info (fundingHistory)
Hyperliquid node API
fundingHistory | Hyperliquid info
Retrieve historical funding rates and premiums for a specific perpetual contract, providing insight into market sentiment and carry costs over time.
POST
info (fundingHistory)
You can only use this endpoint on the official Hyperliquid public API. It is not available through Chainstack, as the open-source node implementation does not support it yet.
info endpoint with type: "fundingHistory" retrieves historical funding rates and premiums for a specific perpetual contract on the Hyperliquid exchange. This endpoint provides comprehensive data about funding costs over time, enabling analysis of market sentiment, carry trade opportunities, and long-term trading strategy optimization.
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Parameters
Request body
type(string, required) — The request type. Must be"fundingHistory"to retrieve funding rate history.coin(string, required) — Asset symbol to retrieve funding history for (e.g., “BTC”, “ETH”, “SOL”).startTime(integer, required) — Start timestamp in milliseconds, inclusive. Filters funding history from this time forward.endTime(integer, optional) — End timestamp in milliseconds, inclusive. Defaults to current time if not provided.
Response
The response is an array of funding rate records, chronologically ordered from oldest to newest. Each record represents a funding rate snapshot taken at regular intervals (typically every 8 hours for most exchanges).Response structure
Each funding rate record contains: Asset identification:coin— Asset symbol (e.g., “BTC”, “ETH”, “SOL”)
fundingRate— The funding rate applied to positions (decimal format)premium— Market premium component used in funding calculationtime— Unix timestamp in milliseconds when the rate was applied
Data interpretation
Funding rate analysis:- Positive rates indicate longs pay shorts (bullish market bias)
- Negative rates indicate shorts pay longs (bearish market bias)
- Rate magnitude shows intensity of directional demand
- Premium represents the difference between perpetual and spot prices
- Combined with interest rate component to determine final funding rate
- Higher premiums suggest stronger directional pressure
- Funding rates typically reset every 8 hours
- Persistent positive funding indicates sustained bullish sentiment
- Rate volatility reflects changing market conditions
Market analysis insights
Sentiment indicators
Directional bias measurement:- Consistently positive funding rates suggest bullish market structure
- Negative funding periods indicate bearish sentiment dominance
- Rate reversals often coincide with market trend changes
- Extreme funding rates indicate pricing inefficiencies
- Rate mean reversion suggests arbitrage opportunities
- Funding rate divergence across assets reveals relative strength
Trading strategy applications
Carry trade opportunities:- Identify assets with consistently favorable funding rates
- Calculate cumulative funding costs for position holding periods
- Optimize position timing around funding rate cycles
- Avoid high-cost funding periods for direction-neutral strategies
- Time entries and exits around funding rate extremes
- Use funding rate trends for position sizing decisions
Risk management
Cost analysis:- Calculate total funding costs as percentage of trading profits
- Monitor funding rate volatility for strategy stability
- Assess impact of funding on long-term position holding
- Use funding rate extremes as contrarian indicators
- Identify potential trend reversal points
- Combine with other metrics for comprehensive market analysis
Historical patterns
Cycle analysis
Funding rate cycles:- Identify recurring patterns in funding rate behavior
- Analyze seasonal effects and market cycle correlations
- Track funding rate recovery periods after extreme events
- Compare funding rates across different perpetual contracts
- Identify relative value opportunities between assets
- Analyze correlation patterns during market stress
Market structure insights
Liquidity conditions:- High funding rate volatility often indicates lower liquidity
- Stable funding rates suggest efficient arbitrage mechanisms
- Rate spikes may indicate temporary liquidity shortages
- Funding rate patterns can reveal trader composition changes
- Professional arbitrageurs tend to stabilize funding rates
- Retail-driven markets often show more volatile funding patterns
Example request
Shell
Use cases
Theinfo endpoint with type: "fundingHistory" is essential for applications that need to:
- Analyze funding trends: Study historical funding rates to understand market sentiment patterns
- Calculate funding costs: Determine total funding expenses for long-term position holding
- Strategy optimization: Build funding-aware trading strategies and optimize position timing
- Market analysis: Analyze funding rate patterns for market sentiment and trend analysis
- Risk management: Assess funding cost impact on strategy performance and profitability
- Arbitrage opportunities: Identify periods with favorable funding rates for carry trades
- Backtesting systems: Include realistic funding costs in strategy simulation and testing
- Performance attribution: Separate trading gains from funding costs for accurate analysis
- Research and analytics: Study perpetual futures funding mechanisms and market dynamics
- Automated alerts: Set up notifications for funding rate threshold breaches or patterns
Body
application/json
The request type. Must be 'fundingHistory' to retrieve funding rate history.
Available options:
fundingHistory Asset symbol to retrieve funding history for (e.g., 'BTC', 'ETH', 'SOL')
Start timestamp in milliseconds, inclusive.
End timestamp in milliseconds, inclusive. Defaults to current time if not provided.
Last modified on October 19, 2025