vike

Recipe 26 of 33

Which coins have one-sided whale flow right now?

Call /large-fills?min_usd=100000&hours=2 per coin and net the taker rows (order_type market) by direction; netting every row gives zero, because both sides of each trade are in the feed.

GET /v1/hl-cohorts/symbols/{symbol}/large-fills answers it one coin per call. Ask for the fills of $100,000 or more in the last two hours, keep the rows where the wallet crossed the book (order_type is market) and, for whale flow, whose size_cohort is whale, 2x whale, 3x whale or 4x whale. Sum size_usd of the buys minus the sells: a large net either way is one-sided flow, and the coins rank by it. The full parameter list is on Large fills.

Quick answer

HYPE here; repeat it for each coin you scan.

cURL
# HYPE fills of $100,000 or more from the last two hours
curl -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/HYPE/large-fills?min_usd=100000&hours=2"

Example response

Captured from the live API on 2026-10-24 at 17:19 UTC, trimmed to 4 rows of 38. truncated is false, so these 38 rows are every HYPE fill over $100,000 of the two hours. The rows come in pairs, one per side of a trade, so all 38 together hold $3,044,129 of buys and $3,044,129 of sells. The taker rows tell the story: takers bought $532,078 and sold $2,512,051, a net $1.98M of selling. Whale takers alone bought $250,309 and sold $865,951.

Example response
{
  "symbol": "HYPE",
  "min_usd": 100000.0,
  "hours": 2,
  "covered_from": "2026-10-24T15:19:41.193000+00:00",
  "truncated": false,
  "has_more": false,
  "size_cohort_basis": "current",
  "fills": [
    {
      "ts": "2026-10-24T17:01:30.623000+00:00",
      "wallet": "0xa6727cd11f50e42232d147f6eb4122a373975661",
      "direction": "buy",
      "size_token": 1407.49,
      "size_usd": 106255.64257,
      "price": 75.493,
      "order_type": "limit",
      "size_cohort": "whale",
      "pnl_cohort": "3x smart",
      "pnl_cohort_basis": "current"
    },
    {
      "ts": "2026-10-24T17:01:30.623000+00:00",
      "wallet": "0xb67c4c91728e6865b216e11d54b50c75bbd3fd5f",
      "direction": "sell",
      "size_token": 1407.49,
      "size_usd": 106255.64257,
      "price": 75.493,
      "order_type": "market",
      "size_cohort": "shark",
      "pnl_cohort": "3x smart",
      "pnl_cohort_basis": "current"
    },
    {
      "ts": "2026-10-24T16:58:30.443000+00:00",
      "wallet": "0x24fb6523036ebcb3cc51deff138066dccf6bed0f",
      "direction": "sell",
      "size_token": 3164.91,
      "size_usd": 239273.52582,
      "price": 75.602,
      "order_type": "market",
      "size_cohort": "whale",
      "pnl_cohort": "2x smart",
      "pnl_cohort_basis": "point_in_time"
    },
    {
      "ts": "2026-10-24T16:58:30.443000+00:00",
      "wallet": "0x71d0e11ebb6150cebe20cf62f798be1a50108c26",
      "direction": "buy",
      "size_token": 3164.91,
      "size_usd": 239273.52582,
      "price": 75.602,
      "order_type": "limit",
      "size_cohort": "3x whale",
      "pnl_cohort": "3x smart",
      "pnl_cohort_basis": "point_in_time"
    }
  ]
}

Variations

Pick the coins to scan. Open interest per symbol, largest first; take the first 20 or 50. /v1/hyperliquid/ohlcv/latest is the other list: every symbol with a trade in the last hour.

cURL — universe
# the 20 symbols with the most open interest
curl -s -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hyperliquid/positions/symbols" \
  | jq '.[:20] | map(.symbol)'

Every large taker, as one number. Without the cohort filter, net the market rows of all sizes from $50,000 into an imbalance from -1 (all selling) to +1 (all buying). On ETH at 17:15 UTC that was $6.53M bought and $7.45M sold at market, an imbalance of -0.07, over the 42 minutes the feed reached back.

cURL — imbalance
# taker buys, taker sells, the imbalance, and how far back the answer reaches
curl -s -H "X-API-Key: $VIKE_API_KEY" \
  "https://data.vike.io/v1/hl-cohorts/symbols/ETH/large-fills?hours=2" \
  | jq '{covered_from, truncated, buy: ([.fills[] | select(.order_type == "market" and .direction == "buy") | .size_usd] | add // 0), sell: ([.fills[] | select(.order_type == "market" and .direction == "sell") | .size_usd] | add // 0)} | .imbalance = (if .buy + .sell > 0 then (.buy - .sell) / (.buy + .sell) else null end)'

Before you rely on it

Net the takers, and read covered_from per coin

Both sides of every trade are in the feed with the same size_usd, so the buys and sells of all rows always cancel; only the market rows say who pushed. The feed holds the newest 200 fills over $50,000 per coin: on BTC and ETH that was about 20 to 40 minutes at capture, so truncated true means the net covers covered_from to now, not two hours. Each coin is one call, and the API allows 200 calls a minute, so a scan of 50 coins every few minutes fits and every coin every minute does not.

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_market tool answers (view large_fills), at 1 credit a call.

Ask your agent
For BTC, ETH and HYPE, net the taker side of fills over $100,000 in the last two hours and tell me which is most one-sided
Example response
{  "symbol": "HYPE",  "min_usd": 100000.0,  "hours": 2,  "covered_from": "2026-10-24T15:19:41.193000+00:00",  "truncated": false,  "has_more": false,  "size_cohort_basis": "current",  "fills": [    {      "ts": "2026-10-24T17:01:30.623000+00:00",      "wallet": "0xa6727cd11f50e42232d147f6eb4122a373975661",      "direction": "buy",      "size_token": 1407.49,      "size_usd": 106255.64257,      "price": 75.493,      "order_type": "limit",      "size_cohort": "whale",      "pnl_cohort": "3x smart",      "pnl_cohort_basis": "current"    },    {      "ts": "2026-10-24T17:01:30.623000+00:00",      "wallet": "0xb67c4c91728e6865b216e11d54b50c75bbd3fd5f",      "direction": "sell",      "size_token": 1407.49,      "size_usd": 106255.64257,      "price": 75.493,      "order_type": "market",      "size_cohort": "shark",      "pnl_cohort": "3x smart",      "pnl_cohort_basis": "current"    },    {      "ts": "2026-10-24T16:58:30.443000+00:00",      "wallet": "0x24fb6523036ebcb3cc51deff138066dccf6bed0f",      "direction": "sell",      "size_token": 3164.91,      "size_usd": 239273.52582,      "price": 75.602,      "order_type": "market",      "size_cohort": "whale",      "pnl_cohort": "2x smart",      "pnl_cohort_basis": "point_in_time"    },    {      "ts": "2026-10-24T16:58:30.443000+00:00",      "wallet": "0x71d0e11ebb6150cebe20cf62f798be1a50108c26",      "direction": "buy",      "size_token": 3164.91,      "size_usd": 239273.52582,      "price": 75.602,      "order_type": "limit",      "size_cohort": "3x whale",      "pnl_cohort": "3x smart",      "pnl_cohort_basis": "point_in_time"    }  ]}