kalshi-csv/README.md

# kalshi-csv

Parse Kalshi transaction CSV files and generate IRS Form 8949 tax summaries for event contract trading.

## Installation

```bash
pip install kalshi-csv
```

## What's New in 0.2.0

- **Summary Cards**: View key metrics at a glance - Net Realized P&L, Win/Loss Record, Total Volume, and Best/Worst Single Trade
- **Market Breakdown**: See performance by market category with trade counts, win rates, and net P&L
- **Legacy Web Mode**: Browse your portfolio in a retro HTML 4.01 web interface compatible with older browsers (Netscape Navigator, IE 4+)
- **Market Categorization**: Automatic categorization of tickers into 7 market types (Global Soccer, MLB, NPB, NBA Summer League, WNBA, S&P 500, Multivariate Events, Other Markets)
- **Handling of Sold + Acquired Dates**: Instead of handling the aggregated Kalshi trades through approximated dates, we use `VARIOUS` to signal to the IRS that every single underlying transaction in that row independently satisfies the short-term holding period rule (one year or less), even though they were purchased at different times.

## Getting Your Transactions CSV

Download your transaction history from Kalshi:

1. Go to [https://kalshi.com/account/taxes](https://kalshi.com/account/taxes)
2. Download the transaction CSV for the tax year you want to analyze
3. Pass it to `kalshi-csv` as shown below

Each tax year produces a separate CSV file.

## CSV Format

The tool expects the standard Kalshi transaction export with these columns:

```
type, quantity_fp, market_ticker, side, entry_price_dollars, exit_price_dollars,
open_fees_dollars, close_fees_dollars, realized_pnl_without_fees_dollars,
realized_pnl_with_fees_dollars, close_timestamp, open_timestamp
```

Rows without `realized_pnl_without_fees_dollars` are automatically skipped.

## CLI Usage

Parse a Kalshi transactions CSV and display the trade matrix with summary cards, market breakdown, and IRS summary:

```bash
kalshi-csv Kalshi-Transactions-2026.csv
```

Export the IRS summary to a file:

```bash
kalshi-csv Kalshi-Transactions-2026.csv --irs-file irs-summary.txt
```

Disable colored output (useful for piping or redirecting):

```bash
kalshi-csv Kalshi-Transactions-2026.csv --no-color
```

Use ASCII characters instead of Unicode box-drawing (for terminals without UTF-8 support):

```bash
kalshi-csv Kalshi-Transactions-2026.csv --ascii
```

Start a legacy web server to view your portfolio in a browser (HTML 4.01 compatible with older browsers):

```bash
kalshi-csv Kalshi-Transactions-2026.csv --legacy-web
```

Specify a custom port for the legacy web server:

```bash
kalshi-csv Kalshi-Transactions-2026.csv --legacy-web --legacy-web-port 3000
```

### Sample Output

Default mode (Unicode box-drawing):

```
┌──────────────────────────────────┬──────┬────────┬────────┬────────┬────────────────┬────────┐
│ Ticker                           │ Side │ Qty    │ Entry  │ Exit   │ P&L (No Fees)  │ Fees   │
├──────────────────────────────────┼──────┼────────┼────────┼────────┼────────────────┼────────┤
│ KXWCADVANCE-26JUL07ARGEGY-ARG    │ YES  │ 0.17   │ $0.86  │ $0.69  │ $-0.03         │ $0.00  │
│ KXWC1H-26JUL07ARGEGY-TIE         │ YES  │ 0.34   │ $0.28  │ $0.00  │ $-0.10         │ $0.00  │
│ KXMLBGAME-26JUL081940BOSCWS-BOS  │ YES  │ 0.96   │ $0.50  │ $0.91  │ $+0.39         │ $0.02  │
└──────────────────────────────────┴──────┴────────┴────────┴────────┴────────────────┴────────┘
Total Transactions Parsed: 3
Total Exchange Fees Paid:  $0.02
Internal Tracked Net P&L:  $+0.26
-----------------------------------------------------------------------------------

┌────────────────────────────┬────────────────────────────┬────────────────────────────┬────────────────────────────┐
│ NET REALIZED P&L           │ WIN / LOSS RECORD          │ TOTAL VOLUME               │ BEST/WORST SINGLE          │
├────────────────────────────┼────────────────────────────┼────────────────────────────┼────────────────────────────┤
│ $+0.26                     │ 2 - 1                      │ 3                          │ $+0.39 / $-0.10            │
│ Includes $0.02 fees        │ 0 Pushes (66.7% Win)       │ Executed Contracts         │ MLB Baseball / S&P 500     │
└────────────────────────────┴────────────────────────────┴────────────────────────────┴────────────────────────────┘

┌─────────────────────────────────────┬────────────┬──────────────┬──────────────────┐
│ ASSET CLASS / MARKET                │ TRADES     │ WIN RATE     │ NET P&L          │
├─────────────────────────────────────┼────────────┼──────────────┼──────────────────┤
│ Global Soccer / Football            │ 168        │ 54.8%        │ $+15.15          │
│ S&P 500 (INXU Intraday)             │ 110        │ 50.9%        │ $-32.21          │
│ Other Markets                       │ 87         │ 35.6%        │ $-28.63          │
│ MLB Baseball                        │ 44         │ 40.9%        │ $-13.06          │
│ NBA Summer League                   │ 43         │ 46.5%        │ $-7.09           │
│ NPB Baseball (Japan)                │ 40         │ 47.5%        │ $-10.68          │
│ Multivariate Events             │ 23         │ 8.7%         │ $-13.48          │
│ WNBA Basketball                     │ 6          │ 0.0%         │ $-5.87           │
└─────────────────────────────────────┴────────────┴──────────────┴──────────────────┘

=== IRS FORM 8949 / SCHEDULE D AGGREGATE SUMMARY ===
Use these exact aggregates for a single-line summary entry:
  * Box to Check:            Box C (Short-term, not reported on Form 1099-B)
  * (a) Description:         Kalshi Event Contracts (Aggregate Summary)
  * (b) Date Acquired:       07/07/2026
  * (c) Date Sold:           07/08/2026
  * (d) Gross Proceeds:      $+2.50
  * (e) Cost or Other Basis: $2.24
  * (h) Gain or (Loss):      $+0.26
====================================================
```

ASCII mode (`--ascii`):

```
+----------------------------------+------+--------+--------+--------+----------------+--------+
| Ticker                           | Side | Qty    | Entry  | Exit   | P&L (No Fees)  | Fees   |
+----------------------------------+------+--------+--------+--------+----------------+--------+
| KXWCADVANCE-26JUL07ARGEGY-ARG    | YES  | 0.17   | $0.86  | $0.69  | $-0.03         | $0.00  |
| KXWC1H-26JUL07ARGEGY-TIE         | YES  | 0.34   | $0.28  | $0.00  | $-0.10         | $0.00  |
| KXMLBGAME-26JUL081940BOSCWS-BOS  | YES  | 0.96   | $0.50  | $0.91  | $+0.39         | $0.02  |
+----------------------------------+------+--------+--------+--------+----------------+--------+
Total Transactions Parsed: 3
Total Exchange Fees Paid:  $0.02
Internal Tracked Net P&L:  $+0.26
-----------------------------------------------------------------------------------

+----------------------------+----------------------------+----------------------------+----------------------------+
| NET REALIZED P&L           | WIN / LOSS RECORD          | TOTAL VOLUME               | BEST/WORST SINGLE          |
+----------------------------+----------------------------+----------------------------+----------------------------+
| $+0.26                     | 2 - 1                      | 3                          | $+0.39 / $-0.10            |
| Includes $0.02 fees        | 0 Pushes (66.7% Win)       | Executed Contracts         | MLB Baseball / S&P 500     |
+----------------------------+----------------------------+----------------------------+----------------------------+

+-------------------------------------+------------+--------------+------------------+
| ASSET CLASS / MARKET                | TRADES     | WIN RATE     | NET P&L          |
+-------------------------------------+------------+--------------+------------------+
| Global Soccer / Football            | 168        | 54.8%        | $+15.15          |
| S&P 500 (INXU Intraday)             | 110        | 50.9%        | $-32.21          |
| Other Markets                       | 87         | 35.6%        | $-28.63          |
| MLB Baseball                        | 44         | 40.9%        | $-13.06          |
| NBA Summer League                   | 43         | 46.5%        | $-7.09           |
| NPB Baseball (Japan)                | 40         | 47.5%        | $-10.68          |
| Multivariate Events             | 23         | 8.7%         | $-13.48          |
| WNBA Basketball                     | 6          | 0.0%         | $-5.87           |
+-------------------------------------+------------+--------------+------------------+

=== IRS FORM 8949 / SCHEDULE D AGGREGATE SUMMARY ===
Use these exact aggregates for a single-line summary entry:
  * Box to Check:            Box C (Short-term, not reported on Form 1099-B)
  * (a) Description:         Kalshi Event Contracts (Aggregate Summary)
  * (b) Date Acquired:       VARIOUS
  * (c) Date Sold:           VARIOUS
  * (d) Gross Proceeds:      $+2.50
  * (e) Cost or Other Basis: $2.24
  * (h) Gain or (Loss):      $+0.26
====================================================
```

## Legacy Web Mode

View your portfolio in a web browser with a retro HTML 4.01 interface compatible with older browsers (Netscape Navigator, IE 4+):

```bash
kalshi-csv Kalshi-Transactions-2026.csv --legacy-web
```

This starts an HTTP server on `0.0.0.0:8080` by default. Access it from any machine on your network by navigating to `http://<your-ip>:8080`.

To use a different port:

```bash
kalshi-csv Kalshi-Transactions-2026.csv --legacy-web --legacy-web-port 3000
```

### What's Displayed

The web interface shows:

- **Summary Cards**: Net Realized P&L, Win/Loss Record, Total Volume, Best/Worst Single Trade
- **Market Breakdown**: Performance by category with trade counts, win rates, and net P&L
- **Recent Closed Positions**: Last 20 trades with timestamps, tickers, sides, quantities, entry/exit prices, and P&L
- **IRS Form 8949 Summary**: Tax reporting data including gross proceeds, cost basis, and gain/loss

The interface uses pure HTML 4.01 table layout with no CSS or JavaScript, ensuring compatibility with legacy browsers.

## Market Categorization

The tool automatically categorizes market tickers into the following categories:

- **Global Soccer / Football**: World Cup, Champions League, Europa League, Brasileirão, Argentino, Liga MX, and other soccer leagues
- **MLB Baseball**: Major League Baseball games and derivatives
- **NPB Baseball (Japan)**: Nippon Professional Baseball
- **NBA Summer League**: NBA Summer League games
- **WNBA Basketball**: Women's National Basketball Association
- **S&P 500 (INXU Intraday)**: S&P 500 index intraday contracts
- **Multivariate Events**: Multivariate Event (MVE) markets - parlay-style markets linking multiple individual event outcomes together
- **Other Markets**: Weather, politics, crypto, and all other markets

Categories are determined by analyzing ticker prefixes (e.g., `KXMLBGAME` → MLB Baseball, `KXINXU` → S&P 500).

## Library API

Use `kalshi-csv` as a Python library in your own scripts:

```python
from kalshi_csv import KalshiCSV

kalshi = KalshiCSV("Kalshi-Transactions-2026.csv")
kalshi.parse()

# Access individual trades
for trade in kalshi.trades:
    print(f"{trade['ticker']}: {trade['side']} {trade['qty']} @ ${trade['entry']}")
    print(f"  P&L: ${trade['pnl_with_fees']:.2f}")

# Access aggregate summary
print(f"Total trades: {kalshi.summary['trade_count']}")
print(f"Total fees: ${kalshi.summary['total_fees']:.2f}")
print(f"Total P&L: ${kalshi.summary['total_pnl_with_fees']:.2f}")

# Get IRS Form 8949 data
irs = kalshi.irs_summary()
print(f"Gross Proceeds: ${irs['gross_proceeds']:.2f}")
print(f"Cost Basis: ${irs['cost_basis']:.2f}")
print(f"Gain/Loss: ${irs['gain_or_loss']:.2f}")

# Get market breakdown by category
breakdown = kalshi.market_breakdown()
for item in breakdown:
    print(f"{item['category']}: {item['trades']} trades, {item['win_rate']:.1f}% win, ${item['net_pnl']:+.2f}")

# Get recent closed positions
recent = kalshi.recent_closed_positions(10)
for trade in recent:
    print(f"{trade['close_timestamp']}: {trade['ticker']} ${trade['pnl_with_fees']:+.2f}")
```

### Data Structures

**Trade dict** (`kalshi.trades`):
- `ticker`: Market ticker symbol
- `side`: "YES" or "NO"
- `qty`: Quantity of contracts
- `entry`: Entry price in dollars
- `exit`: Exit price in dollars
- `pnl_no_fees`: P&L without fees
- `pnl_with_fees`: P&L including fees
- `open_fees`: Opening fees
- `close_fees`: Closing fees
- `open_timestamp`: When the position was opened (datetime object or None)
- `close_timestamp`: When the position was closed (datetime object or None)
- `market_category`: Categorized market type (e.g., "MLB Baseball", "Global Soccer / Football")

**Summary dict** (`kalshi.summary`):
- `trade_count`: Number of trades parsed
- `total_fees`: Sum of all fees
- `total_pnl_without_fees`: Total P&L excluding fees
- `total_pnl_with_fees`: Total P&L including fees
- `total_tax_basis`: Total cost basis for IRS reporting
- `total_tax_proceeds`: Total proceeds for IRS reporting
- `wins`: Number of winning trades (pnl_with_fees > 0)
- `losses`: Number of losing trades (pnl_with_fees < 0)
- `pushes`: Number of break-even trades (pnl_with_fees == 0)
- `best_trade`: Trade dict with highest pnl_with_fees (or None)
- `worst_trade`: Trade dict with lowest pnl_with_fees (or None)

**IRS summary dict** (`kalshi.irs_summary()`):
- `box`: "C" (for Form 8949 Box C)
- `description`: "Kalshi Event Contracts (Aggregate Summary)"
- `gross_proceeds`: Total proceeds
- `cost_basis`: Total cost basis
- `gain_or_loss`: Net gain or loss

## Development & Testing

For developers who want to contribute or run the test suite:

### Installing Dependencies

```bash
pip install -r requirements.txt
```

### Running Tests

The project uses pytest for testing. Run the full test suite:

```bash
pytest
```

Or with verbose output:

```bash
pytest -v
```

### Sample Test Data

The test suite uses sample data located at `tests/fixtures/sample.csv`. If you want to create this file manually or modify it for testing:

**File location**: `tests/fixtures/sample.csv`

```csv
type,quantity_fp,market_ticker,side,entry_price_dollars,exit_price_dollars,open_fees_dollars,close_fees_dollars,realized_pnl_without_fees_dollars,realized_pnl_with_fees_dollars,close_timestamp,open_timestamp
trade,1.00,TESTMARKET-WIN,yes,0.5000,1.0000,0.010000,0.020000,0.500000,0.470000,2026-07-07T12:19:57-04:00,2026-07-07T09:48:19-04:00
trade,2.00,TESTMARKET-LOSS,yes,0.4000,0.0000,0.020000,0.000000,-0.800000,-0.820000,2026-07-07T12:56:23-04:00,2026-07-07T12:37:41-04:00
trade,0.50,TESTMARKET-SMALL,no,0.6000,0.8000,0.010000,0.010000,0.100000,0.080000,2026-07-07T14:07:41-04:00,2026-07-07T12:26:45-04:00
```

This sample contains 3 trades:
- **TESTMARKET-WIN**: A winning trade (+$0.47 P&L with fees)
- **TESTMARKET-LOSS**: A losing trade (-$0.82 P&L with fees)
- **TESTMARKET-SMALL**: A small winning trade (+$0.08 P&L with fees)

You can also test this sample data directly with the CLI:

```bash
kalshi-csv tests/fixtures/sample.csv
```

## IRS Form 8949

Kalshi event contracts are typically reported on **IRS Form 8949, Box C** (short-term transactions not reported on Form 1099-B). The tool calculates:

- **Gross Proceeds**: Total exit value minus close fees
- **Cost Basis**: Total entry value plus open fees
- **Gain/Loss**: Realized P&L including all fees

Use the aggregate summary for a single-line entry on Form 8949, or export to a file for your records.

**Disclaimer**: This tool provides calculations based on Kalshi transaction data. Consult a tax professional for specific tax advice.

## Source Code

This project is hosted in two locations, GitHub and my home Forgejo server, contributions are easiest through GitHub, but you are welcome to clone from my Forgejo as well:
- **GitHub**: [https://github.com/MARKMENTAL/kalshi-csv](https://github.com/MARKMENTAL/kalshi-csv)
- **MentalNet Forgejo v2**: [https://mentalnet.xyz/forgejo-v2/markmental/kalshi-csv](https://mentalnet.xyz/forgejo-v2/markmental/kalshi-csv)

## License

[MIT](LICENSE)