What an AI trading coach actually does
A trading coach reviews your past trades, finds the patterns that help and hurt your results, and recommends specific changes. The AI version does this from your real record: it reads every imported fill, measures things like win rate by setup and risk taken per position, and surfaces the recurring mistakes — oversizing, holding losers too long, trading at the hours where you bleed. Then you can ask it questions and it answers using your data, not generic advice.
Crypto-native and exchange-aware
This is the part most tools get wrong. TMM's coach reads your fills from all 10 connected exchanges across spot and futures, and it understands what it's looking at. It knows that a funding payment isn't a trading loss, that 20x leverage changes what a 3% move means, that a liquidation is a different event from a manual close, and that partial fills add up. Feedback that ignores funding and leverage is feedback for a market that doesn't exist.
A coach locked to one exchange can only see part of the account. TMM reads your Binance, Bybit and OKX activity together, so a leak on one venue does not hide behind gains on another.
AI coach vs. a plain ChatGPT prompt
You could paste trades into a general chatbot. The difference is structure and memory. The coach has your complete, parsed trade data — every fill, fee, and funding payment — plus your journal notes, and it remembers what you told it about how you trade. A one-off prompt has none of that. It can't see what you actually traded, it forgets last week, and it has no way to verify the numbers you describe. The coach reasons over the real record.
Who it's for
Active crypto traders who want a second read on their own behavior — especially futures and perp traders, where leverage and funding make small habits expensive. If you keep making the same mistake and can't see it, the coach's job is to name it.