cryptofeed
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
What this skill does
# Cryptofeed Skill
Comprehensive assistance with Cryptofeed development - a Python library for handling cryptocurrency exchange data feeds with normalized and standardized results.
## When to Use This Skill
This skill should be triggered when:
- Working with real-time cryptocurrency market data
- Implementing WebSocket streaming from crypto exchanges
- Building algorithmic trading systems
- Processing order book updates, trades, or ticker data
- Connecting to 40+ cryptocurrency exchanges
- Using normalized exchange APIs
- Implementing market data backends (Redis, MongoDB, Kafka, etc.)
## Quick Reference
### Installation
```python
# Basic installation
pip install cryptofeed
# With all optional backends
pip install cryptofeed[all]
```
### Basic Usage Pattern
```python
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Bitfinex
from cryptofeed.defines import TICKER, TRADES, L2_BOOK
# Define callbacks
def ticker_callback(data):
print(f"Ticker: {data}")
def trade_callback(data):
print(f"Trade: {data}")
# Create feed handler
fh = FeedHandler()
# Add exchange feeds
fh.add_feed(Coinbase(
symbols=['BTC-USD'],
channels=[TICKER],
callbacks={TICKER: ticker_callback}
))
fh.add_feed(Bitfinex(
symbols=['BTC-USD'],
channels=[TRADES],
callbacks={TRADES: trade_callback}
))
# Start receiving data
fh.run()
```
### National Best Bid/Offer (NBBO)
```python
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Gemini, Kraken
def nbbo_update(symbol, bid, bid_size, ask, ask_size, bid_feed, ask_feed):
print(f'Pair: {symbol} Bid: {bid:.2f} ({bid_size:.6f}) from {bid_feed}')
print(f'Ask: {ask:.2f} ({ask_size:.6f}) from {ask_feed}')
f = FeedHandler()
f.add_nbbo([Coinbase, Kraken, Gemini], ['BTC-USD'], nbbo_update)
f.run()
```
## Supported Exchanges (40+)
### Major Exchanges
- **Binance** (Spot, Futures, Delivery, US)
- **Coinbase**, **Kraken** (Spot, Futures), **Bitfinex**
- **Gemini**, **OKX**, **Bybit**
- **Huobi** (Spot, DM, Swap), **Gate.io** (Spot, Futures)
- **KuCoin**, **Deribit**, **BitMEX**, **dYdX**
### Additional Exchanges
AscendEX, Bequant, bitFlyer, Bithumb, Bitstamp, Blockchain.com, Bit.com, Bitget, Crypto.com, Delta, EXX, FMFW.io, HitBTC, Independent Reserve, OKCoin, Phemex, Poloniex, ProBit, Upbit
## Supported Data Channels
### Market Data (Public)
- **L1_BOOK** - Top of order book
- **L2_BOOK** - Price aggregated sizes
- **L3_BOOK** - Price aggregated orders
- **TRADES** - Executed trades (taker side)
- **TICKER** - Price ticker updates
- **FUNDING** - Funding rate data
- **OPEN_INTEREST** - Open interest statistics
- **LIQUIDATIONS** - Liquidation events
- **INDEX** - Index price data
- **CANDLES** - Candlestick/K-line data
### Authenticated Channels (Private)
- **ORDER_INFO** - Order status updates
- **TRANSACTIONS** - Deposits and withdrawals
- **BALANCES** - Wallet balance updates
- **FILLS** - User's executed trades
## Supported Backends
Write data directly to storage:
- **Redis** (Streams and Sorted Sets)
- **Arctic** - Time-series database
- **ZeroMQ**, **InfluxDB v2**, **MongoDB**
- **Kafka**, **RabbitMQ**, **PostgreSQL**
- **QuasarDB**, **GCP Pub/Sub**, **QuestDB**
- **UDP/TCP/Unix Sockets**
## Key Features
### Real-time Data Normalization
Cryptofeed normalizes data across all exchanges, providing consistent:
- Symbol formatting
- Timestamp handling
- Data structures
- Channel names
### WebSocket + REST Fallback
- Primarily uses WebSockets for real-time data
- Falls back to REST polling when WebSocket unavailable
- Automatic reconnection handling
### NBBO Aggregation
Create synthetic National Best Bid/Offer feeds by aggregating data across multiple exchanges to find arbitrage opportunities.
### Backend Integration
Direct data writing to various storage systems without custom integration code.
## Requirements
- **Python**: 3.8 or higher
- **Installation**: Via pip or from source
- **Optional Dependencies**: Install backends as needed
## Common Use Cases
### Multi-Exchange Price Monitoring
```python
fh = FeedHandler()
fh.add_feed(Binance(symbols=['BTC-USDT'], channels=[TICKER], callbacks=ticker_cb))
fh.add_feed(Coinbase(symbols=['BTC-USD'], channels=[TICKER], callbacks=ticker_cb))
fh.add_feed(Kraken(symbols=['BTC-USD'], channels=[TICKER], callbacks=ticker_cb))
fh.run()
```
### Order Book Depth Analysis
```python
def book_callback(book, receipt_timestamp):
print(f"Bids: {len(book.book.bids)} | Asks: {len(book.book.asks)}")
fh.add_feed(Coinbase(
symbols=['BTC-USD'],
channels=[L2_BOOK],
callbacks={L2_BOOK: book_callback}
))
```
### Trade Flow Analysis
```python
def trade_callback(trade, receipt_timestamp):
print(f"{trade.exchange} - {trade.symbol}: {trade.side} {trade.amount} @ {trade.price}")
fh.add_feed(Binance(
symbols=['BTC-USDT', 'ETH-USDT'],
channels=[TRADES],
callbacks={TRADES: trade_callback}
))
```
## Reference Files
This skill includes documentation in `references/`:
- **getting_started.md** - Installation and basic usage
- **README.md** - Complete overview and examples
Use `view` to read specific reference files when detailed information is needed.
## Working with This Skill
### For Beginners
Start with basic FeedHandler setup and single exchange connections before adding multiple feeds.
### For Advanced Users
Explore NBBO feeds, authenticated channels, and backend integrations for production systems.
### For Code Examples
See the quick reference section above and the reference files for complete working examples.
## Resources
- **Repository**: https://github.com/bmoscon/cryptofeed
- **PyPI**: https://pypi.python.org/pypi/cryptofeed
- **Examples**: https://github.com/bmoscon/cryptofeed/tree/master/examples
- **Documentation**: https://github.com/bmoscon/cryptofeed/blob/master/docs/README.md
- **Discord**: https://discord.gg/zaBYaGAYfR
- **Related**: Cryptostore (containerized data storage)
## Notes
- Requires Python 3.8+
- WebSocket-first approach with REST fallback
- Normalized data across all exchanges
- Active development and community support
- 40+ supported exchanges and growing
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