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name: polymarket-climate-trader description: Trades Polymarket prediction markets on weather extremes, climate milestones, natural disasters, and agricultural outcomes. Use when you want to capture alpha on temperature records, hurricane seasons, flood events, and CO2 threshold markets using meteorological data signals. metadata: author: Diagnostikon version: '1.0' displayName: Climate & Weather Trader difficulty: intermediate

Climate & Weather Trader

This is a template.
The default signal is keyword discovery + NOAA/weather API data alignment — remix it with ForecastEx climate oracle feeds, satellite NDVI data for agriculture, or ensemble weather model outputs.
The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Climate prediction markets are one of the fastest-growing underserved categories. Polymarket has 151+ active climate markets but most are basic. This skill captures alpha on:

• Temperature extremes — record highs, heatwaves, frost events
• Natural catastrophes — hurricane counts, earthquake magnitudes, wildfire acreage
• Climate milestones — CO2 ppm thresholds, Arctic sea ice minimums
• Agricultural impacts — wheat yields, drought-driven crop failures, water allocations

Climate markets are uniquely suited for quantitative trading: the data sources are public, verifiable, and highly structured (NOAA, ECMWF, NASA).

Signal Logic

Default Signal: Model Ensemble Divergence

1. Discover active climate/weather markets on Polymarket
2. Pull current forecast data from open weather APIs (NOAA, Open-Meteo)
3. Compare model consensus probability vs. current market price
4. If divergence >12%, check context (flip-flop, slippage, edge)
5. Trade in direction of meteorological consensus

Remix Ideas

• ECMWF ensemble: Use European Centre weather model for 15-day outlook as pricing signal
• ENSO index: Trade El Niño/La Niña markets using NOAA's ONI index
• Insurance cat bond pricing: Use ILS (insurance-linked securities) spreads as implied probability benchmarks
• Copernicus climate data: Real-time European climate services for local/regional markets

Market Categories Tracked

CLIMATE_KEYWORDS = [
    "temperature", "hurricane", "tornado", "flood", "drought",
    "wildfire", "earthquake", "CO2", "sea ice", "Arctic",
    "El Niño", "La Niña", "snowfall", "rainfall", "heatwave",
    "crop yield", "wheat", "harvest", "water shortage"
]

Risk Parameters

Parameter	Default	Notes
Max position size	$20 USDC	Per market
Min market volume	$3,000	Climate markets are less liquid
Max bid-ask spread	12%	Wider allowed for niche markets
Min days to resolution	14	Weather requires sufficient lead time
Max open positions	8	Diversify across events

Key Data Sources

• NOAA Climate Data Online: https://www.ncdc.noaa.gov/cdo-web/
• Open-Meteo API: https://open-meteo.com/ (free, no key required)
• Copernicus C3S: https://cds.climate.copernicus.eu/
• ForecastEx: https://forecastex.com/

Installation & Setup

clawhub install polymarket-climate-trader

Requires: SIMMER_API_KEY environment variable. Optional: OPENMETEO_API_KEY.

Cron Schedule

Runs every 30 minutes (*/30 * * * *). Weather data updates every 1–6 hours; no need to poll faster.

Safety & Execution Mode

The skill defaults to paper trading (venue="sim"). Real trades only execute when --live is passed explicitly.

Scenario	Mode	Financial risk
python trader.py	Paper (sim)	None
Cron / automaton	Paper (sim)	None
python trader.py --live	Live (polymarket)	Real USDC

The automaton cron is set to null — it does not run on a schedule until you configure it in the Simmer UI. autostart: false means it won't start automatically on install.

Required Credentials

Variable	Required	Notes
SIMMER_API_KEY	Yes	Trading authority — keep this credential private. Do not place a live-capable key in any environment where automated code could call --live.

Tunables (Risk Parameters)

All risk parameters are declared in clawhub.json as tunables and adjustable from the Simmer UI without code changes. They use SIMMER_-prefixed env vars so apply_skill_config() can load them securely.

Variable	Default	Purpose
SIMMER_CLIMATE_MAX_POSITION	20	Max USDC per trade
SIMMER_CLIMATE_MIN_VOLUME	3000	Min market volume filter (USD)
SIMMER_CLIMATE_MAX_SPREAD	0.12	Max bid-ask spread (0.10 = 10%)
SIMMER_CLIMATE_MIN_DAYS	14	Min days until market resolves
SIMMER_CLIMATE_MAX_POSITIONS	8	Max concurrent open positions

Dependency

simmer-sdk is published on PyPI by Simmer Markets.

• PyPI: https://pypi.org/project/simmer-sdk/
• GitHub: https://github.com/SpartanLabsXyz/simmer-sdk
• Publisher: hello@simmer.markets

Review the source before providing live credentials if you require full auditability.