Polymarket Twitter Cross Contagion Traderv0.0.3

Exploit cross-contagion between political figures like Elon Musk and Donald Trump during election cycles. When one figure's posting rate spikes, the skill increases conviction on the correlated figure's higher post-count bins. Useful for capitalizing on correlated social media activity that markets price independently.

Leverage posting correlations between crypto influencers like Vitalik Buterin and Changpeng Zhao. During crypto market volatility, when one influencer posts heavily, the skill trades the other's post-count markets with adjusted conviction. Provides alpha in short-duration event markets.

Track posting patterns of celebrities or influencers in entertainment. When a major figure like Taylor Swift posts frequently, correlated artists may also increase activity. The skill exploits this inter-person correlation in social media activity markets.

Apply the contagion model to CEOs of competing companies. When one CEO posts about earnings, the skill anticipates increased posting from rivals. Useful for trading markets on CEO social media activity around earnings season.

Integrate with real-time Twitter monitoring to detect contagion from breaking news. When a sudden event causes one public figure to post, the skill quickly trades correlated figures' markets before prices adjust. Requires low-latency data feeds.

Use the skill internally to trade prediction markets on Polymarket, generating returns from mispriced cross-person correlation. Risk-managed with paper trading defaults for safety.

Provide liquidity on post-count bin markets by quoting two-sided prices informed by contagion signals. Capture bid-ask spreads while managing inventory risk using the skill's risk parameters.

Offer the contagion detection methodology as a subscription service to hedge funds or retail traders. Provide real-time signals and dashboards without executing trades.