Kalshi Trader

Automated prediction market trading on Kalshi. Scans every 15 minutes, researches before every trade, reports daily via Telegram.

Setup (run once)

1. Install dependencies

pip install cryptography requests --break-system-packages

2. Store Kalshi credentials

mkdir -p ~/.kalshi && chmod 700 ~/.kalshi
nano ~/.kalshi/private_key.pem   # paste -----BEGIN RSA PRIVATE KEY----- block
chmod 600 ~/.kalshi/private_key.pem
echo "YOUR-API-KEY-ID-HERE" > ~/.kalshi/key_id.txt
chmod 600 ~/.kalshi/key_id.txt

Get your API key at: kalshi.com → Settings → API → Create Key

3. Deploy the bot

cp scripts/kalshi_bot.py ~/kalshi_bot.py
chmod 600 ~/kalshi_bot.py

4. Test connection

python3 ~/kalshi_bot.py test

5. Set up cron jobs (via OpenClaw cron tool)

15-minute scan (silent unless trade placed or exited):

• Schedule:

  */15 * * * *

• Message: see references/cron-prompt.md

Daily summary (9am your timezone):

• Schedule:

  0 9 * * *

  with your timezone
• Message: "Run

  python3 ~/kalshi_bot.py summary

  and send daily trading report with balance, open positions, recent trades, P&L, and fees paid."

Trading Rules

Entry criteria

Only place a trade if EV IRR ≥ 50% (post-fee):

edge = fair_value - (market_price + entry_fee)
EV IRR = (edge / (market_price + entry_fee)) × (365 / days_to_close)

Minimum: EV IRR ≥ 0.50 (50%)

Position sizing — Half Kelly

kelly_fraction = (edge / market_price) × 0.5
max_position = min(kelly_fraction × balance, 0.20 × balance)
contracts = floor(max_position / market_price)

Exit rule

Exit ONLY if current bid ≥ fair value estimate (net of exit fee).

• Never use price-based stop losses — prediction markets resolve on facts, not on what other traders think
• If price drops, research whether the underlying facts changed
• Only exit early if: (a) price reached fair value, or (b) new evidence shows the outcome is unlikely

Research approach

Use

web_fetch

as primary research tool (no quota limits). Known data sources:

• Gas prices:

  https://gasprices.aaa.com/

• Trump actions:

  https://www.whitehouse.gov/presidential-actions/

• Treasury yields:

  https://home.treasury.gov/resource-center/data-chart-center/interest-rates/

• Bitcoin/crypto:

  https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd

• Weather:

  https://wttr.in/CityName?format=3

• Congress bills:

  https://www.congress.gov

Only use

web_search

for open-ended research where the URL isn't known upfront.

Bot Commands

python3 ~/kalshi_bot.py          # scan for opportunities
python3 ~/kalshi_bot.py summary  # print P&L summary  
python3 ~/kalshi_bot.py test     # verify API connection

Reporting format (include in every update)

• 💰 Cash balance
• 📦 Total position cost
• 📈 Current market value of positions
• 💹 Unrealized P&L
• 💸 Total Kalshi fees paid
• 🏦 Total portfolio value

API reference

See references/api.md for Kalshi authentication and endpoints.

Trade research workflow

See references/trade-research.md for finding and evaluating opportunities.