XYZ:STRC perps
Perp · Hyperliquid · #588 by volume
99.800-0.09% 24h
Hyperliquid xyz USDC · 24h 99.303 – 99.906
- 24h volume
- $1.4M
- #588 of 914
- Open interest
- $13.4M
- +6.2% contracts · 24h
- Spread
- 4.92 bps
- median · 24h
- Size at best price
- $11.2K
- mean · 24h
- Net taker flow
- +$4.9K
- every contract · 24h
- Funding
- −0.0026%
- per period · HL
Aperiodic metrics · XYZ:STRC · 24 h
What does it cost to cross XYZ:STRC's spread?
L1 liquidity4.92 bps median on Hyperliquid xyz USDC, wider than 83% 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
- #588XYZ:STRC4.92 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at XYZ:STRC's best price?
L1 liquidity$11.2K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 76% 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
- #588XYZ:STRC$11.2K
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:STRC's contract · now
| Contract | Price | 24h | Volume 24h | Open interest | Funding | Spread | Charts |
|---|---|---|---|---|---|---|---|
| Hyperliquid xyz USDCperpetual-XYZ:STRC-USDC:USDC | 99.800 | -0.09% | $1.4M | $13.4M | −0.0026% | 4.92 | 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:STRC 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:STRC-USDC:USDC",
**PERIOD,
)
l1_liquidity = get_metrics(
api_key=API_KEY,
metric="l1_liquidity",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:STRC-USDC:USDC",
**PERIOD,
)
l2_imbalance = get_metrics(
api_key=API_KEY,
metric="l2_imbalance",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:STRC-USDC:USDC",
**PERIOD,
)
basis = get_derivative_metrics(
api_key=API_KEY,
metric="basis",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:STRC-USDC:USDC",
**PERIOD,
)
open_interest = get_derivative_metrics(
api_key=API_KEY,
metric="open_interest",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:STRC-USDC:USDC",
**PERIOD,
)
funding = get_derivative_metrics(
api_key=API_KEY,
metric="funding",
exchange="hyperliquid-perps",
symbol="perpetual-XYZ:STRC-USDC:USDC",
**PERIOD,
)Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.