AI trade analysis, after every trade.
Every trade reviewed by AI. Setup quality, execution, behavioral context, and what to fix. Auto-imported from your broker. On iOS and the web.
Highlights
Setup quality, scored against your strategy
Every trade is scored against your stated strategy. Was the setup in-edge or off-edge? Was the entry trigger valid? Was the chart context consistent with your rules? The score makes off-strategy trades immediately visible.
Execution, graded honestly
Did you enter on the plan or chase? Did you size correctly? Did you hold to the planned target or exit early on fear? Profit AI grades each execution dimension separately so the trader sees which part of the workflow needs work.
Behavioral context, named
Every trade carries the behavioral context at entry: time since last trade, last trade outcome, current daily P&L, current emotional state inferred from recent activity. Patterns the trader cannot see in real time become obvious in the review.
Overview
What is AI trade analysis?
AI trade analysis is the use of AI to review individual trades after execution. Not aggregate performance dashboards. Not generic charts of win rate by hour. A trade-by-trade post-mortem that scores setup quality, grades execution, surfaces behavioral context, and names specific things to fix. Profit AI runs this on every trade automatically.
How this is different from AI chart analysis
AI chart analysis is pre-trade. It reads the chart in front of you and writes a plan. AI trade analysis is post-trade. It reviews what you actually did once the trade closes. Both matter. Profit AI ships both layers in one app, and they connect: the chart analysis you ran before the trade is preserved and compared against the actual execution after the trade.
How AI trade analysis works in Profit AI
- Every trade is imported automatically from MT5, cTrader, TradeLocker, IBKR, Bybit, Binance, Coinbase, or by CSV from any other platform.
- The chart at entry is captured and analyzed: structure, levels, indicator context.
- The trade is scored against your strategy: in-strategy or off-strategy, setup match, risk-reward.
- Execution is graded: entry quality (planned vs chased), size discipline, exit quality (planned vs fear-based).
- Behavioral context is logged: time since last trade, last trade outcome, current daily P&L.
- A short AI review is produced for each trade with concrete next-action recommendations.
Why trade-level review is what closes the loop
Aggregate dashboards tell a trader they have a problem but not which specific habit caused it. Trade-level analysis names the habit on the specific trades it occurred. Most traders improve fastest not from reading another book but from reviewing twenty of their own trades with the right structure. AI trade analysis runs that structure on every trade, automatically.