Most traders review trades only when something painful happens. That is backwards. Trade review should be a scheduled process, not an emotional reaction to a bad loss.
Good trade review software helps turn scattered executions into evidence. It should show what you traded, why you traded it, how much you risked, whether you followed the plan, and what patterns are repeating.
What Trade Review Software Should Show
- R-multiples: results measured by risk, not just dollars.
- Average winner vs average loser: whether your payoff structure actually works.
- Setup performance: which types of trades are helping or hurting.
- Timing: whether certain hours or market conditions produce better outcomes.
- Behavior tags: FOMO, revenge trading, patience, clean execution, or rule breaks.
- Market context: whether the trade happened in a supportive or hostile regime.
The Weekly Review
The weekly review should answer a few simple questions: What worked? What failed? Did I follow my rules? Which mistake cost the most? What is the one rule I need to emphasize next week?
Without that loop, a trader can take hundreds of trades and keep learning the same lesson over and over.
Where AI Can Help
AI can summarize themes in the review: repeated mistakes, best setups, worst behaviors, and changes worth testing. It should not replace your accountability, but it can make the review faster and harder to ignore.
How MAC Terminal Helps
MAC Terminal connects trade journaling, review, R-multiple thinking, and AI-assisted coaching inside the same workspace used for market prep and scanning. The goal is a tighter feedback loop from plan to trade to review.