muxprotocol

muxprotocol / kalshi-trading-bot

Public

kalshi trading bot on prediction market

kalshi kalshi-bot kalshi-trade-copy polymarket prediction-market
88
0
89% credibility
Found Apr 24, 2026 at 130 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project is an AI-driven trading bot for Kalshi prediction markets that uses multiple specialized agents to analyze, debate, and execute trades with built-in risk controls and paper trading.

How It Works

1
🔍 Discover the Smart Trader

You find this AI-powered helper that automatically trades prediction markets on Kalshi while you sleep.

2
💻 Get It Ready

Download and set up the program on your computer with easy steps.

3
🔗 Connect Your Accounts

Link your prediction market account and AI thinkers so the bot can analyze opportunities.

4
✅ Check Everything Works

Run a quick health check to confirm your setup is good to go.

5
🚀 Start Practice Mode

Launch the bot in safe simulation to watch it scout markets, debate ideas, and pretend-trade without risking money.

6
📊 Review Performance

Peek at the dashboard for trade history, wins, and insights to build confidence.

💰 Switch to Real Trading

Turn on live mode when ready, and let the bot trade smartly for real profits day and night.

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Star Growth

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AI-Generated Review

What is kalshi-trading-bot?

This TypeScript bot automates trading on Kalshi prediction markets using a multi-LLM ensemble via OpenRouter and the Kalshi API. It runs specialized AI agents—forecasters, news analysts, bull/bear researchers, and risk managers—that debate edges before executing Kelly-sized trades with stop-losses and daily limits. Users get a CLI for paper trading, live runs, dashboards, and strategies like safe compounding on NO-side bets or market making, solving emotional trading on events from weather to BTC.

Why is it gaining traction?

Unlike single-model kalshi trading bots on GitHub or Python clones, it ensembles five frontier LLMs (Claude, GPT, Gemini, Grok, DeepSeek) with debate and disagreement penalties for sharper signals, plus hard AI cost caps at $10/day and category scoring to avoid weak markets. The rich CLI (run, dashboard, health) and built-in paper mode let devs test kalshi trading strategies risk-free, while WebSocket streaming keeps data fresh without API hammering.

Who should use this?

Prediction market traders building kalshi automated trading bots or kalshi ai trading bots for BTC, weather, or econ events. Quant devs tweaking kalshi trading bot strategies via config, or hobbyists running kalshi btc trading bot or polymarket arbitrage plays on a VPS. Skip if you're new to Kalshi trading fees or API keys.

Verdict

Solid starter for AI-driven Kalshi trading (88 stars, strong README/CLI/docs, Vitest coverage on core paths), but 0.9% credibility score flags early maturity—paper trade extensively first. PRs could push it to production-ready.

(198 words)

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