AymarData
HyperliquidLive recording · forward-onlyZEC

Hyperliquid ZEC perpetual: order book, trades & funding data

176K trade, L2 and funding events for the ZEC perp on Hyperliquid, recorded live since 2026-10-01 — about 7,040 events a day.

Coverage

ZEC 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

176,000

≈ 176K as of 2026-10-25

Avg events / day

7,040

trade · L2 book update · funding

Update frequency

Trades and L2 book updates in real time; funding settled hourly

Daily activity · last 25 days

ZEC perp events/day: 25-day series, average 7,040 events/day, low 5,291, high 18,890.
low 5,291avg 7,040high 18,890

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 ZEC perp?

The ZEC perp became a flagship of the privacy-coin rally on Hyperliquid, with heavy open interest and funding that spikes on rapid moves. AymarData has been recording the ZEC perpetual on Hyperliquid since 2026-10-01 and holds 176K events so far, about 7,040 a day. History is forward-only: we record live and do not backfill.

Zcash is a privacy coin with optional shielded transactions and a Bitcoin-style fixed supply schedule. On Hyperliquid, ZEC is moved by the privacy narrative, which flares whenever regulators or analytics firms make headlines, and by shielded-pool growth, a slow-moving fundamental that traders watch as a sentiment gauge. 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 7,040 events a day on ZEC. 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 ZEC on Hyperliquid

  • The privacy narrative, which flares whenever regulators or analytics firms make headlines
  • Shielded-pool growth, a slow-moving fundamental that traders watch as a sentiment gauge
  • Listing and delisting decisions by exchanges that are cautious about privacy assets

Schema

ZEC perp fields and sample rows

The same columns are returned by the API and in Parquet and CSV files.

FieldTypeDescription
ts_msint64Venue event time, Unix milliseconds
symbolstringHyperliquid coin name, here ZEC
event_typestringtrade | l2_update | funding
sidestringbuy / sell for trades; bid / ask for book levels; null on funding
pricenumberTrade price or book level in USD
sizenumberSize in coin units; null on funding
funding_ratenumber | nullHourly funding rate on funding events, else null

Sample rows

ts_mssymbolevent_typesidepricesizefunding_rate
1792677599195ZECtradebuy410.3720.44null
1792677599690ZECl2_updatebid410.4945.33null
1792677600200ZECfundingnull410.49null-4.5e-7

Illustrative rows for ZEC on Hyperliquid; prices in USD, shown for schema purposes. Funding appears on funding events.

Code

Pull ZEC perp in Python, cURL or MCP

Market id: ZEC. 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"}

# ZEC perp: ten minutes around the 14:00 UTC hourly funding
trades = requests.get(
    f"{API}/trades",
    headers=H,
    params={
        "source": "hyperliquid",
        "market": "ZEC",
        "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": "ZEC",
        "at": "2026-10-22T14:00:00Z",
        "depth": 10,
    },
    timeout=30,
).json()
print(book.get("spread"), len(trades))

FAQ

ZEC perp: common questions

What can I research with ZEC data on Hyperliquid?

Funding carry on an hourly clock, how depth reacts to liquidation clusters, and basis against centralized venues. About 7,040 events a day is enough for these studies, but not for tight latency work.

What moves the ZEC perp on Hyperliquid?

The privacy narrative, which flares whenever regulators or analytics firms make headlines, and shielded-pool growth, a slow-moving fundamental that traders watch as a sentiment gauge. Hyperliquid's hourly funding and on-chain liquidations amplify both effects. The ZEC perp became a flagship of the privacy-coin rally on Hyperliquid, with heavy open interest and funding that spikes on rapid moves.

How far back does ZEC 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 176K events at the time of this page. Coverage grows every day.

How is funding stored for ZEC?

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 ZEC.

How does the ZEC perp compare with Binance's?

Join Hyperliquid ZEC with the Binance ZECUSDT 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.

Backtest ZEC perp with real tick data

Get an API key, pull your first window and join it with the other sources in the catalog.