Does it support saving data to external databases?

Absolutely. It features built-in backend support for various storage solutions including Redis, MongoDB, InfluxDB, Kafka, and PostgreSQL.

Can I use this skill to handle order book data?

Yes, it provides full support for L1, L2, and L3 order books, allowing you to track price-aggregated sizes and individual orders in real-time.

Which exchanges are supported by the Cryptofeed skill?

Cryptofeed supports over 40 major exchanges including Binance, Coinbase, Kraken, Bitfinex, OKX, Gemini, and many others.

What is the NBBO feature in Cryptofeed?

NBBO (National Best Bid/Offer) allows you to aggregate data from multiple exchanges simultaneously to find the best possible bid and ask prices across the market.

Cryptofeed Market Data

Name: Cryptofeed Market Data
Author: tianzecn

bytianzecn

•

데이터 과학 및 ML

Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.

소개

The Cryptofeed skill provides specialized assistance for developers using the Cryptofeed Python library to handle real-time cryptocurrency exchange data. It simplifies the process of connecting to multiple WebSocket feeds, normalizing disparate data structures into a consistent format, and implementing advanced features like National Best Bid/Offer (NBBO) aggregation. This skill is essential for building robust trading bots, market monitoring tools, and data archival systems that require high-performance integration with dozens of major crypto platforms.

주요 기능

Comprehensive order book management including L1, L2, and L3 depth
Built-in backend integration for Redis, Kafka, InfluxDB, and more
Real-time WebSocket support with automatic reconnection and REST fallback
Synthetic NBBO aggregation for cross-exchange arbitrage analysis
1 GitHub stars
Normalized data streaming from 40+ cryptocurrency exchanges

사용 사례

Developing high-frequency algorithmic trading systems with low-latency data
Aggregating cross-exchange liquidity for market sentiment analysis
Archiving real-time market data to time-series databases for backtesting

소개

주요 기능

Comprehensive order book management including L1, L2, and L3 depth
Built-in backend integration for Redis, Kafka, InfluxDB, and more
Real-time WebSocket support with automatic reconnection and REST fallback
Synthetic NBBO aggregation for cross-exchange arbitrage analysis
1 GitHub stars
Normalized data streaming from 40+ cryptocurrency exchanges

사용 사례

Developing high-frequency algorithmic trading systems with low-latency data
Aggregating cross-exchange liquidity for market sentiment analysis
Archiving real-time market data to time-series databases for backtesting