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itr-schedule-fa-from-ibkr

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Convert IBKR Activity Statements to filing-ready Indian Schedule FA, data 100% stays in browser.

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ZIP 다운로드

- IBMPlexSerif-Regular.ttf
- IBMPlexSerif-SemiBold.ttf
- how-schedule-fa-is-computed.md
- - sample_2023_Activity.csv
  - sample_2024_Activity.csv
  - sample_2025_Activity.csv
- fetch-ttbr.mjs
- - apple-icon.tsx
  - globals.css
  - icon.tsx
  - layout.tsx
  - opengraph-image.tsx
  - page.tsx
  - twitter-image.tsx
- - chrome.tsx
  - landing.tsx
  - parsing.tsx
  - results.tsx
- - fa-engine.ts
  - og-card.tsx
  - parse-ibkr.ts
  - rates-load.ts
  - rates-store.ts
  - types.ts
  - util.ts
  - xlsx-export.ts
- - synthetic-2025.csv
- fa-engine.test.ts
.gitignore
LICENSE
next.config.ts
package-lock.json
package.json
postcss.config.mjs
README.md
tsconfig.json
vitest.config.ts

# CDN으로 사용하기

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jsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.

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예시

// repository documentation

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Turn raw **Interactive Brokers** Activity Statements into a filing-ready Indian
**Schedule FA** (Foreign Assets) workbook — per-tranche Table A3 at the correct
daily **SBI TTBR**, computed **entirely in your browser**.

Ready-made Schedule FA workbooks exist inside platforms like Vested/INDmoney for
their own accounts. IBKR just gives you raw CSVs. This tool closes that gap for
IBKR investors, to the Black-Money-Act "tranche-level" standard.

> **Not tax advice.** It assists disclosure preparation — review the output with
> your CA.

## What it does

- **One row per purchase lot** (tranche-level), FIFO for sales — the standard
  the ₹10 lakh non-disclosure penalty makes you want to get right.
- **Initial value** = lot cost × SBI TT buying rate **on the acquisition date**.
- **Peak value** = daily maximum over the held window of `units × close × TTBR`,
  anchored to the broker's own 31-Dec close (so split-adjusted price feeds can't
  distort the level).
- **Closing** = units held on 31-Dec × 31-Dec close × 31-Dec TTBR.
- **Dividends** attributed to the lots held on each pay date, at the pay-date TTBR.
- **Table A2** custodial account: the un-invested cash (reconstructed from the
  statement's ledger, forex conversions included) + the income rollup.
- **Reconciliation badge**: Σ per-lot closings must equal the year-end portfolio.
- Downloads a `.xlsx` with **Table A3**, **Table A2**, and a **Methodology** sheet
  (every number explained — rates, dates, sources), plus an on-screen preview.

## Privacy

**Your statement never leaves your browser.** Parsing and every ₹ computation run
in-tab — your amounts, account numbers and holdings are never uploaded. Only two
things leave the tab, neither tied to you:

- **Ticker symbols** — sent to a small `/api/prices` proxy that fetches public
  end-of-day closes (Yahoo). No amounts, no account numbers.
- **Anonymous page-view analytics** —
  [Vercel Web Analytics](https://vercel.com/docs/analytics) counts page visits with
  no cookies and no personal data; it never sees your statement or any figure
  computed from it.

SBI TTBR tables ship as static JSON in the app.

## Inputs

1. **IBKR Activity Statement CSV** for the FA calendar year (1 Jan – 31 Dec) —
   required. In IBKR: *Performance & Reports → Statements → Activity*, set **Period → Annual**, **Date → the year**, then **Download CSV**.
2. **Prior-year Activity Statements** — only needed when holdings you still owned
   at year-end were bought earlier. Schedule FA needs each lot's **original**
   purchase date and cost, which only that year's statement has. The app detects
   exactly which year is missing and asks for it; unresolved lots are **excluded**
   from the workbook (never estimated).

## How it works

Want to understand or verify the computation — or do it by hand? See
**[docs/how-schedule-fa-is-computed.md](docs/how-schedule-fa-is-computed.md)** — a plain-English
walkthrough with worked examples (per-lot TTBR conversion, daily-max peak, FIFO, the cash account).

## Develop

```bash
npm install
npm run dev            # http://localhost:3000 — click "Load sample statements"
npm test               # unit tests on a synthetic fixture
npm run build
```

Refresh the bundled SBI TTBR tables (dev-only, needs network):

```bash
node scripts/fetch-ttbr.mjs 2025 > public/data/ttbr/2025.json
```

Golden check against a known-good real filing (statements never committed):

```bash
IBKR_REAL_DOCS=/path/to/your/statements npm test
```

## Deploy

Zero-config on Vercel — one static page plus the `/api/prices` edge proxy.
`data/` and `*.csv` are gitignored so real statements can never be committed.

## Stack

Next.js · React · TypeScript · Tailwind (IBM Plex) · SheetJS (`xlsx`) ·
papaparse. TTBR archive: [skbly7/sbi-tt-rates-historical](https://github.com/skbly7/sbi-tt-rates-historical).

MIT.