Kalshi Weather Trader

Trade temperature markets on Kalshi using NOAA forecast data, via DFlow on Solana.

This is a template. The default signal is NOAA temperature forecasts — remix it with other weather APIs, different forecast models, or additional market types (precipitation, wind, etc.). The skill handles all the plumbing (market discovery, NOAA parsing, trade execution, safeguards). Your agent provides the alpha.

Powered by DFlow. Kalshi trades execute via DFlow's Solana-based prediction market infrastructure. KYC verification through Proof is required for buys.

When to Use This Skill

Use this skill when the user wants to:

• Trade weather markets on Kalshi (not Polymarket)
• Set up automated temperature trading on Kalshi
• Check their Kalshi weather trading positions
• Configure trading thresholds or locations

Setup Flow

When user asks to install or configure this skill:

1. Install the Simmer SDK

   pip install simmer-sdk
   

2. Ask for Simmer API key

   • They can get it from simmer.markets/dashboard → SDK tab
   • Store in environment as SIMMER_API_KEY

3. Ask for Solana private key (required for live trading)

   • This is the base58-encoded secret key for their Solana wallet
   • Store in environment as SOLANA_PRIVATE_KEY
   • The SDK uses this to sign transactions client-side automatically

4. Verify KYC

   • Required for Kalshi buys (not sells)
   • Complete at dflow.net/proof
   • Check status: curl "https://api.simmer.markets/api/proof/status?wallet=YOUR_SOLANA_ADDRESS"

5. Fund the wallet

   • SOL on Solana mainnet for transaction fees (~0.01 SOL)
   • USDC on Solana mainnet for trading capital

6. Ask about settings (or confirm defaults)

   • Entry threshold: When to buy (default 15¢)
   • Exit threshold: When to sell (default 45¢)
   • Max position: Amount per trade (default $2.00)
   • Locations: Which cities to trade (default NYC)

7. Save settings to environment variables

8. Set up cron (disabled by default — user must enable scheduling)

Configuration