Four fills, one idea: group them or your stats lie
A broker file records legs. Your brain traded a structure. Something has to reconcile the two.
You sold a straddle. The CSV shows four rows. If your analytics treat each row as an independent trade, your win rate, hold time and average trade size are all describing something that never happened.
What grouping needs
Same underlying, same expiry, overlapping time window, and your confirmation. Auto-detection can propose the group; a human should accept it, because only the human knows whether the fourth leg was part of the plan.
Repairs are new structures
Adding a leg at 1pm to defend a morning short is a decision, and it deserves its own tag. Folding it silently into the original trade rewrites what you planned at 9:20.
Book the P&L when the structure is flat
Not when the first leg exits. If you want to show a live structure mid-session, label it as mark-to-market so it never gets mixed into closed-trade statistics.
| View | Trades | Win rate | Avg hold |
|---|---|---|---|
| Leg level | 4 | 50% | 2h 10m |
| Strategy level | 1 | 0% | 5h 45m |
One losing short straddle. Leg-level counting invented two wins. Illustrative journal data, not a live book and not a performance claim.
Key takeaways
- Confirm auto-grouped legs before trusting the analytics.
- Tag defensive adjustments as repairs.
- Close strategy P&L only when the whole structure is flat.
Not advice, not a call. NiyataBook is a personal trading journal, not a SEBI-registered investment adviser or research analyst. Everything above looks backwards at trades that already closed. What happened in a book does not promise what happens next, and F&O can take a year’s savings in a week.