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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.
Passed 21 of 22 test cases with the skill, and 20 of 22 without it.
1 fixed20 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
How do I implement cross-exchange best bid and offer aggregation across Coinbase, Kraken, and Gemini for the BTC-USD pair using Python's Cryptofeed framework? Please output a working code example that registers multiple exchange venues together and triggers a custom notification whenever the top market prices shift.
| Checked | Without skill | With skill |
|---|---|---|
| Uses the add_nbbo method on FeedHandler rather than custom price aggregation logic | Missed | Passed |
| Passes Coinbase, Kraken, and Gemini to the add_nbbo call | Missed | Passed |
The instructions your model reads when the skill loads.
Comprehensive assistance with Cryptofeed development - a Python library for handling cryptocurrency exchange data feeds with normalized and standardized results.
This skill should be triggered when:
# Basic installation
pip install cryptofeed
# With all optional backends
pip install cryptofeed[all]
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}")
test cases passed, vs 20 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.