Daily recap
Journal
The day's story: trades, check-ins, emotions, process notes, charts, and market context.
Local-first trading journal
A journal-first trading review system.
Trading Journal AI organizes your trades so they're easy to find, tag, and reflect on. Reviewing stays fast, and an AI coach guides you based on your rules.
No signup · No subscription · Your data stays on your machine
demo.trading-journal.ai/demo
Trading Journal
CalendarTradesJournalReports
Week 2 · June 8 – June 12 2026
Monday
85 trades · 63% win · PF 1.64 · P&L +$42.33
Daily Recap
Clean open. Waited for the first pullback on NPT instead of chasing the spike. That patience set the tone for the whole session. Sized normal, took profits into strength, and carried one playbook reminder into tomorrow.
PatientFollowed plan
Trades
NPT+$15.44
INHD+$14.71
SUNE+$8.36
BYAH+$2.91
PN+$0.90
The review habit
Review faster. Build your playbook.
Refine your trades.
Lessons shouldn't disappear into archived notes. Trading days are full of small moments that are easy to lose: the hesitation before an entry, the rule you bent, the cue that helped you stop.
Trading Journal AI brings notes, charts, P&L, tags, playbook examples, and coaching into one journal-first workflow, so repeated lessons can become standards you actually trade from.
Week 2 · June 8 – June 12 2026
Monday
85 trades · 63% win · PF 1.64 · P&L +$42.33
Daily Recap
Clean open. Waited for the first pullback on NPT instead of chasing the spike. That patience set the tone for the whole session. Sized normal, took profits into strength, and carried one playbook reminder into tomorrow.
PatientFollowed plan
Trades
NPT+$15.44
INHD+$14.71
SUNE+$8.36
BYAH+$2.91
PN+$0.90
01 · See the day in context
The recap leads, the data follows.
Open a day and the recap sits first: market read, execution, lesson. The trades and P&L sit beside it for reference, not as the headline. When a lesson repeats, it has a place to become a rule, example, or playbook note.
02 · Capture it in seconds
Tag the trade in your own language.
Write a sentence, then tap the pills that fit: one quality call, plus the process and emotion behind it. The same vocabulary every session becomes the raw material for your playbook, so patterns and examples are easy to find later.
Best setupPatientOversizedFOMO
Trade Note
NPT · Trade 1 · +$15.44How was this trade?
Best setupGood tradeNeeds reviewChasedRule break
Textbook green-to-red reclaim. Entered on the reclaim, added on the first pullback, trimmed half into the move. The A+ I keep talking about: patient entry, defined risk, let it work
Process
PatientFollowed planLet winner workSized correctlyTook profits early+More
Emotion
CalmFocusedImpatientFOMO+More
Autosaves to your local fileSave note
AI coach, grounded in your playbook
PreviewA coach that guides you by your rules.
First you codify what an A+ trade looks like: the setup, entry, risk, process criteria, and examples you want to repeat. If your playbook is still forming, the coach helps you turn review into clearer standards. Then it reads each imported trade against that playbook, flags where you drifted, and drafts the note and recap in your voice.
01
Codify your edge
Turn process tags, notes, rules, and best examples into your playbook.
02
Review against it
Each trade gets read against your own standards, not generic advice.
03
Draft, never auto-post
The coach proposes the note and recap; you always edit before it saves.
Concept preview. Runs on your trades, on your machine.
Coach review· NPT · Trade 1
Read against your playbook
✓
Waited for confirmation Entry after the reclaim held
✓
Sized to plan 10 sh · within your risk
✓
Let the winner work Added on the first pullback
!
Took profits early Trimmed half before your 2R target
“Your highest-quality entry this week. The only drift was trimming early, the same pattern flagged Tuesday. Worth sizing the runner next time.”
Use as note draftYou always edit before it saves
Review system
Four surfaces connected.
The journal captures the trading day, the coach turns review into feedback and rule candidates, the playbook keeps the standards you are building, and the dashboard carries the current focus back into the next session.
Trading Journal AI
Review System
Journal
Captures the recordtrades, check-ins, emotions, process notes, charts, and market context stay with the story of the session instead of disappearing into loose notes.
Coach
Develops the feedbackreview turns into focused lessons, rule candidates, and examples, especially while your playbook is still taking shape.
Playbook
Accumulates standardsrules, setups, exceptions, and best examples become a working reference for how you want to trade.
Dashboard
Orients the sessioncurrent focus, active rules, and carry-forward lessons come back before the next session, when they can still affect decisions.
Local-first
Your trading day never leaves your machine.
It's the first thing serious traders ask about, and the answer is simple. A trading journal holds some of your most sensitive records: account history, positions, timestamps. Trading Journal AI is a personal tool, not a hosted service. It runs locally and stores everything on disk, so your review habit stays completely private.
Read how it worksOn your machine
Everything lives in a local SQLite file in your project folder. Stopping the app never touches your entries.
Private by default
Your broker exports and notes are gitignored. Trade data stays yours unless you intentionally deploy or share it.
No subscription
No hosted account, no monthly fee, no signup. Reflection that does not depend on someone else's server.
Open source · MIT
Built in the open. Download it, fork it, run it, or use it as the starting point for your own journal.
Get started
Try the demo, or run your own in two minutes.
Explore the hosted demo with seeded trades and journal notes, or clone the repo and start a private local journal with your own broker CSV.
Or run it locally