XYZ:HIMS perps
Perp · Hyperliquid · #493 by volume
19.462-1.98% 24h
Hyperliquid xyz USDC · 24h 19.224 – 20.153
- 24h volume
- $2.1M
- #493 of 914
- Open interest
- $1.6M
- +4.6% contracts · 24h
- Spread
- 8.54 bps
- median · 24h
- Size at best price
- $7.0K
- mean · 24h
- Net taker flow
- −$109.4K
- every contract · 24h
- Funding
- +0.0013%
- per period · HL
Aperiodic metrics · XYZ:HIMS · 24 h
What does it cost to cross XYZ:HIMS's spread?
L1 liquidity8.54 bps median on Hyperliquid xyz USDC, wider than 94% of the 200 most traded perps.
- #1BTC0.015 bps
- #2ETH0.051 bps
- #3SOXL1.56 bps
- #5SOL1.25 bps
- #10AKE3.18 bps
- #25XYZ:XYZ1000.35 bps
- #50MUU5.64 bps
- #100MVLL8.76 bps
- #200AIN2.70 bps
- #493XYZ:HIMS8.54 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at XYZ:HIMS's best price?
L1 liquidity$7.0K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 69% of the 200 most traded perps.
- #1BTC$651.7K
- #2ETH$269.8K
- #3SOXL$86.9K
- #5SOL$157.5K
- #10AKE$553
- #25XYZ:XYZ100$165.1K
- #50MUU$22.4K
- #100MVLL$13.7K
- #200AIN$180
- #493XYZ:HIMS$7.0K
l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h
The hour-by-hour charts are not on the tape right now; they return with the next bar.
XYZ:HIMS's contract · now
| Contract | Price | 24h | Volume 24h | Open interest | Funding | Spread | Charts |
|---|---|---|---|---|---|---|---|
| Hyperliquid xyz USDCperpetual-XYZ:HIMS-USDC:USDC | 19.462 | -1.98% | $2.1M | $1.6M | +0.0013% | 8.54 | Charts → |
History · a year of 5m bars per series · busiest contract
Python
import os
from datetime import date
from aperiodic import get_derivative_metrics, get_metrics
# aperiodic.io/markets: XYZ:HIMS on Hyperliquid
# 5m bars, 2025-11-12 to 2026-11-12. Install: pip install "aperiodic[polars]"
# Needs an API key (https://aperiodic.io/home/api) on a plan with flow, basis, open_interest, funding (Pro) and l1_liquidity, l2_imbalance (Prime).
API_KEY = os.environ["APERIODIC_API_KEY"]
# timestamp="true" keys bars on capture time, as on the page; "exchange" keys them on exchange time.
PERIOD = dict(
interval="5m",
timestamp="true",
start_date=date(2025, 11, 12),
end_date=date(2026, 11, 12),
)
flow = get_metrics(
api_key=API_KEY,
metric="flow",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)
l1_liquidity = get_metrics(
api_key=API_KEY,
metric="l1_liquidity",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)
l2_imbalance = get_metrics(
api_key=API_KEY,
metric="l2_imbalance",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)
basis = get_derivative_metrics(
api_key=API_KEY,
metric="basis",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)
open_interest = get_derivative_metrics(
api_key=API_KEY,
metric="open_interest",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)
funding = get_derivative_metrics(
api_key=API_KEY,
metric="funding",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:HIMS-USDC:USDC",
**PERIOD,
)Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.