Your Challenge
Trading perpetuals without complete data is like flying blind in a storm.
Most perpetual futures traders build on incomplete data - missing funding rate history, open interest shifts, and liquidation signals that separate real profits from paper ones. Unlike spot markets, perpetuals involve complex dynamics. When your strategy runs on fragmented APIs and inconsistent timestamps, you're trading blind in a market where edge comes from understanding the full mechanics.
What are the pain points in trading perpetual futures?
Missing funding rate history makes it impossible to backtest arbitrage strategies accurately
Inconsistent timestamps across exchanges prevent proper cross-venue analysis
Incomplete open interest data leaves you blind to positioning buildups and market stress
Fragmented liquidation data means missing the cascading effects that drive price moves
No basis spread tracking between perpetual and spot prices across multiple venues
Manual data collection from different exchange APIs wastes time and introduces errors
Lack of mark price vs index price historical data for fair value analysis
How does CoinAPI solve these issues?
Complete funding rate infrastructure across 15+ exchanges
- Historical funding rates with millisecond timestamps for accurate backtesting
- Real-time funding rate monitoring via DERIVATIVES_FUNDING_RATE_CURRENT
- Predicted funding rates where supported by exchanges
- Normalized 8-hour settlement cycles across all venues for consistent analysis
Enterprise-grade connectivity and low-latency architecture
- Dedicated infrastructure options, including cross-connects in NY4, LD4, TY8
- Cloud Direct options for AWS and GCP peering
- FIX API and WebSocket DS for latency-sensitive execution strategies
- Smart routing to the nearest data hub for rapid delivery
- 99.99% uptime SLA and no scheduled maintenance windows
Open interest tracking for positioning analysis
- Historical open interest data via DERIVATIVES_OPEN_INTEREST metric
- Real-time position buildup and unwind monitoring
- Leverage ratio calculations to identify overheated markets
- Correlation analysis between OI changes and price movements
Mark price and index price for fair value analysis
- Complete mark price history via DERIVATIVES_MARK_PRICE
- Index price data via DERIVATIVES_INDEX_PRICE for basis calculations
- Perpetual-to-spot basis spread tracking across multiple timeframes
- Mean reversion signals when the basis deviates beyond historical norms
CoinAPI’s mark prices are based on a 24-hour volume-weighted average across exchanges. This methodology:
- Protects against thin order book manipulation
- Provides a fairer, more stable reference during high volatility
- Aligns better with market-wide consensus than single-venue marks
- Normalizes price conversion with trusted central bank FX rates when applicable
Developer-First Integration
- SDKs are available in Python, Go, and Java
- Sample code for arbitrage, liquidation, and basis spread strategies
- REST, WebSocket, FIX APIs with perpetual-specific endpoints
Liquidation data for cascade analysis
- Historical liquidation events via LIQUIDATION_AVERAGE_PRICE
- Liquidation clustering analysis to identify key support/resistance levels
- Real-time liquidation monitoring for entry/exit timing
- Forced selling pattern recognition across volatile ranges
Unified data schema eliminates integration headaches
- Consistent symbol naming across all perpetual contracts
- Standardized timestamps and data formats
- Single API for multi-exchange analysis instead of managing 15+ separate connections
- Normalized contract specifications and metadata
Real-time streaming for execution-critical strategies
- WebSocket feeds for funding rates, mark prices, and quotes
- Sub-second latency for time-sensitive arbitrage opportunities
- Reliable connection management during volatile market conditions
- Event-driven workflows for automated strategy execution
Complete OHLCV data for technical analysis
- 1-minute to daily granularity for all perpetual contracts
- Volume-weighted analysis for participation tracking
- Integration with funding and OI data for comprehensive strategy building
- Historical coverage back to contract inception
Risk management with comprehensive market data
- Leverage buildup detection through open interest monitoring
- Funding rate divergence alerts for arbitrage opportunities
- Liquidation level mapping for position sizing
- Basis spread analysis for market stress identification
Research-grade data for strategy validation
- Structured datasets with consistent schemas for backtesting
- Flat file exports for offline analysis and model training
- Complete audit trails for compliance and performance attribution
- Historical data normalization across exchange format differences
Multi-venue coverage for comprehensive analysis
- 15+ major exchanges including Binance, Bybit, OKX, Deribit, and more
- Cross-exchange funding rate comparison and arbitrage detection
- Unified view of perpetual markets regardless of venue
- Symbol discovery and filtering by exchange or asset type
Enterprise infrastructure for institutional trading
- 99.99% uptime SLA for mission-critical perpetual futures strategies
- Scalable data delivery supporting thousands of concurrent queries
- Rate limit management for high-frequency data access
- Enterprise security and compliance for institutional requirements