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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 dashboard

You 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

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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

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