Tags exist to keep review honest. When I rely only on memory or narrative, I tend to remember what fits the story I want to tell. Tagging interrupts that. It creates a factual layer that doesn’t argue with me and doesn’t forget.
In this system, tags are not commentary. They are classification. Their job is to make patterns visible over time, not to explain or justify individual trades.
Every trade carries a small set of required tags. These capture the essentials and ensure that no execution slips through review without context. At a minimum, each trade is tagged with:
- the playbook type being executed
- the stop and target structure used
- the base result of the trade
- my psychological state at the time of execution
These tags answer four simple questions: What was I trying to do? How was risk defined? How did it end? What state was I in while acting?
Beyond that, I use optional tags selectively. These exist to add clarity when something meaningful happened. Optional tags may capture:
- emotional or cognitive trigger states
- execution refinements such as early entry or late exit
- management decisions that altered the trade
- contextual conditions that influenced behavior or expectation
I use these sparingly and with intent. Precision matters more than volume. A few well chosen tags tracked consistently are far more useful than exhaustive labeling that blurs signal into noise.
Over time, tags turn subjective experience into something measurable. They show me which behaviors repeat, which states tend to precede mistakes, and which conditions support my best execution. This makes self awareness concrete rather than abstract.
Most importantly, tagging keeps review grounded. It ensures that integration is based on evidence rather than impression. When I sit down to reflect, I am not starting from opinion. I am starting from record.
Tagging Framework (per-trade rules, standardized tags, auto-filters).