Journal
Log every trade with its full entry/exit detail and screenshots, plus a daily journal entry cross-referenced to that day's trades. Nothing gets summarized away before you've had a chance to look at it.
Log every futures trade down to the entry and exit — or let MetaTrader 5 import them for you — see the analytics and Edge Score that actually explain your results, and hold yourself to the goals and risk rules you set for yourself.
Screenshot placeholder — a real Dashboard screenshot (equity curve, Edge Score, KPI tiles) will replace this mockup.
Log every trade with its full entry/exit detail and screenshots, plus a daily journal entry cross-referenced to that day's trades. Nothing gets summarized away before you've had a chance to look at it.
Equity curve, drawdown, win rate, profit factor, and a six-axis Edge Score — win rate, profit factor, payoff, consistency, and drawdown, plus a discipline axis that rewards plan adherence, reflection, and journal completeness — so your score isn't just a P&L number.
Define your setups, confluences, and common mistakes once, tag every trade against them, and see which models actually make money and which just feel like they should.
Set a monthly goal, a max-loss and max-trades guardrail per account, and a profit target and drawdown ceiling — then a short reflection prompt after every closed trade keeps you honest about whether you actually kept to it.
Ask questions about your own trading history. The copilot reads your journal, strategy notes, and recent trades, and runs locally through Ollama, through Claude, or through any OpenAI-compatible API — your choice of provider, your data stays wherever you tell it to.
Drop one Expert Advisor on a MetaTrader 5 chart and closed trades import themselves every few minutes — scale-ins and partial exits merged into one trade, commission and swap included, nothing ever duplicated. Multiple accounts and terminals supported.
Replay any trade on a real candlestick chart — arrows for every entry and exit fill, SL/TP lines, the risk-to-reward zone, five timeframes, and your own drawings saved with the trade.
A native desktop app that works fully offline, with optional cloud sync so the same journal follows you to another device when you want it to.
A trade in Trading Diary isn't one number. It's the ordered sequence of entries and exits that built the position, the screenshots you took before, during, and after, and the journal note you wrote the same day. Log it by hand, let MetaTrader 5 send it in automatically, or import it from TradingView or a broker export — nothing is compressed into "win" or "loss" until you've actually looked at how it happened.
Screenshot placeholder — trade detail / review view with entries, exits, screenshots, and journal note.
Your P&L tells you what happened. Edge Score tells you why: alongside win rate, profit factor, payoff, consistency, and drawdown, one of its six axes scores discipline — whether you followed your plan, reflected on the trade, and kept your journal up — so a lucky month and a disciplined month don't score the same.
Screenshot placeholder — Dashboard Edge Score card (radar view) and equity curve.
Write down your setups, your confluences, your recurring mistakes — once. Every trade you tag against them turns into a breakdown you can actually query: which model, which session, which mistake is costing you money.
Screenshot placeholder — Playbook page and/or model/confluence breakdown on the Dashboard.
The desktop app works completely offline — no server, no account required to use it locally. Turn on cloud sync when you want the same journal on a second machine, and it stays in sync without you thinking about it again.
Screenshot placeholder — desktop app window (native title bar) next to a sync-status UI element.
Enter the trade as it happens, or import it — the entries, the exits, the screenshots, the setup you took.
Walk through the day's reflection prompts and journal entry while it's still fresh, not a week later when you've already forgotten why you took the trade.
Check your Edge Score and Playbook breakdown weekly to see which setups and habits are actually working, and which ones just feel like they are.
The demo runs on an actual account with real trade history — click around before you decide anything.
Currently in private early access — invite only.
Pricing hasn't been announced. Join the waitlist to be first in line when invites open.
Coming soon.
Yes. We run our own servers — your trade data lives on infrastructure we operate directly, not routed through a third-party analytics or tracking platform, and it's never sold or shared. See the Privacy Policy for specifics.
Any instrument you can log a symbol for — it's built around futures (ES, NQ, YM and similar), but nothing in the journal or analytics is hard-coded to a specific contract.
Yes — connect MetaTrader 5 with the bundled Expert Advisor (a two-minute setup guided in the app) and closed trades import themselves every few minutes, with no duplicates ever. You can also import TradingView CSV order history, a broker's .xlsx export, or even a chart screenshot via the AI import.
The desktop app does, fully — it's a local application with its own local database. Cloud sync is optional, for when you want the same journal on more than one device.
Only if you choose the cloud AI provider, and only the context needed to answer your question (recent trades, journal entries, your strategy notes). You can run the copilot entirely locally instead, with no data leaving your machine, by using the local model option.
Join the waitlist with your email. Access during early access is invite-only, and waitlist signups get first access to invite codes as they open up.