Horizon SDKv0.5.5

A quantitative hedge fund uses the skill to manage prediction market portfolios, executing trades on Polymarket and Kalshi. It applies Kelly sizing for optimal position sizing and runs Monte Carlo simulations to assess portfolio risk, while using risk management features like stop-loss orders to protect capital.

A political consulting firm employs the skill to monitor and trade on election prediction markets, using market discovery to track sentiment and event discovery for multi-outcome races. They analyze trade flow and top holders to gauge insider activity and adjust campaign strategies based on real-time probability shifts.

A sports analytics company integrates the skill to trade on sports prediction markets, using feed data for live odds and parity checks to identify arbitrage opportunities. They perform quantitative analytics with AFML tools to model outcomes and optimize betting strategies across exchanges.

A cryptocurrency research firm uses the skill to trade on crypto-related prediction markets, discovering markets via tags and analyzing wallet activity for insights. They run cross-exchange arbitrage between platforms like Polymarket and Kalshi to capitalize on price discrepancies in volatile events.

An institutional trading desk implements the skill to manage risk in prediction market exposures, using kill switches for emergency stops and contingent orders for automated stop-loss/take-profit. They monitor feed health and connection metrics to ensure data reliability for high-frequency trading decisions.

Offer the skill as a cloud-based service with tiered subscriptions, providing API access and advanced features like Monte Carlo simulations and AFML analytics. Revenue is generated through monthly fees based on usage tiers and data access levels, targeting hedge funds and trading firms.

Provide consulting services to integrate the skill into clients' existing trading systems, offering custom development for specific use cases like arbitrage or risk management. Revenue comes from project-based fees and ongoing support contracts, catering to enterprises in finance and politics.

Monetize the skill's data outputs by selling aggregated market insights, feed metrics, and analytics reports to researchers and media outlets. Revenue is generated through one-time purchases or subscription plans for premium data feeds and predictive models.