Are Hyperliquid whales long or short BTC right now?

Read BTC's size-cohort matrix for the newest settled hour; the four whale rungs (accounts of $1m and more) each carry a bias from -1 (all short) to +1 (all long).

GET /v1/hl-cohorts/symbols/{symbol}/cohort-metrics answers it in one call. With axis=size and hours=1 it returns BTC's newest settled hour, one row per account-value cohort, each with its long and total notional in USD and a bias from -1 (all short) to +1 (all long). The whales are the top four rungs: 4x whale, 3x whale, 2x whale and whale. The full parameter list is on Coin cohort metrics.

Quick answer

Put the ticker in the path; axis=size is the account-value ladder.

cURL

# BTC positioning by account-value cohort, newest settled hour
curl -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/BTC/cohort-metrics?axis=size&hours=1"

Example response

Captured from the live API on 2026-10-24 at 17:11 UTC, trimmed to the 4 whale rows of 12. bias is (long - short) / (long + short), a ratio from -1 to +1, and short notional is total_position_value minus total_position_value_long. At 16:00 UTC the 4x whale accounts ($10m and up) held $1.16B of BTC, only $247M of it long (bias -0.58), while the three smaller whale rungs leaned long. Summed, the four rungs were about 40% long.

Example response

{
  "axis": "size",
  "label_basis": "point_in_time",
  "metrics": [
    {
      "ts": "2026-10-24T16:00:00+00:00",
      "cohort": "4x whale",
      "position_count": 22,
      "position_count_long": 7,
      "total_position_value": 1163976506.0,
      "total_position_value_long": 246682718.2,
      "total_unrealized_pnl": -7969237.26,
      "total_position_size": 14570.28685,
      "total_position_size_long": 3087.89563,
      "bias": -0.576137977,
      "label_basis": "point_in_time",
      "grading": null
    },
    {
      "ts": "2026-10-24T16:00:00+00:00",
      "cohort": "3x whale",
      "position_count": 26,
      "position_count_long": 16,
      "total_position_value": 303716381.8,
      "total_position_value_long": 211612226.9,
      "total_unrealized_pnl": 13373939.21,
      "total_position_size": 3801.82485,
      "total_position_size_long": 2648.8944,
      "bias": 0.3934857625,
      "label_basis": "point_in_time",
      "grading": null
    },
    {
      "ts": "2026-10-24T16:00:00+00:00",
      "cohort": "2x whale",
      "position_count": 43,
      "position_count_long": 21,
      "total_position_value": 225036933.7,
      "total_position_value_long": 134083741.2,
      "total_unrealized_pnl": 9217583.194,
      "total_position_size": 2816.9406,
      "total_position_size_long": 1678.41753,
      "bias": 0.1916598667,
      "label_basis": "point_in_time",
      "grading": null
    },
    {
      "ts": "2026-10-24T16:00:00+00:00",
      "cohort": "whale",
      "position_count": 104,
      "position_count_long": 58,
      "total_position_value": 460673104.4,
      "total_position_value_long": 274952948.7,
      "total_unrealized_pnl": -16449223.58,
      "total_position_size": 5766.61979,
      "total_position_size_long": 3441.80325,
      "bias": 0.1937008958,
      "label_basis": "point_in_time",
      "grading": null
    }
  ],
  "hours": 1,
  "nextCursor": "eyJtIjoiY29ob3J0X21ldHJpY3MiLCJ0IjoiMjAyNi0xMC0yNCAxNjowMDowMCJ9",
  "grading": null,
  "freshness": {
    "newest_ts": "2026-10-24T16:00:00+00:00",
    "behind_hours": 1,
    "settled_lag_ceiling_hours": 3,
    "stale": false
  }
}

Variations

One number for all whales. latest.whale_bias is the same (long - short) / (long + short) over all four whale rungs, at the newest 5-minute snapshot instead of the last settled hour.

cURL — whale bias now

# whale bias over every account of $1m and more, at the newest 5-minute snapshot
curl -s -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/BTC/indices?hours=1" \
  | jq '.latest'

The last day, hour by hour. hours=24 returns 24 hourly buckets of all 12 cohorts, newest first.

cURL — 24 hours

# how whale positioning on BTC moved over the last day
curl -s -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/BTC/cohort-metrics?axis=size&hours=24" \
  | jq '[.metrics[] | select(.cohort | test("whale")) | {ts, cohort, bias}]'

Another coin. Any Hyperliquid ticker works, including a builder-DEX market such as xyz:TSLA.

cURL — ETH

# the same matrix for ETH
curl -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/ETH/cohort-metrics?axis=size&hours=1"

Before you rely on it

The whale label is one rung, and the newest hour is an hour old

The label whale is a single rung, accounts of $1m to $2.5m; "the whales" is the four rungs from whale up. bias is weighted by notional, so a few very large accounts decide a rung: here 22 positions held $1.16B. This endpoint returns settled hours only, so its newest bucket is one to two hours old; read freshness.stale before you act, or use latest on /indices for the newest 5-minute snapshot.

Ask your agent

Connected to the Vike MCP server (https://vike.io/mcp) in Claude, ChatGPT or Cursor, ask it in plain words. The hl_cohort_metrics tool answers, at 1 credit a call.

Ask your agent

Are Hyperliquid whales long or short BTC right now?

Are Hyperliquid whales long or short BTC right now?

Quick answer

Example response

Variations

Before you rely on it

Ask your agent

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