MKTS:BVIV perps
Perp · Hyperliquid · #827 by volume
43.354
Hyperliquid mkts USDC · 24h 39.500 – 43.708
- 24h volume
- $249.6K
- #827 of 914
- Open interest
- $107.0K
- −39.6% contracts · 24h
- Spread
- 29.6 bps
- median · 24h
- Size at best price
- $2.9K
- mean · 24h
- Net taker flow
- −$13.6K
- every contract · 24h
- Funding
- +0.1328%
- per period · HL
Aperiodic metrics · MKTS:BVIV · 24 h
What does it cost to cross MKTS:BVIV's spread?
L1 liquidity29.6 bps median on Hyperliquid mkts USDC, the widest 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
- #827MKTS:BVIV29.6 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at MKTS:BVIV's best price?
L1 liquidity$2.9K at the best bid and ask on Hyperliquid mkts USDC, on average, deeper than 55% 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
- #827MKTS:BVIV$2.9K
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.
MKTS:BVIV's contract · now
| Contract | Price | 24h | Volume 24h | Open interest | Funding | Spread | Charts |
|---|---|---|---|---|---|---|---|
| Hyperliquid mkts USDCperpetual-MKTS:BVIV-USDC:USDC | 43.354 | — | $249.6K | $107.0K | +0.1328% | 29.6 | 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: MKTS:BVIV 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-MKTS:BVIV-USDC:USDC",
**PERIOD,
)
l1_liquidity = get_metrics(
api_key=API_KEY,
metric="l1_liquidity",
exchange="hyperliquid-perps",
symbol="perpetual-MKTS:BVIV-USDC:USDC",
**PERIOD,
)
l2_imbalance = get_metrics(
api_key=API_KEY,
metric="l2_imbalance",
exchange="hyperliquid-perps",
symbol="perpetual-MKTS:BVIV-USDC:USDC",
**PERIOD,
)
basis = get_derivative_metrics(
api_key=API_KEY,
metric="basis",
exchange="hyperliquid-perps",
symbol="perpetual-MKTS:BVIV-USDC:USDC",
**PERIOD,
)
open_interest = get_derivative_metrics(
api_key=API_KEY,
metric="open_interest",
exchange="hyperliquid-perps",
symbol="perpetual-MKTS:BVIV-USDC:USDC",
**PERIOD,
)
funding = get_derivative_metrics(
api_key=API_KEY,
metric="funding",
exchange="hyperliquid-perps",
symbol="perpetual-MKTS:BVIV-USDC:USDC",
**PERIOD,
)Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.