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Analyses/AI Trade Review in the TIC App: What It Does, What It Cannot Do, and Who It Is For
App Feature6 août 20265 min read

AI Trade Review in the TIC App: What It Does, What It Cannot Do, and Who It Is For

AI Trade Review in the TIC App: What It Does, What It Cannot Do, and Who It Is For
Cet article est actuellement disponible en anglais. La traduction arrive bientôt.

AI Trade Review in the TIC app is built to do one practical thing: show you what your own journal data says about your habits. It does not predict the next market move, and it does not replace risk management. It studies the last 30, 60, or 90 days of your logged trades and turns them into structured coaching.

What does AI Trade Review actually do?

Inside Trading Journal → Analytics, you can request an AI review. The system first prepares the stats from your journal, then generates a headline insight and practical recommendations based on those numbers.

That means the feature is analysing your behaviour, not inventing a market forecast. It can surface patterns such as weaker performance on certain days, lower win rates on specific assets, or repeated mistakes tied to mood and tags.

What does the feature look at?

The important guardrail is that the maths comes first. The model is not guessing your win rate or average loss. It receives structured statistics from your journal so the feedback stays anchored to facts.

Area reviewedWhat the feature checks
Time windowYour last 30, 60, or 90 days
Trade countWhether there is enough data to review honestly
PerformanceWin rate, total pips, average win, average loss
BehaviourBest and worst day, asset, mood, or tag pattern
OutputOne headline insight plus three recommendations

If you have fewer than five logged trades, the feature should not pretend it knows you. That is a good guardrail, not a limitation.

What can AI Trade Review not do?

It cannot tell you whether your next trade will win. It cannot fix a bad process on its own. And it should not be treated as a buy or sell signal.

That is the honest difference between useful AI and noisy AI branding. TIC uses the feature for reflection, not prediction. If your journal is incomplete or careless, the review quality will be limited by that input.

Who is the feature for?

It is for traders who already log their trades and want feedback beyond a raw chart. A beginner with 20 to 50 trades can catch repeated execution errors early. An active gold or forex trader can see which assets and conditions actually suit them best.

Example: suppose you logged 42 trades over 60 days and the review finds that your gold trades win 58% of the time, your EUR/USD trades win only 31%, and your average losing trade on anxious days is 1.8 times larger than on confident days. That gives you a real action plan: trade fewer weak assets, cut size when emotional, and focus on the setup that actually works.

Which plan includes AI Trade Review?

AI Trade Review is available on Pro and Elite. Free users can still build the foundation with the paper-trading simulator and the smart trading journal. Elite users benefit even more when richer synced journal data is available.

The TIC angle is simple: AI should sharpen discipline, not manufacture certainty. If you want to see the wider thinking behind that approach, explore /ai-trading.

Risk notice:

trading carries high risk and you may lose your capital; past performance does not guarantee future results; educational only, not investment advice.

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