Built by a trader who needed it.
Edgeworth is an analytics-first trading journal made for traders who treat it like a job. No broker auto-sync. No AI doing the thinking for you. Just the tools that actually move your edge forward — every cell entered by you, every number traceable back to a trade you logged.
Why Edgeworth exists
Most trading journals optimise for one thing: getting data in. Auto-sync the broker, let an AI tag the trades, dashboards light up five minutes after signup. Looks great in a demo.
It's the wrong end of the problem. Getting data in is the easy part. The hard part is finding which combination of variables actually feeds your edge — and that requires both clean data (only you know what to call a valid setup) and tools that let you slice that data every way you can think of.
Edgeworth flips the order. You write every row by hand, so the data is data you trust. Then Deep Diver, Partial Creator, and Curve Simulator give you the depth most journals never bother to build.
What we believe
Manual entry beats auto-sync.
Every row in Edgeworth is a row you wrote, so the analytics read back numbers you can trace to trades you logged yourself.
R first.
1R is the risk you set on a trade — the distance from your entry to your stop. A winning trade can return multiples of R, a loss is −1R. Edgeworth defaults to R-multiples because strategies compare cleanly across instruments and account sizes — and because it keeps emotions out of your backtests and analysis. The dollar view is one click away whenever you need it.
Tools, not advice.
Edgeworth will never tell you what to trade on the market or call a setup "recommended". The AI Insight option in Deep Diver and Partial Creator can surface patterns hidden in your own data — what's compounding, what's leaking — but it's analytics on trades you already wrote, not signals on what comes next. We're a journal and an analytics platform: the job of the tool is to make your edge visible. Acting on it is your job.
Where we're going
Edgeworth is early — built in public, shipped weekly, shaped by the traders using it. The roadmap is honest about what's next: more flexible setup taxonomy, sharing between mentors and students, better cross-strategy benchmarks, and a serious push on the Backtest vs Live side as more users hit that stage.
If you're reading this on day one of journaling — welcome. If you already have a thousand trades waiting to be sliced — even better.