skills.rest
sentientsprite
sentientspriteCOMMUNITY
Explore all skills by this author →
GitHub

Kalshi API Skill

Interact with the Kalshi prediction market API for automated trading.

Updated Feb 12, 2026
Search Tags:#automation#api#finance#trading#kalshi#prediction markets
One-click install
npx skills add https://github.com/sentientsprite/nemo-agent --skill kalshi-api-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Kalshi API Skill
Source: https://github.com/sentientsprite/nemo-agent/tree/main/skills/kalshi-api
Command: npx skills add https://github.com/sentientsprite/nemo-agent --skill kalshi-api-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables automated trading on Kalshi prediction markets, facilitating both paper and live trading operations.

Core Features & Use Cases

  • Market Data Retrieval: Access real-time and historical data for various prediction markets.
  • Order Placement: Execute trades (buy/sell) for 'yes' or 'no' outcomes in specified markets.
  • Portfolio Management: Track current positions and account balances.
  • Use Case: Automatically place a 'yes' order on a market predicting a specific event outcome if the price falls below a certain threshold, and set a stop-loss to manage risk.

Quick Start

Use the kalshi skill to place a 'yes' order for 100 contracts on market KC-WS-2024 at a price of 55 cents.

Frequently Asked Questions about Kalshi API Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate trading on Kalshi prediction markets?▼

Automating Kalshi prediction market trading requires an API interface for market data retrieval, order placement, and portfolio tracking. This Skill supports both demo and live trading modes with built-in safety rules for position sizing.

Can I place both yes and no orders on Kalshi markets through an API?▼

Yes, you can place both 'yes' and 'no' outcome orders on Kalshi markets via API. The interface supports executing buy and sell trades for specified prediction markets based on price thresholds.

Does automated Kalshi trading require API credentials for demo trading?▼

Yes, API credentials are required for both demo and live Kalshi trading. The interface needs authentication to retrieve market data, place orders, and track portfolio positions safely.

What safety rules are built into automated Kalshi trading?▼

Built-in safety rules for automated Kalshi trading include position sizing limits and daily loss limits. These constraints manage risk during automated order placement and portfolio tracking.

How do I retrieve real-time and historical market data from Kalshi?▼

Retrieve Kalshi market data by using the API's data retrieval functions to access real-time and historical prices. This enables automated systems to query various prediction markets for current and past data.

Can I track my Kalshi portfolio positions and account balance automatically?▼

Yes, you can automatically track Kalshi portfolio positions and account balances using the API's portfolio management features. This enables continuous monitoring of current holdings during automated trading.

Related Skills

Explore More Finance & Accounting Skills→
michaelschechtmichaelschecht
1

kalshi-markets

Retrieve Kalshi prediction market data and analytics via Python.

Community
Intermediate
AradotsoAradotso
7

polymarket-mcp-server

Analyze Polymarket prediction markets, execute trades, and monitor positions via WebSocket subscriptions.

Official
Advanced
sayujks0071sayujks0071
1

risk-management

Calculate and enforce risk controls for trading portfolios.

Community
Advanced
guzusguzus
196

dr-manhattan

Expose a CCXT-style unified API for prediction market trading.

Community
Advanced