AymarData
HyperliquidLive recording · forward-onlyFARTCOIN

Hyperliquid FARTCOIN perpetual: order book, trades & funding data

132K trade, L2 and funding events for the FARTCOIN perp on Hyperliquid, recorded live since 2026-10-01 — about 5,280 events a day.

Coverage

FARTCOIN 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

132,000

≈ 132K as of 2026-10-25

Avg events / day

5,280

trade · L2 book update · funding

Update frequency

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

Daily activity · last 25 days

FARTCOIN perp events/day: 25-day series, average 5,280 events/day, low 4,074, high 13,876.
low 4,074avg 5,280high 13,876

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 FARTCOIN perp?

FARTCOIN is a pure memecoin market: trade counts that are huge relative to fundamentals and intraday moves that routinely exceed 10%. AymarData has been recording the FARTCOIN perpetual on Hyperliquid since 2026-10-01 and holds 132K events so far, about 5,280 a day. History is forward-only: we record live and do not backfill.

FARTCOIN is a Solana memecoin that became one of the most actively traded memecoin perps on Hyperliquid. On Hyperliquid, FARTCOIN is moved by funding spikes and liquidation chains on a high-leverage book, and by pure sentiment — there are no cash-flows, only attention and positioning. 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 5,280 events a day on FARTCOIN, with large bursts. Memecoin perps on Hyperliquid are where leverage is most crowded, so funding extremes and rapid liquidation chains are the interesting episodes to isolate.

What moves FARTCOIN on Hyperliquid

  • Funding spikes and liquidation chains on a high-leverage book
  • Pure sentiment — there are no cash-flows, only attention and positioning
  • Solana memecoin-sector momentum

Schema

FARTCOIN 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 FARTCOIN
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
1792677599357FARTCOINtradebuy0.4200914611null
1792677599635FARTCOINl2_updatebid0.420212310null
1792677600452FARTCOINfundingnull0.4202null-0.00000413

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

Code

Pull FARTCOIN perp in Python, cURL or MCP

Market id: FARTCOIN. 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"}

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

FAQ

FARTCOIN perp: common questions

Why does FARTCOIN produce such bursty data?

FARTCOIN trades on sentiment, so activity is concentrated in short episodes with heavy liquidation flow — about 5,280 events a day on average, but with high variance. Look at funding and open interest alongside the tape to identify crowded positioning.

What moves the FARTCOIN perp on Hyperliquid?

Funding spikes and liquidation chains on a high-leverage book, and pure sentiment — there are no cash-flows, only attention and positioning. Hyperliquid's hourly funding and on-chain liquidations amplify both effects. FARTCOIN is a pure memecoin market: trade counts that are huge relative to fundamentals and intraday moves that routinely exceed 10%.

How far back does FARTCOIN 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 132K events at the time of this page. Coverage grows every day.

How is funding stored for FARTCOIN?

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 FARTCOIN.

Can I compare FARTCOIN on Hyperliquid with a centralized venue?

FARTCOIN is not in the top-20 Binance perp list we publish, so cross-venue comparison would need another source. Check the catalog for what is available, or request a dataset.

Backtest FARTCOIN perp with real tick data

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