Finance and accounting decision
Traderstats
A competent developer can build a usable replacement: core journal, charting, and AI feedback are achievable and prior open-source trading journal projects exist, but you trade off polish, hosted operations, billing, and community support.
Visit website↗$19/mo
$228/yr
Read off the official pricing page.
$100one-off80 h to build
$50/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 4 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Upload trades, store and index them, visualize trades on calendar and charts, write daily trade journal entries, generate per-day/month AI feedback from trade data, and share day/month as an image or public link.
What it still won’t have
- Polished, production-ready UI and interaction polish
- Hosted multi-tenant service, uptime and backups
- Payment processing, subscription billing and affiliate payouts
- Customer support, community and marketing
- Prebuilt user trust (reviews/testimonials) and leaderboard/mentorship community
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted trading journal web app using Next.js (React), PostgreSQL, Prisma, Redis (optional), and Docker; deploy to Vercel/Render and Postgres on managed provider. Core features in scope: user auth, CSV trade import and normalizer, trade storage and migrations, calendar and day/month views, TradingView chart embed with trades overlaid, rich-text journaling with image attachments, server-side generation of shareable images/links, and an AI feedback job that aggregates metrics and calls OpenAI-compatible API to return actionable day/month insights. Out of scope: payment/subscription billing, multi-tenant billing UI, mentor leaderboard, and advanced analytics pipelines. Include error handling, input validation, logging, unit and integration tests for import/AI pipeline, and a README with deploy steps and sample data.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productTraderstats - product page
- official pricingTraderstats - pricing
Integrity checks
What held up, and what did not.
