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Kraken Market Data

Real-time and historical market data from Kraken exchange, optimized for ML/AI trading research.

πŸ†• Latest Update (June 2026)

  • Added SPCXx/USD (SpaceX) - Tokenized SpaceX stock, newly listed on Kraken
  • Real-time OHLC data captured via WebSocket from listing date

Previous Updates

January 2025

  • Added PAXG (PAX Gold) - Tokenized gold data for Gold vs Bitcoin analysis
  • New pairs: PAXG/BTC, PAXG/USD, PAXG/EUR, PAXG/ETH
  • Historical OHLC data across multiple timeframes

Dataset Structure

data/
β”œβ”€β”€ crypto/
β”‚   β”œβ”€β”€ ticker/     # Real-time price snapshots
β”‚   β”œβ”€β”€ book/       # Order book depth (100 levels)
β”‚   β”œβ”€β”€ ohlc/       # OHLC candlestick data
β”‚   └── trade/      # Individual trade executions
β”œβ”€β”€ ohlc_1m/        # 1-minute candles
β”œβ”€β”€ ohlc_5m/        # 5-minute candles
β”œβ”€β”€ ohlc_15m/       # 15-minute candles
β”œβ”€β”€ ohlc_1h/        # 1-hour candles
β”œβ”€β”€ ohlc_4h/        # 4-hour candles
└── ohlc_1d/        # Daily candles

Available Pairs

Cryptocurrencies

Pair Description Data Since
BTC/USD Bitcoin / US Dollar Feb 2024
BTC/EUR Bitcoin / Euro Feb 2024
ETH/USD Ethereum / US Dollar Feb 2024
ETH/EUR Ethereum / Euro Feb 2024
SOL/USD Solana / US Dollar Feb 2024
SOL/EUR Solana / Euro Feb 2024
DOT/USD Polkadot / US Dollar Feb 2024
DOT/EUR Polkadot / Euro Feb 2024
POL/USD Polygon / US Dollar Feb 2024
POL/EUR Polygon / Euro Feb 2024

PAX Gold (Tokenized Gold)

Pair Description Data Since
PAXG/BTC PAX Gold / Bitcoin Feb 2024
PAXG/USD PAX Gold / US Dollar Feb 2024
PAXG/EUR PAX Gold / Euro Feb 2024
PAXG/ETH PAX Gold / Ethereum Feb 2024

Note: PAXG represents 1 troy ounce of London Good Delivery gold stored in Brink's vaults.

Tokenized Stocks (xStocks)

Pair Description Data Since
SPCXx/USD SpaceX / US Dollar Jun 2026
AAPLx/USD Apple / US Dollar Dec 2025
MSFTx/USD Microsoft / US Dollar Dec 2025
NVDAx/USD NVIDIA / US Dollar Dec 2025
TSLAx/USD Tesla / US Dollar Dec 2025
COINx/USD Coinbase / US Dollar Dec 2025
MSTRx/USD MicroStrategy / US Dollar Dec 2025
SPYx/USD S&P 500 ETF / US Dollar Dec 2025
QQQx/USD Nasdaq 100 ETF / US Dollar Dec 2025
GLDx/USD Gold ETF / US Dollar Dec 2025

Note: xStocks are tokenized representations of real-world stocks traded 24/7 on Kraken.

Data Schema

OHLC Data (Parquet)

Column Type Description
timestamp datetime64 Candle open time (UTC)
open float64 Opening price
high float64 Highest price
low float64 Lowest price
close float64 Closing price
vwap float64 Volume-weighted average price
volume float64 Trading volume
count int64 Number of trades

Ticker Data (Parquet)

Column Type Description
ts int64 Timestamp (ms since epoch)
pair string Trading pair
bid float64 Best bid price
ask float64 Best ask price
last float64 Last trade price
volume_24h float64 24h volume
vwap_24h float64 24h VWAP

Order Book Data (Parquet)

Column Type Description
ts int64 Timestamp (ms since epoch)
pair string Trading pair
bids_json string Bid levels as JSON [[price, volume], ...]
asks_json string Ask levels as JSON [[price, volume], ...]

Usage Examples

Load OHLC Data with Pandas

import pandas as pd
from datasets import load_dataset

# Load daily PAXG/BTC data
ds = load_dataset("Abraxasccs/kraken-market-data", data_files="data/ohlc_1d/PAXG_BTC*.parquet")
df = ds['train'].to_pandas()

# Calculate returns
df['returns'] = df['close'].pct_change()
print(df.tail())

Load Multiple Timeframes

import pandas as pd

# Load from HuggingFace
base_url = "hf://datasets/Abraxasccs/kraken-market-data/data"

btc_1d = pd.read_parquet(f"{base_url}/ohlc_1d/BTC_USD_1d_history.parquet")
btc_4h = pd.read_parquet(f"{base_url}/ohlc_4h/BTC_USD_4h_history.parquet")

print(f"Daily candles: {len(btc_1d)}")
print(f"4H candles: {len(btc_4h)}")

Gold vs Bitcoin Analysis

import pandas as pd

base_url = "hf://datasets/Abraxasccs/kraken-market-data/data"

# Load PAXG/BTC ratio
paxg_btc = pd.read_parquet(f"{base_url}/ohlc_1d/PAXG_BTC_1d_history.parquet")
paxg_btc.set_index('timestamp', inplace=True)

# Calculate z-score for mean reversion
mean = paxg_btc['close'].rolling(50).mean()
std = paxg_btc['close'].rolling(50).std()
paxg_btc['zscore'] = (paxg_btc['close'] - mean) / std

# Find extreme readings
overbought = paxg_btc[paxg_btc['zscore'] > 2]
oversold = paxg_btc[paxg_btc['zscore'] < -2]

Data Collection

  • Source: Kraken Exchange WebSocket API v2 & REST API
  • Update Frequency: Real-time (WebSocket) + Hourly (REST OHLC)
  • Storage: Apache Parquet format
  • Timezone: UTC

License

MIT License - Free for commercial and non-commercial use.

Citation

@dataset{kraken_market_data_2025,
  author = {Lugo Munoz, German Gregorio},
  title = {Kraken Market Data},
  year = {2025},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/Abraxasccs/kraken-market-data}
}

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