Hyperliquid NEAR perpetual: order book, trades & funding data
52.8K trade, L2 and funding events for the NEAR perp on Hyperliquid, recorded live since 2026-10-01 — about 2,112 events a day.
Coverage
NEAR perp data coverage
What is recorded, how often it updates and how much there is.
Recording since
2026-10-01
25 days so far · no backfill
Events recorded
52,800
≈ 52.8K as of 2026-10-25
Avg events / day
2,112
trade · L2 book update · funding
Update frequency
Trades and L2 book updates in real time; funding settled hourly
Daily activity · last 25 days
Indicative daily event volume, last 25 days to 2026-10-25. Shape modeled from collector stats; mean matches the average events/day above.
About this market
What is NEAR perp?
NEAR trades quietly: long stretches of thin quoting punctuated by AI-narrative rotations. AymarData has been recording the NEAR perpetual on Hyperliquid since 2026-10-01 and holds 52.8K events so far, about 2,112 a day. History is forward-only: we record live and do not backfill.
NEAR is a sharded layer-1 that has repositioned around chain abstraction, intents and user-owned AI. On Hyperliquid, NEAR is moved by ecosystem announcements around intents and cross-chain swaps, and by AI-narrative rotations — NEAR tends to move when AI-token baskets move. The venue adds its own mechanics: funding is paid hourly rather than every eight hours, and positions are on-chain, so liquidation clusters and large wallets are visible rather than inferred.
Around 2,112 events a day on NEAR. That is enough to study funding carry on an hourly clock, liquidation-driven moves and how quickly makers re-quote after a sweep — and thin enough that individual large orders are clearly visible.
What moves NEAR on Hyperliquid
- Ecosystem announcements around intents and cross-chain swaps
- AI-narrative rotations — NEAR tends to move when AI-token baskets move
- Protocol inflation changes and staking-yield updates
Schema
NEAR perp fields and sample rows
The same columns are returned by the API and in Parquet and CSV files.
| Field | Type | Description |
|---|---|---|
| ts_ms | int64 | Venue event time, Unix milliseconds |
| symbol | string | Hyperliquid coin name, here NEAR |
| event_type | string | trade | l2_update | funding |
| side | string | buy / sell for trades; bid / ask for book levels; null on funding |
| price | number | Trade price or book level in USD |
| size | number | Size in coin units; null on funding |
| funding_rate | number | null | Hourly funding rate on funding events, else null |
Sample rows
| ts_ms | symbol | event_type | side | price | size | funding_rate |
|---|---|---|---|---|---|---|
| 1792677599676 | NEAR | trade | buy | 3.1173 | 2117 | null |
| 1792677600063 | NEAR | l2_update | bid | 3.1172 | 9132 | null |
| 1792677600696 | NEAR | funding | null | 3.1172 | null | 0.0000047 |
Illustrative rows for NEAR on Hyperliquid; prices in USD, shown for schema purposes. Funding appears on funding events.
Code
Pull NEAR perp in Python, cURL or MCP
Market id: NEAR. Export AYMARDATA_API_KEY from your dashboard, then run the Python requests example.
import os
import requests
API = "https://api.aymardata.com/v1"
KEY = os.environ["AYMARDATA_API_KEY"] # export AYMARDATA_API_KEY=ad_live_…
H = {"Authorization": f"Bearer {KEY}", "User-Agent": "aymardata-docs/1.0"}
# NEAR perp: ten minutes around the 14:00 UTC hourly funding
trades = requests.get(
f"{API}/trades",
headers=H,
params={
"source": "hyperliquid",
"market": "NEAR",
"start": "2026-10-22T13:55:00Z",
"end": "2026-10-22T14:05:00Z",
"limit": 500,
},
timeout=30,
).json()["data"]
funding = [t for t in trades if t["event_type"] == "funding"]
print(funding[0]["funding_rate"] if funding else "no funding event in window")
book = requests.get(
f"{API}/book",
headers=H,
params={
"source": "hyperliquid",
"market": "NEAR",
"at": "2026-10-22T14:00:00Z",
"depth": 10,
},
timeout=30,
).json()
print(book.get("spread"), len(trades))FAQ
NEAR perp: common questions
What can I research with NEAR data on Hyperliquid?
Funding carry on an hourly clock, how depth reacts to liquidation clusters, and basis against centralized venues. About 2,112 events a day is enough for these studies, but not for tight latency work.
What moves the NEAR perp on Hyperliquid?
Ecosystem announcements around intents and cross-chain swaps, and AI-narrative rotations — NEAR tends to move when AI-token baskets move. Hyperliquid's hourly funding and on-chain liquidations amplify both effects. NEAR trades quietly: long stretches of thin quoting punctuated by AI-narrative rotations.
How far back does NEAR data on Hyperliquid go?
Recording started 2026-10-01, and it is forward-only — we do not backfill Hyperliquid. That is about 25 days and 52.8K events at the time of this page. Coverage grows every day.
How is funding stored for NEAR?
As separate events (event_type=funding) with a funding_rate field, in the same time-ordered stream as trades and L2 updates. Hyperliquid pays funding hourly, so expect 24 funding events a day for NEAR.
How does the NEAR perp compare with Binance's?
Join Hyperliquid NEAR with the Binance NEARUSDT perp on ts_ms to measure basis, lead-lag and funding differences. Binance history runs from 2025-06-01; Hyperliquid from 2026-10-01, so overlap starts there.
Related
Related markets and next steps
Backtest NEAR perp with real tick data
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