Account Losses: Review Exposure, Re-entry and Trading Decisions

Educational guide. Examples and named scenarios are illustrative, not verified customer results or research findings. Journal patterns describe recorded history; they do not establish causation or predict returns.

Review the decisions behind your results

Losses can reflect market conditions, exposure, costs, execution or a strategy that has not worked in the recorded sample. Review the contributing trades before attributing a loss to emotion. A loss by itself is not evidence of poor discipline.

Start with the evidence

Import or record your trades, then check net realised P&L, average winners and losers, fees, timestamps and sample sizes. Open positions and practice results should be read separately. A high win rate can still accompany a loss.

Review one practical focus

CybillAI offers automatic saved-data tags, Discipline Review, weekly review tools and progress tracking. Behaviour tags are candidates to investigate, not proof of a mistake. Choose one focus and compare subsequent recorded outcomes with its starting baseline.

Understand the plan and data limits

The Free plan allows up to 30 saved trades. Pro is US$37/month or US$360/year and adds AI coaching conversations, visual playbooks, performance comparisons and backtesting/replay practice. TradingView webhook analysis requires Pro + Realtime Trade Analysis. Broker and market-data coverage varies. Historical R requires the original risk in the reporting currency.

See current pricing · Read the user guide