ccxt

Fetch OHLCV, tickers, and order books from 100+ crypto exchanges via CCXT.

Updated May 15, 2026
One-click install
npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill ccxt-philipcoller-777
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ccxt
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/ccxt
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill ccxt-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CCXT provides a single interface to access public market data and trading features across 100+ crypto exchanges, reducing integration complexity.

Core Features & Use Cases

  • Unified API: Retrieve OHLCV, tickers, and order books from many exchanges with one library.
  • Public Data Access: No API keys required for public market data, enabling quick experimentation.
  • Use Case: Build dashboards that compare prices across exchanges or run simple cross-exchange analytics.

Quick Start

Install the ccxt package and start querying data from a supported exchange.

Frequently Asked Questions about ccxt

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

FAQPage Schema
How do I fetch OHLCV data from multiple crypto exchanges using one library?

You can fetch OHLCV data from 100+ crypto exchanges using a unified API library. It provides a single interface to retrieve tickers and order books, eliminating the need to integrate separate exchange APIs for cross-venue price analysis.

Do I need API keys to access public cryptocurrency market data for dashboards?

No API keys are required to access public cryptocurrency market data. You can retrieve OHLCV, tickers, and order books for quick experimentation and building dashboards that compare prices across exchanges without authentication.

Can I use Python to retrieve crypto tickers and order books across exchanges?

Yes, you can use a Python environment to retrieve crypto tickers and order books. The unified library supports querying public market data across 100+ supported exchanges to run simple cross-exchange analytics workflows.

What's the best way to build cross-exchange crypto analytics without complex integration?

The best way to build cross-exchange crypto analytics is using a unified library that provides a single interface to 100+ exchanges. This reduces integration complexity by standardizing access to public market data like OHLCV and order books.

Does this unified crypto exchange library work with simple trading workflows?

Yes, the unified crypto exchange library works with simple trading workflows. It allows you to apply standardized public market data retrieval to build dashboards and run basic cross-venue analytics spanning multiple exchanges.