polymarket-weather-traderTrade Polymarket weather markets using NOAA forecasts via Simmer API. Inspired by gopfan2's $2M+ strategy. Use when user wants to trade temperature markets,...
Install via ClawdBot CLI:
clawdbot install adlai88/polymarket-weather-traderTrade temperature markets on Polymarket using NOAA forecast data.
This is a template. The default signal is NOAA temperature forecasts โ 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.
Use this skill when the user wants to:
SIMMER_WEATHER_BINARY_ONLY config to skip range-bucket events (e.g., "NYC 34-35ยฐF") and only trade binary yes/no weather marketsSIMMER_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:
SIMMER_API_KEYWALLET_PRIVATE_KEY| 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 |
| Binary only | SIMMER_WEATHER_BINARY_ONLY | false | Skip range-bucket events (e.g., "34-35ยฐF"), only trade binary yes/no markets |
| 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 โ 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 โ 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:
๐ค๏ธ Simmer Weather Trading Skill
==================================================
โ๏ธ Configuration:
Entry threshold: 15% (buy below this)
Exit threshold: 45% (sell above this)
Max position: $2.00
Locations: NYC
Smart sizing: โ Enabled
Safeguards: โ Enabled
Trend detection: โ Enabled
๐ฐ Portfolio:
Balance: $150.00
Exposure: $45.00
Positions: 8
๐ NYC 2026-01-28 (high temp)
NOAA forecast: 34ยฐF
Matching bucket: 34-35ยฐF @ $0.12
๐ก Smart sizing: $2.00 (capped at max position)
โ
Below threshold ($0.15) - BUY opportunity! ๐ (dropped 15% in 24h)
Executing trade...
โ
Bought 62.5 shares @ $0.12
๐ 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"
"External wallet requires a pre-signed order"
WALLET_PRIVATE_KEY is not set in the environmentexport WALLET_PRIVATE_KEY=0x"Balance shows $0 but I have USDC on Polygon"
0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174) โ not native USDC"API key invalid"
Generated Mar 1, 2026
Individual traders use this skill to automate bets on Polymarket temperature markets based on NOAA forecasts, aiming to profit from discrepancies between forecast probabilities and market prices. They set entry and exit thresholds to buy low and sell high, leveraging the gopfan2-inspired strategy without manual analysis.
Financial institutions deploy this skill to hedge against weather-related risks by trading temperature derivatives on Polymarket. It automates position sizing and uses safeguards like trend detection to manage exposure, integrating with existing portfolios via the Simmer API for real-time data.
Companies in tourism or event management use the skill to bet on weather outcomes affecting business, such as temperature thresholds for outdoor events. This provides a financial hedge against bad weather while automating trades based on NOAA forecasts to capitalize on market inefficiencies.
Universities incorporate this skill into courses on prediction markets or algorithmic trading, allowing students to experiment with real-world weather data and trading strategies. It offers hands-on learning with configurable parameters and dry-run modes to test hypotheses safely.
Research organizations use the skill to monetize climate forecasts by trading on Polymarket, turning predictive models into revenue streams. It supports custom locations and binary-only modes, enabling focused bets on specific weather events like heatwaves or cold snaps.
Offer this skill as a managed service where users pay a monthly fee for automated weather trading, with tiered plans based on features like smart sizing or higher trade limits. Revenue comes from subscriptions, potentially sharing profits from successful trades.
License the skill to fintech or trading platforms as an add-on module for their users, integrating it via the Simmer API. Revenue is generated through licensing fees or revenue-sharing from increased trading activity on the platform.
Provide consulting to businesses wanting to customize the skill for specific weather markets or integrate additional data sources, such as private forecast models. Revenue comes from one-time project fees and ongoing support contracts.
๐ฌ Integration Tip
Ensure the SIMMER_API_KEY and WALLET_PRIVATE_KEY are securely stored as environment variables, and use the --live flag cautiously after testing with dry runs to avoid unintended trades.
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