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Traditional cryptocurrency market data across spot, futures, and options markets delivered via Amazon S3 and Snowflake for comprehensive trading and analytics applications.

S3

Spot Market Data (S3)

Futures Market Data (S3)

Options Market Data (S3)

Snowflake Tables

All Snowflake tables are versioned. Below are the latest available versions.

Spot (Snowflake)

Available in the MARKET_SPOT schema.

Futures (Snowflake)

Available in the MARKET_FUTURES schema.

Options (Snowflake)

Available in the MARKET_OPTIONS schema.

Data Field Descriptions

Spot Market Fields

Order Book Snapshots

Spot Trades

Spot OHLCV

Futures Market Fields

Funding Rates

Liquidations

Open Interest

Options Market Fields

Options Trades

Use Cases and Applications

Spot Market Applications

  • Trading Strategy Development: Backtest strategies using historical spot market data
  • Market Making: Analyze order book dynamics for algorithmic trading
  • Price Discovery Research: Study how prices form across different exchanges
  • Arbitrage Detection: Identify price differences across exchanges and timeframes
  • Liquidity Analysis: Understand market depth and trading patterns

Futures Market Applications

  • Funding Rate Analysis: Study perpetual swap funding patterns and arbitrage opportunities
  • Liquidation Monitoring: Track large liquidation events and market impact
  • Open Interest Tracking: Monitor position changes and market sentiment
  • Risk Management: Calculate exposure and portfolio risk across futures positions
  • Contango/Backwardation Studies: Analyze futures curve structures

Options Market Applications

  • Volatility Analysis: Study implied volatility patterns and surfaces
  • Options Flow Analysis: Track institutional and retail options activity
  • Risk Management: Monitor Greeks exposure and hedge portfolios
  • Strategy Backtesting: Test options strategies with historical data
  • Market Structure Research: Understand options market efficiency and pricing

Integration Benefits

  • Multi-Asset Analysis: Correlate spot, futures, and options data
  • Cross-Exchange Research: Compare data across multiple exchanges
  • Historical Depth: Years of tick-level data for robust analysis
  • Real-time Applications: Fresh data for live trading and monitoring
  • Academic Research: Clean datasets for empirical finance studies