Make the evidence visible
- Example setup: DAX open 09:00 · +€1,840 over 4 weeks
- Wednesday in this sample · −€127 average per trade
- Rule-break rate: 18% (14 of 76 trades)
- Check the sample size before interpreting a pattern
Your AI trading journal
Stop guessing. See in your numbers what actually works.
KaiTrader brings your trades, rule compliance and personal reflections together. Understand your past decisions and build a repeatable review routine, with AI reviews when you choose.
Make time to review your trades.
The trade ends. The learning continues. Follow the same decisions from the journal to the review, then into a focused practice period.
Explore the complete demo dataset without signing up.
- 1
See the whole picture
Dashboard · 1 min
- 2
Understand the decision
Trade journal · 1 min
- 3
Ask a useful question
Ask your journal · 1 min
- 4
Make the process explicit
Trading plan · 1 min
- 5
Practice with a focus
Measured coaching · 1 min
- 6
Close the review loop
Session review · 1 min
The problem
After every losing trade you ask yourself …
- Did I enter too early?
- Was the setup bad?
- Did I break my plan?
- Was it emotions?
- Was the stop just placed badly?
- Or was it simply a normal loss?
Without data, the answer is always a gut feeling. KaiTrader turns every trade into a data point, and 100 trades into a clear picture of what you actually need to work on.
What the journal changes for you
Turn scattered trades into structured feedback.
More trades give you more experience. But progress only starts when every trade becomes feedback, systematically, every week.
Without a journal
Stagnation
Good days, bad days, and every time you wonder: was it the setup, the stop, or me?
With KaiTrader
A repeatable review routine
Review weekday patternsTrack plan adherenceCompare setup samples
Illustration of a review process, not a measured performance curve or a promised result.
Where are you right now?
The right lever for every type of trader
Beginner, breakeven, profitable: every phase has its own bottlenecks. KaiTrader shows you yours.
Phase 1
Beginner
“I keep losing, is that normal? Should I switch strategies?”
- Build a habit of recording decisions and reviewing them
- Separate recorded rule breaches from losing outcomes
- Structures your first 100 trades for real learning
- The discipline score as a weekly anchor
Phase 2
Breakeven trader
“Green one week, red the next, where do my profits actually go?”
- Compare historical results within your rules and outside them
- Examine recurring patterns and their sample sizes
- Compare setups using consistent historical measures
- Uncovers weak weekdays and times of day
Phase 3
Profitable
“It's working, but where am I leaving performance on the table?”
- Compare recent results with your earlier history
- Review exits and risk using the data recorded for each trade
- Calibrates your drawdown expectations against your own history
- Weekday analysis: where do you lose systematically?
Features
Everything you need to see what holds your trading back and improve it deliberately
MT4/MT5 and CSV imports
Bring account history into one journal, with duplicate detection and a reviewable import history. An MT5 publisher reduces repeated report uploads.
Discipline score
Track how consistently you follow your own plan. Compare execution quality alongside financial outcomes.
Mistake tags
Connect recurring behaviors to recorded trades. Review their frequency, sample sizes and historical results.
AI weekly review
Request a written retrospective of your week. KaiTrader AI also includes individual trade reflections; usage depends on your plan.
Trading plan rules
Write down your limits and compare trades with detected rule breaches. Keep the result separate from whether the process followed your plan.
Calendar and performance analytics
Explore P&L, drawdowns, win rate and weekday patterns. Filter by date and account to examine the history that matters to you.
Illustrative product examples
From a recorded pattern to a reviewable question
These static examples use a separate, fictional 76-trade dataset. Open the live demo to explore the current TradingCode dataset and its calculated analytics.
Choose one process to examine
- Review the notes behind the Wednesday trades
- Compare setup samples over the same period
- Check whether mood was recorded consistently
- Define a process goal and compare the next observation period
Compare execution and outcome
- Within the rules: 62 trades · +€2,840 · profit factor 2.1
- Rule breaks: 14 trades · −€1,200 · profit factor 0.4
These are historical subsets. Removing one group does not show what a trader would have earned by behaving differently.
Illustrative interface content, not live AI output or customer results. Historical comparisons do not establish causation or predict future performance.
A practical learning routine
3
steps: record, review, practice.
Bring the trade, your reasoning and the follow-up together. KaiTrader helps you examine recorded decisions and track your own process over time. It does not promise profits or provide trading signals.
A journal for reflection, grounded in your own history.
Who's behind it
By traders, for traders
KaiTrader is not a side project. It's built by the TradingCode team for exactly the problems we see in our own trading.
Richard Cohen
Institutional trader · Fund manager
Brings years of experience from institutional trading and fund management, and the goal of making professional knowledge accessible to private traders.
Thomas Dahlmann
Trader · Bestselling author
Over 20 years of market experience and more than one million finance books sold. Clear explanations instead of jargon, known from Wirtschaftswoche, among others.
Mario Peters
Programmer · Algo trader
Builds automated trading systems on MetaTrader and puts KaiTrader through its paces in his own trading, week after week.
More from TradingCode
KaiTrader is part of your trading toolkit
Practical course
The most straightforward path to the markets: proven strategies for beginners and advanced traders, over 5,000 participants. In German.
To the courseTrading signals
Concrete setups via Telegram, with entry, stop-loss, and take-profit. Free for 30 days. In German.
To the signalsThe book
"Der Trading-Code", the step-by-step guide from the basics to a working strategy. Bestseller by Thomas Dahlmann, in German.
To the book
See the complete workflow for yourself.
Explore the public demo without an account or payment details.