The most common trading journal mistakes are inconsistent logging, recording only winners, tracking P&L without context, ignoring emotions, overcomplicating the template, and skipping regular reviews:
Sporadic journaling produces a dataset that is essentially worthless for pattern recognition because analytics require a continuous dataset.
Only journaling some trades, typically winners, creates a skewed dataset that leads to false conclusions.
A list of dollar amounts is not a journal, it is a list of outcomes with zero context that cannot reveal which setups work, which ones bleed money, or whether you cut winners early.
Tracking too many variables makes journaling burdensome and unsustainable, and without weekly or monthly reviews, the same blind spots keep draining the account.