TradingĀ JournalĀ AI
Dashboard wireframe

Dashboard

Planning, accountability, and check-ins for the trading day. Dashboard prompts the live moment, keeps the active lesson visible, and routes context back into Journal.

Keep it on the glass

Sticky notes

Loading sticky notes...
Start here

Current phase

Morning plan

Pre-market / open

Name the tape, choose the first rule, and set the session guardrail.

Midday reset

Lunch window

Decide whether the market still deserves attention or risk should come down.

Power hour / EOD

Late session

Capture what changed and stage the daily recap handoff.

Dashboard prompts

Active check-in

Where the work goes

Journal handoff

Dashboard entries are lightweight. The durable record lives in the daily recap, where check-ins, notes, trade evidence, and cue outcomes become coach context.

Source
Check-in answers
Writes to
Daily recap

Timestamped market read, trader state, decision, and next action.

Source
Session notes
Writes to
Journal context

Short in-session observations before memory rewrites the day.

Source
Cue outcome
Writes to
Coach input

Followed, missed, carried forward, retired, or changed.

System model

Learning loop

01

Journal captures the record

02

Coach synthesizes the lesson

03

Dashboard keeps it visible

04

Check-ins return to Journal

Insights and trade evidence flow through the system as context. They are not separate dashboard sections; they help Journal, Coach, and Dashboard stay connected.