How to Analyze Your Options Trading Performance
You know your overall P&L. But do you know which strategies actually have edge? Here's how to break down your performance and find out.
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The problem
Why this is harder than it looks
Knowing your total P&L tells you almost nothing about where to improve. Did your iron condors make money while your strangles lost it? Are you better at certain underlyings? Does your DTE selection matter? Answering these questions requires strategy-level data — which most brokers and journals don't provide. You end up with a spreadsheet that shows trades chronologically instead of analytically, making it nearly impossible to spot patterns that would actually change your trading.
Looking only at total P&L without breaking it down by strategy — you can't improve what you can't measure
Making changes based on too few trades — aim for at least 20-30 occurrences of a strategy before drawing conclusions
Ignoring the impact of rolls and adjustments on your true P&L
Analyzing fills instead of strategies — fill-level data is noise for multi-leg options traders
Step by step
Here's how to do it
Get your trades into a strategy-aware journal
Your analysis is only as good as your data organization. Import your broker CSV into a journal that groups multi-leg strategies automatically. If your iron condor shows up as four separate fills, your analysis will be meaningless.
Break down P&L by strategy type
Filter your performance by strategy — iron condors vs. strangles vs. verticals vs. wheels. Some strategies will be consistently profitable while others may be dragging your portfolio down. This is the most important view most traders never see.
Don't panic if one strategy shows losses. Small sample sizes need more data before you make changes.
Analyze performance by underlying
Some stocks suit certain strategies better than others. Check your win rate and average P&L per underlying. You might find that your iron condors work great on SPY but lose money on individual names.
Evaluate your DTE and timing
Look at how expiration timing affects your results. Are 45-DTE positions more profitable than 30-DTE for your strategy? Does opening on a specific day of the week matter? These patterns emerge when you have enough data.
Track win rate vs. average P&L
A high win rate with small wins and large losses is worse than a lower win rate with big wins and small losses. Look at both metrics together. Your expected value per trade is what matters.
Review roll and adjustment impact
Did your adjustments actually help? Compare the P&L of positions you adjusted vs. those you let expire. Sometimes the best adjustment is no adjustment.
Watch out
Common mistakes to avoid
Looking only at total P&L without breaking it down by strategy — you can't improve what you can't measure
Making changes based on too few trades — aim for at least 20-30 occurrences of a strategy before drawing conclusions
Ignoring the impact of rolls and adjustments on your true P&L
Analyzing fills instead of strategies — fill-level data is noise for multi-leg options traders
The easier way
How OptionsEdge handles this for you
Dashboard analytics break down P&L by strategy type — see which strategies have real edge
Performance by underlying shows which stocks work best for each strategy
Win rate, average P&L, and total return calculated at the strategy level, not fill level
Roll and adjustment tracking shows how your management decisions impact performance
Filter analytics by date range, strategy type, underlying, and account
Keep reading
Related guides
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