Inwestycje

Private investing workbench: daily signals from the rules that survived the research (car-parts sales acceleration, bank early-reporter read-through, bank blackout after bad news, utilities after bank hits), the research event calendar, a findings page, and a paper-trading journal with real eMakler costs. See SETUP.md for putting it online.

Stack

Next.js 16 (App Router) · TypeScript · Tailwind 4 · Supabase (Postgres + RLS, Google auth) · Vercel. Same foundations as Coś ty żarła.

Layout

• src/lib/costs.ts: commission, round-trip result, break-even move, Belka tax (pure functions, tested).
• src/app/actions.ts: every write, validated with zod and protected by RLS.
• src/app/(app)/: Home, Events, Journal, Settings.
• src/lib/i18n.ts: Polish (default) and English text.
• supabase/migrations/: schema, RLS and the allow-list sign-up gate.
• supabase/tests/: security tests that run on plain Postgres.

Data model

• instruments: 9 banks + 4 utilities (shared, admin-editable).
• prices: daily OHLCV, written only by an import job (service role).
• events: same columns as the research CSVs (bank_events.csv, util_events.csv) plus severity and direction; shared by everyone signed in.
• paper_trades: per user, private.

Commands

npm run dev        # local dev (needs .env.local, see .env.example)
npm test           # cost engine tests
npm run build

Database tests need a local Postgres 16:

createdb t && psql -d t -f supabase/tests/stub_supabase.sql \
  -f supabase/migrations/20261018000001_init.sql -f supabase/tests/rls_test.sql

Next steps (not built yet)

1. Daily price import (scheduled job → prices), then charts per ticker.
2. Import the existing event CSVs into events.
3. Event study view: average move and spread-adjusted result after each event type.
4. News feed from Polish and foreign sources.