POST
/
info
Query a user's portfolio
curl --request POST \
  --url https://api.hyperliquid.xyz/info \
  --header 'Content-Type: application/json' \
  --data '{
  "type": "portfolio",
  "user": "0x31ca8395cf837de08b24da3f660e77761dfb974b"
}'
[
  [
    "day",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ],
        [
          1741895270493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ],
        [
          1741895270493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "week",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "month",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "allTime",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "perpDay",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "perpWeek",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "perpMonth",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  [
    "perpAllTime",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ]
]
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.
The info endpoint with type: "portfolio" retrieves comprehensive portfolio performance data for a specific user on the Hyperliquid exchange. This endpoint provides detailed historical performance metrics across multiple time periods, enabling thorough analysis of trading performance, account value progression, and volume activity.
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​
Parameters

​
Request body

  • type (string, required) — The request type. Must be "portfolio" to retrieve portfolio data.
  • user (string, required) — Address in 42-character hexadecimal format; e.g. 0x0000000000000000000000000000000000000000.

​
Response

The response is an array of portfolio performance data across different time periods. Each element is a tuple containing a time period identifier and the corresponding performance metrics.

​
Response structure

The response contains portfolio data for the following time periods: Time period identifiers:
  • "day" — Daily portfolio performance (last 24 hours)
  • "week" — Weekly portfolio performance (last 7 days)
  • "month" — Monthly portfolio performance (last 30 days)
  • "allTime" — All-time portfolio performance since account creation
  • "perpDay" — Daily perpetual trading performance
  • "perpWeek" — Weekly perpetual trading performance
  • "perpMonth" — Monthly perpetual trading performance
  • "perpAllTime" — All-time perpetual trading performance

​
Performance metrics structure

Each time period contains the following performance data: Account value tracking:
  • accountValueHistory — Array of [timestamp, value] pairs showing account value progression over time
  • Timestamps are in milliseconds since Unix epoch
  • Values are represented as strings for precision
Profit and loss tracking:
  • pnlHistory — Array of [timestamp, pnl] pairs showing profit/loss progression over time
  • Timestamps are in milliseconds since Unix epoch
  • PnL values are represented as strings for precision
  • Shows cumulative realized and unrealized PnL
Volume metrics:
  • vlm — Volume metric for the time period as a string
  • Represents total trading volume during the period

​
Data interpretation

Account value history:
  • Shows the total account value at specific timestamps
  • Includes both cash and position values
  • Useful for tracking overall portfolio growth
  • Data points are sampled at regular intervals
PnL history:
  • Shows cumulative profit and loss at specific timestamps
  • Includes both realized and unrealized PnL
  • Positive values indicate profits, negative values indicate losses
  • Tracks performance relative to initial account value
Volume analysis:
  • Total trading volume for the specified period
  • Helps assess trading activity levels
  • Can be used to calculate volume-based metrics

​
Portfolio analysis insights

​
Performance evaluation

Return analysis:
  • Compare account value at different time points to calculate returns
  • Analyze PnL progression to understand profit/loss patterns
  • Use different time periods to assess short-term vs long-term performance
Risk assessment:
  • Examine account value volatility through historical data
  • Analyze drawdown periods from PnL history
  • Compare performance across different time horizons
Activity analysis:
  • Volume metrics indicate trading frequency and size
  • Compare volume across different periods to identify activity patterns
  • Assess relationship between volume and performance

​
Time period comparison

Short-term performance:
  • Daily and weekly data for recent performance analysis
  • Useful for tactical trading decisions
  • Shows immediate impact of recent trades
Long-term trends:
  • Monthly and all-time data for strategic analysis
  • Helps identify long-term performance trends
  • Useful for portfolio allocation decisions
Perpetual vs spot trading:
  • Separate metrics for perpetual contract performance
  • Enables analysis of different trading strategies
  • Helps optimize trading approach by instrument type

​
Historical data usage

Trend identification:
  • Use historical data points to identify performance trends
  • Analyze correlation between account value and market conditions
  • Identify periods of outperformance or underperformance
Performance attribution:
  • Compare PnL across different time periods
  • Identify which periods contributed most to overall performance
  • Analyze consistency of returns over time

​
Example request

Shell
curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"type": "portfolio", "user": "0x31ca8395cf837de08b24da3f660e77761dfb974b"}' \
  https://api.hyperliquid.xyz/info

​
Example response

[
  [
    "day",
    {
      "accountValueHistory": [
        [
          1741886630493,
          "0.0"
        ],
        [
          1741895270493,
          "0.0"
        ]
      ],
      "pnlHistory": [
        [
          1741886630493,
          "0.0"
        ],
        [
          1741895270493,
          "0.0"
        ]
      ],
      "vlm": "0.0"
    }
  ],
  ["week", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["month", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["allTime", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["perpDay", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["perpWeek", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["perpMonth", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }],
  ["perpAllTime", { "accountValueHistory": [...], "pnlHistory": [...], "vlm": "..." }]
]

​
Use cases

The info endpoint with type: "portfolio" is essential for applications that need to:
  • Performance tracking: Monitor portfolio performance across multiple time horizons
  • Risk management: Assess portfolio risk through historical volatility and drawdown analysis
  • Portfolio analytics: Generate comprehensive performance reports and analytics
  • Investment research: Analyze trading performance to inform investment decisions
  • Backtesting validation: Compare live performance against backtested strategies
  • Client reporting: Provide detailed performance reports to clients and stakeholders
  • Performance attribution: Attribute returns to specific time periods and trading strategies
  • Benchmark comparison: Compare portfolio performance against market benchmarks
  • Trading strategy evaluation: Assess the effectiveness of different trading approaches
  • Regulatory compliance: Maintain detailed performance records for regulatory requirements
  • Academic research: Study trading behavior and performance patterns
  • Portfolio optimization: Optimize portfolio allocation based on historical performance
  • Risk-adjusted returns: Calculate risk-adjusted performance metrics like Sharpe ratio
  • Drawdown analysis: Identify and analyze maximum drawdown periods
  • Volume analysis: Analyze trading volume patterns and their impact on performance
  • Market timing analysis: Evaluate market timing decisions through historical data
  • Performance visualization: Create charts and graphs showing portfolio progression
  • Alert systems: Set up alerts based on performance thresholds or trends
  • Tax reporting: Generate data for tax reporting and capital gains calculations
  • Due diligence: Conduct thorough analysis of trading track records
  • Strategy development: Develop new trading strategies based on historical performance data
This endpoint provides comprehensive portfolio intelligence, enabling sophisticated analysis of trading performance and portfolio management on the Hyperliquid platform.

Body

application/json

Response

200 - application/json

Successful response with portfolio data

Array of portfolio performance data across different time periods