Learn how to monitor and alert on production Kalshi trading bots — covering health checks, PnL drift detection, position limits, dead-man switches, and incident response.
Learn when to use the Kalshi WebSocket API vs REST API in your trading bot. Covers latency, polling limits, orderbook streaming, and practical architecture patterns.
Compare Railway, Heroku, AWS Lambda, and self-hosted VPS for running a Kalshi trading bot 24/7. Costs, latency, setup complexity, and our recommendation for each use case.
Kalshi's order-status API returns filled_price=None for filled orders, so most bots book the limit price and over-report losses ~2.4x. How to detect and fix the phantom-loss trap.
How AI and LLMs are transforming prediction market trading — signal generation, multi-agent systems, and building AI-powered Kalshi bots.
Catalog of every open-source Kalshi trading bot: AI agents, market makers, arbitrage and weather bots — with honest notes on what each does well.
Complete Kalshi API guide — authentication, markets, orderbooks, placing orders, and managing positions. With Python examples.
Build your first Kalshi trading bot with Python in under an hour. Covers authentication, market data, orders, and a working bot.
Yes, Kalshi allows trading bots. Complete 2026 guide: types of bots, how they work, and how to build or use one for automated trading.
Drop in Mon, Tue & Wed at 9 AM Pacific — we'll help you build and run your Kalshi bots, live. Everyone welcome, no registration.
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