. The pattern only appears in aggregate, which means it only appears if someone deliberately aggregates it.

This guide is a repeatable monthly review: what to pull, which metrics actually inform decisions, how to slice results so the answers are actionable, and the five questions to answer before you close the file. Budget one hour. This is education, not investment advice.

You will learn which numbers matter beyond P&L — expectancy, annualized return on capital, and drawdown — how to break them down by ticker, strategy, and duration, and how to turn the findings into one concrete change for next month.

Why the monthly cadence works

Reviewing after every trade is noise: a single 30-delta put tells you nothing about your process, because the outcome was mostly determined by the delta you chose. Reviewing once a year is too late to change anything. A month is the interval where enough positions have closed to see a pattern, and few enough have opened that you can still correct course.

What a month gives you that a trade does not:

Enough closed positions for win rate and average win/loss to mean something
A full cycle of the standard 30–45 DTE expiration rhythm
Visibility on concentration — which names quietly dominated the book
A checkpoint before mistakes compound into a quarter

It also matters that the review is scheduled rather than triggered. Reviewing only after a bad month guarantees you study your failures and never your successes, which is how sellers end up unable to explain where their profit actually comes from.

Step 1 — pull the raw data

The review is worthless if the underlying data is incomplete, and the most common gap is not missing trades — it is missing lifecycle events. Rolls recorded as two unrelated trades, assignments filed as expirations, and partial closes counted as full ones will distort every metric that follows.

What the month's data must contain:

Every open and close, with premium as a total amount and commissions included
Rolls linked as chains, not as isolated buy and sell rows
Assignments identified as assignments, distinct from worthless expirations
Partial closes with the correct proportion of premium attributed
Collateral held per position, so return on capital is computable

If you import from a broker, this is where exports quietly lie. IBKR, for example, records an assignment in the trades section as a closing buy at price zero — indistinguishable from an expiration unless the second section of the export is included (the IBKR Flex Query guide explains the fix). An assignment rate reading 0% is almost always a data problem, not a trading result.

Step 2 — the metrics that actually inform decisions

P&L answers "what happened" and nothing else. These five answer "why", which is the only kind of answer you can act on.

Metric	What it tells you	The decision it drives
Realised P&L	The month's actual result, closed positions only	None on its own — it is the input, not the insight
Win rate	How often positions closed profitably	Whether your strike selection matches your intended delta
Average win vs. average loss	The size asymmetry behind the win rate	Whether losses are being cut or allowed to run
Expectancy per trade	Win rate and sizes combined — the honest edge	Whether the strategy is profitable at all
Annualized return on capital	What the collateral actually earned, time-adjusted	Whether the capital is better deployed elsewhere
Max drawdown	The worst peak-to-trough decline in the period	Whether position sizing is honest about bad months

The core monthly metrics and what each one is for

The second and third rows have to be read together. A 90% win rate is meaningless in isolation — paired with an average loss five times the average win, it describes a strategy that loses money (expectancy vs. win rate). And annualized return on capital is what makes a $200 credit on $20,000 of collateral comparable to a $50 credit on $3,000: without it, the bigger number always looks better (return on capital explained).

Step 3 — slice the results

An aggregate number hides the finding. "Up $3,200 this month" could be forty consistent trades or thirty-nine break-evens and one lucky assignment that recovered. Breaking the same month down four ways is where the review earns its hour.

The four breakdowns worth running every month:

By ticker — which names paid, which cost, and which you keep returning to out of habit
By strategy — cash-secured puts vs. covered calls vs. spreads, compared on ROC, not dollars
By days to expiration — whether your 45 DTE trades really beat your weeklies
By outcome type — expired worthless, closed early, rolled, assigned

The by-ticker view is usually the most uncomfortable and the most useful. Almost every seller has one name they trade because it is familiar rather than because it performs, and it takes a sorted table to see it. The by-DTE view tests a belief most sellers hold without evidence — that their chosen duration is the right one. The outcome-type view tells you whether your early-close rule is actually being applied, or only admired.

Step 4 — five questions to answer in writing

Numbers describe; questions decide. Answer these in a few sentences each, in writing, so next month you can check whether you were right.

The monthly five:

Where did the profit actually come from — spread across the book, or concentrated in one or two positions?
Which trade lost the most, and was it a bad trade or simply a losing one?
Did I break any of my own rules — on size, on strikes, on cooling-off after a loss?
What did I hold that I would not open today at current prices?
What is the one change for next month — and how will I know if it worked?

Question two separates process from outcome and is the hardest to answer honestly: a well-screened, correctly sized position that lost money is not a mistake, and a reckless oversized one that won is not a success (trading psychology for option sellers). Question five is deliberately singular — a review that produces six changes produces none, because nothing gets tested.

Step 5 — check the risks that do not show up in P&L

A profitable month can still be a warning. The last part of the review looks forward at exposure rather than backward at results.

Forward-looking checks:

Total collateral deployed vs. your stated cap — has it crept up?
Sector concentration — how much of the book moves together?
Expiration clustering — are too many positions landing on one date?
Earnings and ex-dividend dates falling inside open expirations
The full-assignment test — if everything were assigned at once, could you fund it?

Size creep is the classic finding here, because it happens gradually and only during good months. Concentration is the other one: a book of positions that felt independent when opened often turns out to be a single bet, which only becomes visible in a selloff (correlation and sector concentration, position sizing).

Making it a habit that survives

The reason most reviews stop is not lack of discipline — it is that the first hour is spent reconstructing data instead of analysing it. If the review requires assembling a spreadsheet from broker statements, it will happen twice and then quietly not happen again.

What keeps it going:

Book it — a fixed date, typically just after monthly expiration
Keep the data continuously, so the review starts at analysis, not at cleanup
Use the same template every month, so results are comparable over time
Write the conclusions down — one paragraph, one change
Re-read last month's conclusion first, before looking at this month's numbers

That final step is what converts a set of monthly snapshots into a feedback loop. Reading your previous conclusion before seeing the new data forces an honest verdict on whether the change you made actually did anything — the discipline that separates a journal from a diary (why keep an options trading journal, spreadsheet vs. dedicated journal).

Conclusion: the only feedback loop you have

Key takeaways:

A month is the right interval — long enough for signal, short enough to correct
Verify the data first: mislabelled assignments and unlinked rolls distort everything
Win rate is meaningless without average win vs. average loss and expectancy
Break the month down by ticker, strategy, DTE, and outcome type
Separate bad trades from losing trades — they are not the same
End with exactly one change, and check it next month

Educational only — not personal financial advice. More in the blog · Request access.

Frequently asked questions

How often should I review my options trades?: Monthly is the practical interval. A single trade tells you almost nothing because its outcome was largely set by the delta you chose, while an annual review comes too late to change anything. A month covers a full 30–45 DTE cycle and enough closed positions for the numbers to mean something.
Which metrics matter most for option sellers?: Expectancy per trade, average win versus average loss, annualized return on capital, and maximum drawdown. Win rate on its own is misleading for premium selling, because the strategy is designed to win often and lose large.
Why is my assignment rate showing 0%?: Almost always a data problem rather than a trading result. Broker exports frequently record an assignment as a closing buy at price zero on the expiry date, which is indistinguishable from an expiration unless the separate assignments-and-exercises section is included in the export.
How do I know if a losing trade was a bad trade?: Judge the decision, not the outcome. If the position met your screening criteria, was sized within your limits, and was managed according to your rules, it was a good trade that lost. If any of those were violated, it was a bad trade — whether or not it made money.
What should I break my monthly results down by?: By ticker, by strategy, by days to expiration, and by outcome type (expired, closed early, rolled, assigned). Aggregate P&L hides whether a good month came from consistent performance or from one fortunate position.
Can I run a monthly review in a spreadsheet?: Yes, and many sellers start there. The practical limit is maintenance: rolls, partial closes, and assignments have to be linked by hand, and reviews tend to stop once the hour is spent reconstructing data rather than analysing it — see spreadsheet vs. dedicated journal.
What should I change after a review?: One thing. A review that produces six changes tests none of them, because you cannot attribute next month's result to any single adjustment. Pick the change with the clearest evidence behind it, write down how you will know whether it worked, and check it at the next review.

From blog to product

Request access to the private beta and we will email you after review.

Request access

Trading Psychology for Option Sellers: The Biases That Cost You
Key takeaway: Trading psychology for premium sellers: why a 90% win rate distorts judgement, the traps of revenge trading and sunk cost, discipline in drawdown, and rules that survive stress.
Read more
Covered Call ETFs vs. Selling Your Own Calls
Key takeaway: Covered call ETFs versus selling your own covered calls: how the funds work, what the fees and capped upside really cost, tax and control differences, and who each option actually suits.
Read more
How to Choose Stocks for the Wheel Strategy and Cash-Secured Puts
Key takeaway: How to screen stocks for the wheel strategy and cash-secured puts: the willing-to-own test, liquidity and price filters, IV without the trap, event risk, and a repeatable checklist.
Read more