Label mistakes so patterns become obvious
Traders often report that profitability improved only after tracking mistakes (not just P&L). This recipe forces a mistake tag on every trade and compiles a mistake leaderboard.
Create "Mistake Tagger". After every trade, require one primary mistake tag from a fixed taxonomy (or "no-mistake"). Store tags with trade outcomes and generate a weekly top-3 mistakes summary.
"I know my mistakes" is not the same as measuring them.
Checklist-first entries to reduce forced trades
Many traders report taking trades that "aren't really their setup" during quiet periods. This forces a short checklist before any order template is generated.
Turn each session into data
Traders frequently identify journaling and review as the missing link between effort and improvement. This recipe generates a structured daily journal prompt and captures key stats and behavioral tags.
Diagnose missing conversions and "flying blind" measurement fast
Use this when the numbers don't match: ad platforms over/under-report, GA4 looks off, CRM revenue doesn't reconcile, or privacy changes (ATT/cookie loss/consent) have degraded tracking. It produces a root-cause shortlist, a "what to trust" guidance note, and a prioritized fix plan.
Make GA4 usable by fixing event naming, parameters, and conversions
GA4 is event-based and flexible—but teams often ship messy event names, missing parameters, and inconsistent conversions. This recipe audits your event taxonomy and produces a clean naming standard, a conversion map, and a QA checklist.