Kalshi Traderv1.0.0

An individual prediction market enthusiast sets up the skill to scan Kalshi every 15 minutes, research opportunities via web_fetch, and place trades that meet strict EV IRR and half-Kelly criteria. They receive daily Telegram summaries of P&L and open positions, effectively running a personal hedge fund from their laptop.

A small quantitative trading group deploys the bot as a core execution engine for Kalshi, using the EV IRR and half-Kelly rules to allocate capital across many markets. They layer in custom research sources and run daily P&L reports to track fee drag and portfolio value.

A media or research organization monitors political, economic, and weather events and uses the Kalshi Trader to take positions based on their proprietary research. The bot enforces disciplined entry/exit rules, turning editorial insights into tradable prediction market positions.

A crypto-native DAO allocates a portion of its treasury to Kalshi prediction markets and uses the bot to systematically trade mispriced contracts. The EV IRR filter and half-Kelly sizing provide a rules-based way to grow treasury without manual oversight.

An individual who already trades on Kalshi part-time wants to remove emotion from decisions by relying on the bot's strict criteria: no price-based stop losses, research-driven exits, and daily summary reports. They use the skill to enforce discipline and track performance.

Offer the Kalshi Trader as a managed service where users connect their Kalshi API keys and receive automated trading, research, and daily reports. Charge a monthly subscription fee for access to the bot and infrastructure.

Run the bot on behalf of clients or investors and take a percentage of realized profits above a hurdle rate. This aligns incentives with trading performance and attracts users who prefer not to pay upfront.

License the underlying bot engine to brokers, hedge funds, or media companies that want to offer prediction market trading to their clients or use it internally. Provide customization, support, and API integration.