pp-kalshi

To analyze Kalshi prediction market portfolio performance, you can use command-based interactions like 'portfolio attribution' to reconcile daily P&L, track open positions, and assess risk exposure across categories. The Skill retrieves market data via Kalshi's API to perform these analytics.

Yes, you can retrieve historical odds and track Kalshi market movements over time. The Skill provides historical data analysis tools that query Kalshi's API, allowing you to analyze how specific prediction markets have shifted and discover correlated events for trading decisions.

Yes, you need the kalshi-pp-cli installed and configured with proper API access to manage Kalshi trading positions. This command-line interface handles the interactions with Kalshi's API to retrieve market data, manage positions, and perform portfolio analytics.

The best way to assess risk exposure across prediction market categories is by using the portfolio support features to track open positions and reconcile daily P&L distributions. This allows you to evaluate your risk exposure across various Kalshi market categories.

Kalshi portfolio management handles daily profit and loss reconciliation by tracking open positions and evaluating P&L distribution across categories. It uses command-based API interactions to retrieve the necessary market data for accurate daily performance attribution.

Limitations when using Kalshi API commands for market history analysis include the dependency on having kalshi-pp-cli properly installed and configured with valid API access. Without this environment setup, the historical data queries and portfolio analytics cannot be executed.