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A bot for Kalshi is an automated trading system that connects to Kalshi’s official API to trade event contracts programmatically. Kalshi is a CFTC-regulated U.S. exchange that lists binary event markets, where contracts settle at $1 if an event occurs and $0 if it does not. These events cover categories such as economics (e.g., CPI releases), politics, weather, public policy, and other measurable outcomes. A trading bot interacts directly with the exchange’s infrastructure to retrieve market data and submit orders without manual input.

Technically, a Kalshi bot uses API authentication credentials to access endpoints for market data, order placement, order cancellation, and account management. It can pull order book depth, recent trades, and contract metadata, then apply predefined logic to determine when to buy or sell contracts. Orders are executed electronically through the exchange, subject to liquidity, pricing, and rate-limit constraints defined by Kalshi. Bots are typically written in Python, though any language capable of making secure HTTPS requests can be used.

Legitimate uses of Kalshi bots include quantitative trading strategies, statistical forecasting models, liquidity provision (market making), and automated risk management. Some traders use bots to systematically trade around scheduled economic releases or to hedge exposures tied to real-world outcomes. Institutional participants may integrate Kalshi markets into broader portfolio strategies using algorithmic execution.

However, bots do not guarantee profitability. Event markets can be illiquid, spreads can widen, and pricing can shift rapidly as new information emerges. Developers must account for execution risk, slippage, API failures, capital management, and compliance with exchange rules. Because Kalshi is regulated, all participants—including automated traders—must adhere to account verification requirements and trading policies.