ryanfrigo / kalshi-ai-trading-bot
The honest edge layer for Kalshi prediction markets - an agent-native toolkit (CLI, MCP server, Claude skill) that measures whether you actually beat the book instead of claiming it.
Why this job: says: mcp server; topics: mcp
What it does
An agent-native toolkit for Kalshi whose flagship isn't "an LLM that picks trades" — it's a rigorous, settlement-grounded way to measure whether you actually have edge against the sharp Kalshi book. Many bots in this niche publish returns without settlement-level evidence. This one does the opposite: it ships the tooling to test your own track record honestly, and it refuses to assert edge on thin or leaky data.
Get started
python cli.py dashboardYou need: Python 3.12 or later; A Kalshi account with API access (API docs); An OpenRouter API key (only needed for the AI directional strategy)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 650
- +7 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 84% closed
- 8 still open
- Pull requests
- 65 merged
- 27 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- agentic-ai
- ai-agents
- ai-trading
- automated-trading
- edge-measurement
- kalshi
- kalshi-api
- llm
- machine-learning
- mcp
- portfolio-optimization
- prediction-markets
Project record
- JobMCP servers
- StatusListed
- Commits450
- Forks205
- Watching16
- Stars in 28 days+32
- CreatedJul 26, 2025
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
