kalshi-markets

Real-time market data from Kalshi prediction markets is fetched using this Skill's CLI commands. Run `uv run markets.py` to list available markets or `uv run market.py TICKER --json` to retrieve detailed pricing, odds, and orderbook data for a specific market in structured JSON format.

Yes. This Skill provides programmatic access to Kalshi trading analytics, including real-time prices, odds, orderbooks, trade history, and volume data. Use the CLI with JSON output flags to retrieve structured analytics suitable for automated decision-making and market analysis workflows.

Monitor election and sports betting markets by using the market listing and discovery features to filter relevant event series, then retrieve detailed market data including prices and trades. The Skill supports structured output and error handling, enabling continuous monitoring and analysis of prediction market trends.

The Skill requires httpx, click, and pandas as dependencies, which are automatically managed. No API key configuration is detailed in the metadata. Start immediately with `uv run markets.py` for market discovery or `uv run market.py TICKER` for specific market analysis.

Export market data using the `--json` flag to retrieve structured outputs compatible with pandas DataFrames and downstream analytics tools. The Skill's CLI integration and pandas dependency enable seamless export and transformation of prices, trades, and event series data for deeper analysis.

The Skill provides real-time access with built-in error handling but concrete scaling limits are not specified in the documentation. Test throughput and rate-limiting behavior against your use case; refer to Kalshi API documentation for service-level constraints on market data volume and request frequency.