Your edge broken down by behaviour.
Net PnL, win rate, profit factor, discipline, filtered equity, setup quality, sessions, symbols, and mistake cost all stay connected.
JournalFlow features
The trading journal that shows what to fix before the next session.
JournalFlow brings broker imports, trade review, screenshots, analytics, risk rules, replay, reports, and AI coaching into one workspace built for traders who need evidence, not guesswork.
Current product screenshots Market context review AI review workflow
35 tradessample history ready for review71%win rate with setup context7.37 PFprofit factor surfaced in analytics82/100process score for discipline
Current product
Fresh screens from the workspace traders actually use.
The feature page should sell the real product, so these captures come from the current JournalFlow demo rather than old launch mockups.
Ask what to fix next.
Coach reads journal context, open review tasks, broker setup, strategy notes, and risk rules so feedback is based on the workspace.
Replay trades from account history.
Set market, account, date range, session, direction, and starting balance from the same place the journal stores the result.
Market context beside the review.
Keep session notes, calendar context, high-impact events, and trade decisions connected so reviews explain why the setup mattered.
Review loop
One routine from imported trade to next-session rule.
JournalFlow is designed so a trader can stop bouncing between broker exports, notes, screenshots, spreadsheets, calculators, and chat tools.
Sync supported brokers or upload a file so the workspace starts from real executions.
Add setup, session, mistake, emotion, screenshot, lesson, and review state to every trade.
Use filtered analytics to see what is actually helping or hurting the account.
Turn the data into a smaller rule, tighter risk limit, or clearer next-session plan.
Trade sync and import
MT4/MT5 bridge path, read-only exchange APIs, and CSV upload routes keep trades flowing into one clean ledger.
Full trade ledger
Filter by account, symbol, setup, session, result, review status, screenshot status, mistake, direction, and date.
AI Coach
Saved chats, strategy feedback, prop-firm rules, setup scoring, red-day resets, and next-action coaching.
News and context
Attach market events, session notes, catalysts, and calendar context to the trades that need reviewing.
Analytics
Equity, drawdown, expectancy, profit factor, average R, win rate, discipline, sessions, setups, and symbols.
Calendar review
Red-day patterns, overtrading windows, clean days, daily notes, news context, and the trades behind each result.
Strategy tracking
Turn setups into rules, attach screenshots, compare execution, and see where the process drifted.
Account control
Separate demo, personal, challenge, and funded accounts with their own balances, currencies, rules, and progress.
Risk guardrails
Forex lots, futures contracts, daily loss limits, drawdown rules, prop-firm safety, and stop-trading checks.
Why it feels different
Analytics, journal, replay, and Coach finally speak the same language.
The journal stores the evidence. The analytics show what is working. Replay brings the session back into view. Coach turns that into the next rule.
- Read-only sync paths where broker APIs allow it
- Manual logging and CSV upload stay available for unsupported brokers
- Market context stays attached to the journal instead of living in another tab
- Coach answers from journal context, not generic trading slogans
- Screenshots, review flags, and account rules stay tied to the workspace
- Replay, analytics, reports, and calendar all read from the same trade record
See the product
Open the workspace and judge it from the real trading flow.
Open the demo workspace to see how trades, screenshots, replay, analytics, calendar, market context, reports, risk, and Coach work together.