Warnings and Risk Alerts: Catch Small Trading Problems Before They Become Big Losses
How small drifts in a trading routine become large losses, and what Warnings & Risk Alerts in the AIOTA Trading Journal aim to do.
Strengths, Weaknesses and Blind Spots: What Your Trading Data Hides
How to find what to repeat, what to eliminate and what you do not yet know about your trading, using the AIOTA Trading Journal AI Coach.
Weekly Performance Review and Coach Message: Measure Progress Beyond Profit
How a weekly performance review, a personalized coach message and AI insights help you measure progress beyond profit.
AI Trading Coach: How Your Journal Becomes a Personal Mentor
What an AI trading coach does with your own trade history, and how AI Coach fits into the AIOTA Trading Journal.
Trade Events and Powerful Filtering: Audit Every Decision Inside a Trade
How reviewing the actions inside a trade and filtering your history quickly helps you audit decisions in the AIOTA Trading Journal.
Trade Log Replay Mode: Relive Every Trade Candle by Candle
How reviewing a trade candle by candle, instead of from memory, improves learning, and where Replay Mode fits in AIOTA Trading Journal.
Behavior and Re-entry Analysis: Spot Revenge Trading and Impulsive Re-entries
What revenge trading and impulsive re-entries look like in your data, and how to review them with the Behavior & Re-entry area.
Scoring Quality: Judge Your Trades by Process, Not Just Profit
Why a good trade can lose and a bad trade can win, and how Scoring Quality in the AIOTA Trading Journal supports process-based review.
Risk and Consistency Analytics: Does Your Trading Process Actually Hold?
Why consistency of risk and routine matters more than single results, and where Risk & Consistency fits in the AIOTA Trading Journal.
Best and Worst Analysis: Find What to Repeat and What to Stop
How to learn from your strongest and weakest results, and where the Best / Worst area of the AIOTA Trading Journal fits.