Install
openclaw skills install weather-pyTrade Polymarket weather markets using NOAA forecasts via Simmer API. Inspired by gopfan2's $2M+ strategy. Use when user wants to trade temperature markets,...
openclaw skills install weather-pyTrade temperature markets on Polymarket using NOAA forecast data.
Use this skill when the user wants to:
SIMMER_WEATHER_MAX_TRADES config to limit trades per scan cycle (default: 5)scripts/status.py for quick balance and position checkssdk:weather for portfolio tracking--smart-sizing)When user asks to install or configure this skill:
Ask for Simmer API key
SIMMER_API_KEYAsk about settings (or confirm defaults)
Save settings to environment variables
Set up cron (disabled by default — user must enable scheduling)
| Setting | Environment Variable | Default | Description |
|---|---|---|---|
| Entry threshold | SIMMER_WEATHER_ENTRY | 0.15 | Buy when price below this |
| Exit threshold | SIMMER_WEATHER_EXIT | 0.45 | Sell when price above this |
| Max position | SIMMER_WEATHER_MAX_POSITION | 2.00 | Maximum USD per trade |
| Max trades/run | SIMMER_WEATHER_MAX_TRADES | 5 | Maximum trades per scan cycle |
| Locations | SIMMER_WEATHER_LOCATIONS | NYC | Comma-separated cities |
| Smart sizing % | SIMMER_WEATHER_SIZING_PCT | 0.05 | % of balance per trade |
Supported locations: NYC, Chicago, Seattle, Atlanta, Dallas, Miami
# Check account balance and positions
python scripts/status.py
# Detailed position list
python scripts/status.py --positions
API Reference:
https://api.simmer.marketsAuthorization: Bearer $SIMMER_API_KEYGET /api/sdk/portfolioGET /api/sdk/positions# Dry run (default — shows opportunities, no trades)
python weather_trader.py
# Execute real trades
python weather_trader.py --live
# With smart position sizing (uses portfolio balance)
python weather_trader.py --live --smart-sizing
# Check positions only
python weather_trader.py --positions
# View config
python weather_trader.py --config
# Disable safeguards (not recommended)
python weather_trader.py --no-safeguards
# Disable trend detection
python weather_trader.py --no-trends
# Quiet mode — only output on trades/errors (ideal for high-frequency runs)
python weather_trader.py --live --quiet
# Combine: frequent scanning, minimal noise
python weather_trader.py --live --smart-sizing --quiet
Each cycle the script:
sdk:weather for trackingWith --smart-sizing, position size is calculated as:
SIMMER_WEATHER_SIZING_PCT)This prevents over-deployment and scales with your account size.
Before trading, the skill checks:
Disable with --no-safeguards (not recommended).
All trades are tagged with source: "sdk:weather". This means:
🌤️ Simmer Weather Trading Skill
==================================================
⚙️ Configuration:
Entry threshold: 15% (buy below this)
Exit threshold: 45% (sell above this)
Max position: $2.00
Locations: NYC
Smart sizing: ✓ Enabled
Safeguards: ✓ Enabled
Trend detection: ✓ Enabled
💰 Portfolio:
Balance: $150.00
Exposure: $45.00
Positions: 8
📍 NYC 2026-01-28 (high temp)
NOAA forecast: 34°F
Matching bucket: 34-35°F @ $0.12
💡 Smart sizing: $2.00 (capped at max position)
✅ Below threshold ($0.15) - BUY opportunity! 📉 (dropped 15% in 24h)
Executing trade...
✅ Bought 62.5 shares @ $0.12
📊 Summary:
Events scanned: 12
Entry opportunities: 1
Trades executed: 1
"Safeguard blocked: Severe flip-flop warning"
"Slippage too high"
"Resolves in Xh - too soon"
"No weather markets found"
"API key invalid"