cryptofeed

A Python library for receiving live cryptocurrency market data from many exchanges in a common format. It can stream prices, trades, and order books over WebSockets, which are connections that deliver updates as they happen.

In plain words
What is it for?
Use it to collect real-time tickers, trades, and order-book updates, connect to supported exchanges, build trading systems, or send market data to services such as Redis, MongoDB, or Kafka.
Why use it?
It avoids writing separate data-handling code for every cryptocurrency exchange. Standardised data makes it easier to analyse markets or feed live data into trading systems and storage services.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/godmakereth/vibe-coding-tw/cryptofeed
Any agent
npx skills add godmakereth/vibe-coding-tw --skill cryptofeed
Clone the repo
git clone --depth 1 https://github.com/godmakereth/vibe-coding-tw

Made for: Claude Code, Codex.

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,621 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.01621
Opus 5 $0.00023 $0.00811
Sonnet 5 $0.00009 $0.00324
Haiku 4.5 $0.00005 $0.00162

Measured 2d ago against content hash 8770d46cbc52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cryptofeed scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

97% identical to cryptofeed — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/cryptofeed/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

# Basic installation
pip install cryptofeed

# With all optional backends
pip install cryptofeed[all]

Basic Usage Pattern

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)

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

Read the full file on GitHub · 222 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 222 lines · 46 tokens per session scan A 8770d46cbc52

Subscribe to this mod's changes

cryptofeed is a skill published in the GitHub repository godmakereth/vibe-coding-tw (47 stars, last pushed 8mo ago), licensed MIT. It adds 46 tokens to every session and 1,621 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to cryptofeed, differing in 1 line, and is treated as a copy.

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