kalshi-csv

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

Installation

pip install kalshi-csv

Getting Your Transactions CSV

Download your transaction history from Kalshi:

1. Go to 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 IRS summary:

kalshi-csv Kalshi-Transactions-2026.csv

Export the IRS summary to a file:

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

Disable colored output (useful for piping or redirecting):

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

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

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

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
-----------------------------------------------------------------------------------
=== 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)
  * (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
-----------------------------------------------------------------------------------
=== 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)
  * (d) Gross Proceeds:      $+2.50
  * (e) Cost or Other Basis: $2.24
  * (h) Gain or (Loss):      $+0.26
====================================================

Library API

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

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}")

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

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

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

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: https://github.com/MARKMENTAL/kalshi-csv
• Codeberg: https://codeberg.org/markmental/kalshi-csv

License

MIT