polymarket-twitter-cadence-model-traderTrades post-count bin markets using a Poisson statistical model to predict the most likely bins based on historical posting rates. Requires SIMMER_API_KEY an...
Install via ClawdBot CLI:
clawdbot install diagnostikon/polymarket-twitter-cadence-model-traderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://simmer.markets/skillsAudited Apr 18, 2026 · audit v1.0
Generated May 22, 2026
Leverage the Poisson model to automatically trade post-count bin markets on Polymarket. The skill identifies mispriced bins by comparing model probabilities to market prices, executing trades when divergences exceed thresholds. Ideal for users who want to systematically profit from statistical arbitrage in prediction markets.
Apply the skill to trade bin markets around political figures like Donald Trump on Truth Social. By using historical posting rates (e.g., 23 posts/day), the model predicts likely post counts and trades against market sentiment. Useful for political analysts and traders in influence-driven markets.
Integrate with Twitter/X API v2 to replace baseline daily rates with real-time 7-day rolling averages. This remix allows the model to adapt to recent posting behavior, improving accuracy for high-frequency posters like Elon Musk. Targeted at social media researchers and quantitative traders.
Run the skill in paper trading mode (default) to backtest the Poisson model against historical post-count markets without financial risk. Use it to validate the strategy's performance and tweak risk parameters before going live. Suitable for risk-averse traders and developers validating their alpha.
Extend the template skill with NLP topic-burst detection or time-of-day distributions to create event-driven trading bots. For example, detect when a figure enters 'thread mode' (3x posting rate) and adjust positions accordingly. Aimed at advanced users building bespoke trading systems.
Offer access to the skill's output (trade signals) as a subscription service for retail traders. Users pay a monthly fee to receive automated trade recommendations based on the Poisson model. Revenue is generated from subscription fees.
Use the skill to provide liquidity on post-count bin markets by placing bids and asks around the model's fair price. Capture the bid-ask spread while managing inventory risk. Revenue comes from spread capture and trading profits.
Leverage the statistical model to provide consulting services to clients interested in social media posting patterns. Offer insights, dashboards, and custom models for influencers, brands, or political campaigns. Revenue comes from project-based consulting fees.
💬 Integration Tip
Start with the default paper trading mode to backtest the Poisson model risk-free. To go live, pass the --live flag and ensure SIMMER_API_KEY has limited permissions.
Scored May 22, 2026
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