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CandleFeed

Crypto market data through one API. Candles, funding, open interest, liquidations and more, straight into a pandas DataFrame.

Visit candlefeed.ai (opens external site) Read the docs (opens external site)
pythonexample from the candlefeed client README
$ pip install candlefeed

from candlefeed import CandleFeed

cf = CandleFeed(api_key="cf_live_...")
df = cf.get_ohlcv("BTCUSDT", interval="1h", limit=5)
# tz-aware DatetimeIndex, float columns, ready for .resample()
                              open      high       low     close
time
2026-06-06 18:00:00+00:00  69841.0   70120.5   69770.0   70011.2
2026-06-06 19:00:00+00:00  70011.2   70250.0   69905.1   70180.9
...

Output as published in the candlefeed client README (Binance BTCUSDT perp, 1h, 2026-06-06 UTC).

01 What it does

The datasets a derivatives backtest needs, time-aligned in one call.

  • get_ohlcv

    Candles

    OHLCV from 1-minute to daily bars, perp plus Binance spot.

  • get_funding_rates

    Funding rates

    Per venue, or open-interest weighted across venues.

  • get_open_interest

    Open interest

    Aggregate positioning, 5-minute to daily.

  • get_liquidations

    Liquidations

    Tick events, bucketed series and aggregated daily history.

  • get_long_short_ratio

    Long/short ratio

    Account long/short ratio.

  • get_taker_volume

    Taker volume

    Aggressive buy and sell volume.

  • get_basis

    Basis

    Futures basis and premium against spot.

  • coming soon

    L2 order book

    Depth snapshots.

  • Binance
  • Bybit
  • OKX
  • Hyperliquid
  • dYdX

Who it’s for

Traders, quants and data engineers who would rather research than write exchange scrapers. The Python client handles auth, pagination and rate limits; you get a DataFrame.

Pricing, docs and coverage live on candlefeed.ai.

See pricing (opens external site) Read the docs (opens external site)
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