Journalit

Trade Notes: Your Path to Better Trading

Most trading journals decide for you what matters and where you are allowed to write it. Journalit takes the opposite approach. Every trade note combines structured trade data with an open markdown workspace, so you get both clean analytics and a place to think properly.

Why trade notes matter

The note is not just a record of what happened. It is where the trade becomes reviewable, comparable, and useful for future decision-making.

Your Infinite Trading Canvas

What makes Journalit different is that each trade note gives you both structure and freedom.

Structured view at the top

Core trade data such as P&L, timing, setup, and execution context stays consistent across all notes.

Unlimited markdown below

Use the rest of the note for screenshots, reasoning, psychology notes, lessons, and anything else your workflow needs.

Your own analysis style

You are not trapped inside someone else's opinion of what a proper trade review should look like.

What this flexibility actually gives you

Unlimited screenshots and charts

Add as many visuals as you need without fighting note limits.

Embedded videos

Drop in execution footage or supporting recordings when that helps the review.

Custom sections

Build analysis blocks that match your own process, not a generic journal template.

Links and references

Connect trades to outside research, news, or contextual resources.

Markdown-native formatting

Use headings, lists, tables, quotes, and any other markdown structure that helps you think clearly.

Reusable templates

Create different note patterns for different trade types or review styles.

Bottom line

You get the consistency needed for analytics and the flexibility needed for actual learning.

Different Types of Trade Notes

The system creates different note types automatically depending on the trade state.

OPEN Trades

For positions still in progress, including time-in-trade context and ongoing adjustments.

CLOSED Trades

For completed trades with full P&L, execution details, and post-trade reflection.

MISSED Trades

For setups you identified but did not take, which is valuable for understanding missed opportunity and pattern recognition.

BREAKEVEN Trades

For trades that resolved flat and still deserve review when execution quality mattered.

Trade Editing Made Simple

Trade editing interface Trade edit form details

You can edit trade details directly from the note instead of hunting across platform histories or spreadsheets.

Execution details

Update entry and exit prices, timing, size, and direction.

Costs and adjustments

Modify commission, swap, dividend events, and other realised cashflow items when needed.

Visual attachments

Add or remove screenshots directly from the trade note workflow.

Review metadata

Change setups, mistakes, tags, accounts, and custom fields without leaving the note context.

Automatic recalculation

Journalit recalculates P&L and updates related analytics automatically, so note edits stay consistent with your dashboards and reports.

Loss Review: Learning from Losses

Loss Review interface

Loss Review appears automatically for trades that close at a loss. The point is not to moralise losing. The point is to convert losing trades into useful, structured information.

What went wrong

Review entry quality, sizing, exits, and any breakdown in execution logic.

Emotional factors

Capture whether fear, greed, hesitation, frustration, or overconfidence affected the trade.

Rule violations

Identify which parts of your process were ignored or bent.

Lessons learned

Turn the loss into specific behavioural or tactical adjustments.

Instead of moving on from a bad trade with vague regret, you leave behind a review record that can be searched, compared, and aggregated later.

Customise the Loss Review according to YOUR needs

Open the Layout Builder to edit your win and loss review templates. Use it to customise the review questions, structure, and prompts.

Loss Review customisation options

Smart Navigation Between Trades

Trade navigation interface

Trade notes are connected to the rest of your journal, so you can move through related context without manually browsing folders.

Same-day trades

Jump to other trades from the same day through the timeline view.

Daily Review

Move back to the DRC that planned or contextualised the trade.

Weekly and monthly reviews

See how one trade fits into broader performance patterns.

Yearly summaries

Place the trade inside longer-term performance history.

Visual Trade Analysis

Trade notes are not just text-heavy records. They are designed to preserve the visual context of the trade as well.

Screenshots

Keep your actual trade screenshots and supporting chart images organised with the note.

TradingView integration

Paste TradingView share links and let Journalit convert them into more useful image references.

Entry/Exit timeline

See a visual representation of how the trade was executed.

Performance metrics

Review immediate P&L, percentage movement, realised cashflow components, and position statistics in context.

Trade classification

Understand whether the trade was a breakout, reversal, continuation, or another tagged pattern.

These visuals are not decoration. They make it easier to recognise repeatable conditions in your best trades and warning signs in your worst ones.

Trade Note Structure

Trade notes combine key metrics, structured custom fields, and note content in one reviewable layout.

Trade note showing a dedicated custom fields section beneath the main trade metrics

Custom fields section

Structured custom trade fields appear in their own section so they are easy to scan during review.

Key trade context

Top-level metrics, realised cashflow details, and thesis stay visible without forcing you to dig through the rest of the note.

Consistent note types

The same custom-field display approach is used across regular, missed, and backtest trade notes.

Trade Metadata That Matters

Metadata becomes powerful once it compounds across many trades.

Setup types

Track which technical or strategic patterns you traded.

Mistake categories

Measure recurring execution errors and see which ones cost the most.

Account attribution

Understand how the same trader behaves across different accounts or account types.

Custom tags

Create your own classification system beyond the defaults.

Dividend events

Record one or more dividend cashflow events on a trade when yield or corporate actions matter to realised performance.

Market conditions

Capture volatility, session, and news context that may influence outcomes.

Broker comments

MetaTrader users can review synced broker-side comments directly inside the trade metadata section when those comments carry execution or reconciliation context.

Review Status Tracking

Trade review status unreviewed Trade review status reviewed

Review tracking helps make post-trade analysis a real habit instead of a vague intention.

Reviewed vs unreviewed state

See clearly which trades have actually been analysed and which still need attention.

Discipline support

Stops important trades from disappearing into the archive without proper reflection.

Timestamped habit tracking

Journalit records when a trade was marked reviewed, which helps reinforce routine.

Integration with Daily Reviews

Trade notes do not exist in isolation. They connect directly to your Daily Review workflow.

Plan the trade in your DRC

Use the Daily Review to prepare ideas, scenarios, and intentions.

Execute and capture the trade

The trade note becomes the record of what actually happened.

Compare plan versus action

This is where the real edge often appears: the gap between what you planned and what you actually did.

Related page

You can find out more about the DRC in Review Notes.

Custom Fields for Your Trading Style

You are not locked into a fixed definition of what trade data should include.

Risk-reward ratios

Useful when your strategy depends heavily on target structure.

Time in trade

Useful for scalping, intraday execution studies, or patience analysis.

News events

Useful when macro releases or catalysts affect your setups.

Technical indicators

Useful for systematic or indicator-driven review processes.

Emotional state tracking

Useful when behavioural data is part of your review edge.

These custom fields feed back into review workflows and broader analytics rather than sitting as dead text. They can also appear in the dedicated custom fields section inside the trade note itself, which makes structured context easier to scan during review.

Related page

You can find out more about custom fields in Customisability via Settings.

The Bottom Line

Trade notes are not busy work

They are the layer that turns trades into usable intelligence. Without notes, wins and losses stay isolated events. With notes, they become a searchable, comparable system for improvement.

Trade notes help you identify what is working, what is not, and what specific changes are worth making next. The goal is not perfect trading. The goal is systematic reflection that makes future trading better.

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