Log the trade, name the model, record the outcome. Then review whether you executed or improvised, with a dashboard, calendar, analytics, a rule-based coach and prop-firm tools, all from your own entries.
Every number in these screenshots is demo data. Education only. Not financial advice.
Real screens from the journal, filled with its built-in demo data. Scroll through, or jump to one.
Demo data. Net P&L and the Stryker Score.
Net P&L, today and this week at the top, with the Stryker Score: one number that summarises how your journal reads, drawn as a radar so you can see which side pulls it down.
Everything is computed from the trades you have logged or imported. A range selector scopes every dashboard widget.
Demo data. Stat tiles and the edge panel.
Win rate, profit factor, average win against average loss and more, each with a small gauge, plus an edge panel that reads your closed trades as a whole.
The tiles recalculate whenever you add, edit or import a trade.
Demo data. Cumulative and daily P&L.
Your cumulative P&L curve next to daily P&L, so a drawdown or one outsized day stands out straight away.
Both charts are drawn from your own closed trades.
Demo data. The P&L calendar.
Every trading day on a month grid. Switch what each day shows: P&L, trade count, wins and losses, or win rate.
Step back and forward a month. Days with no trades stay blank.
Demo data. P&L by setup.
Break results down by setup, session, day of week, instrument, direction and account, and see which of your setups made money and which lost it.
Name the setup when you log a trade and it appears in the breakdown.
Demo data. The coach tab.
Rule-based checks on your own journal: expectancy, drawdown, edge by setup and session, early exits, trading after losses, overtrading, sizing and fees. Each finding is tagged fix first, leak, strength or pattern.
The checks run in your browser on your own entries. It is a fixed set of rules, not a chatbot, and your trades are not sent anywhere for it.
Demo data. Prop-firm account cards.
One card per evaluation or funded account: fees paid, payouts received, net result and status, so the real cost of prop trading is in one place.
Add a firm, then log fees and payouts against it. Payouts and expenses can also be imported.
Demo data. Prop-firm cash flow.
Fees out and payouts in, over time, across every firm you track.
Built from the fees and payouts you log on each firm card.
Demo data. Simulation output, not a prediction.
Enter your firm’s rules and the simulator replays the evaluation many times from your own win rate and R-multiples, then shows what share of runs reached a payout at each position size.
It is a simulation of your past results against the rules, not a prediction. The panel says so itself: real losses cluster, so read the figure as an optimistic bound.
The journal is where the curriculum becomes your trading.
Right after the trade: instrument, model, entry, exit, stop and notes. Or import a CSV from your broker.
Dashboard, calendar, analytics and the coach show your patterns in your own data.
Pick one leak and grade your next trades against your own rules.
A simple routine: log each trade, review once a week. Tap a step, or let it play.
Every number on this page is demo data. Education only. Not financial advice.
From the trades you log or import. The screenshots on this page use the journal’s built-in demo data.
No. It is a fixed set of rule-based checks that run on your own journal entries in your browser.
Yes. Import a CSV from your broker or another journal; the columns are matched for you and you can correct the mapping before anything is saved. Payouts and expenses can be imported too.
No. It replays your past results against your firm’s rules. It is a simulation, not a prediction, and it reads as an optimistic bound.
Yes. The journal can draw a P&L card on your device and download it as an image. Nothing is uploaded.
Create your free account and log your first trade.
Education only. Not financial advice.