polymarket-24h-precipitation-range-traderTrades mispricings in precipitation-range markets by reconstructing the implied probability distribution across bins for the same city and period, detecting...
Install via ClawdBot CLI:
clawdbot install diagnostikon/polymarket-24h-precipitation-range-traderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://pypi.org/project/simmer-sdk/Audited Apr 16, 2026 · audit v1.0
Generated Oct 5, 2026
A quantitative weather trading desk runs the skill across dozens of Polymarket precipitation bins for cities like Seattle, Denver, and Miami. It detects sum deviations and monotonicity breaks in cumulative rainfall markets, then executes sized trades when violations exceed tolerance.
An independent trader uses the paper-trading default to backtest the distribution-sum strategy on historical precipitation market snapshots. Once validated, they enable live mode with conservative position limits to capture small, repeatable mispricings across monthly city markets.
A climate analytics company bundles the trader as a signal module alongside its weather API feed and historical precipitation datasets. Clients subscribe to receive ranked violation alerts and automated execution via Simmer, turning raw climate data into tradable edge.
An academic or hedge-fund research team uses the template to study whether prediction market prices efficiently aggregate precipitation probabilities. They remix the signal logic with climate model ensembles to compare market-implied distributions against model-derived ones.
A bot operator deploys the trader on a cron schedule to continuously scan Polymarket for precipitation range and cumulative market inconsistencies. The service charges a performance fee on profits or a flat subscription for managed execution.
Charge a percentage of realized trading profits generated by the distribution arbitrage signals. Aligns incentives with the agent operator and scales with the number and magnitude of violations captured.
Offer tiered subscriptions that provide ranked violation alerts, historical backtest data, and configurable threshold parameters. Subscribers still execute trades on their own Simmer credentials, keeping the provider out of custody.
Operate the bot on behalf of clients who deposit USDC and authorize automated execution through Simmer. The operator manages tunables, risk limits, and live-mode deployment in exchange for management and incentive fees.
💬 Integration Tip
Start in paper mode and backtest against historical precipitation market prices before enabling --live, and tune SIMMER_SUM_TOLERANCE and threshold gates to filter out noise from low-liquidity bins. Ensure SIMMER_API_KEY is stored securely and cap SIMMER_MAX_POSITIONS to manage concurrent exposure.
Scored Apr 19, 2026
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