Use self-reported context and observable trade behavior to investigate execution patterns—without turning a correlation into a diagnosis or causal claim.
Trade data can show observable behavior: position size changed after a loss, a session continued beyond a planned stop, or unplanned trades clustered in a time window. It cannot diagnose an emotion or prove why a decision occurred.
That distinction makes psychology tracking more useful and more honest.
Use short self-reported fields such as confidence, stress, focus, plan adherence, and a brief note. Apply the same scale consistently. The tag describes what you reported at the time; it is not a clinical measurement.
Questions that can be investigated include:
Show the supporting rows and comparison method. Avoid language such as “fear caused this trade” unless that is the trader's own note—and even then, keep cause and correlation separate.
One difficult session is an anecdote. A repeated pattern across a transparent sample is a stronger reason to investigate. Keep sample count, time range, account, and limitations beside the result.
A rule should describe an observable action. Examples include pausing after a defined loss threshold, avoiding an immediate size increase, or requiring a plan tag before entry. The correct rule depends on the user's own process and risk constraints.
At the next review, measure adherence before judging outcome. A rule can be followed during a losing period, and a broken rule can coincide with a profitable trade.
Trading analytics are not mental-health care. If trading behavior is causing distress, financial harm, or loss of control, stop trading and seek appropriate professional support.
TradeInsights combines journal context with historical trade analytics so users can investigate behavior and monitor explicit rules. It does not diagnose a psychological condition or guarantee improved returns.
This article is educational and is not medical, psychological, or financial advice.
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