AI coach

Ask about your trading. Get answers from your own journal.

The coach reads your analytics, not the internet. Every answer separates what happened from what it might mean, and tells you when there isn't enough data to say.

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AI coach

Sample data

Do I trade better in London or New York?

Observed

London: 23 trades, 60.9% win rate, +0.80R average, +$5,120.00 net
New York: 19 trades, 42.1% win rate, −0.16R average, −$968.50 net

What it may mean

London has been your strongest session by average R. With 19 trades in the smaller group, treat this as a preliminary pattern, not a guarantee.

Suggestion

Review what differs in your New York trades—setup quality, risk size, or how you felt before entry.

Data used: comparison by session

Ask anything about your trades

Questions traders ask it.

A few examples. Ask in your own words; the coach works out which parts of your journal to look at.

“Do I trade better in London or New York?”
“Which setup has my best average R?”
“Am I risking more after a losing trade?”
“Which rules do I break most, and what does it cost me?”
“What was different about my best week this month?”
“Is my win rate on gold improving?”

How an answer is built

Every answer shows its working.

1
It looks up your data
The coach reads your results, behaviour warnings, rules and reviews through read-only tools. It can't change anything.
2
It separates fact from opinion
Answers are laid out as what was observed, what it may mean, and a suggestion to try.
3
It checks every number
Figures in the answer are traced back to the data it used. Anything that can't be traced is flagged to you.

Limits, by design

What the coach won't do.

No buy or sell signals, and no predictions about where price is going
No answers from other traders' data: only your own journal
No confident claims from a handful of trades: small samples are called out
No hidden numbers: the data behind each answer is listed

Always available

Works even without AI.

If the AI model is unavailable, the coach answers from Tradeslo's rules engine instead
Those answers are clearly labelled as not AI-generated
Weekly reviews can include an AI summary, kept only when every figure matches

Where it helps

Built for the questions a good mentor would ask.

Your best conditions

Which sessions, instruments, setups and hours give you the best results, with how sure that is.

Your costly habits

Where revenge trades, overtrading or rising risk after losses have cost you, trade by trade.

Your plan in practice

Which rules you keep and break, and the difference in results between the two.

Turn your trading history into your edge.

Start with the trades you took this week. The patterns show up faster than you'd think.