PARA:TOTAL2 perps
Perp · Hyperliquid · #902 by volume
908.680-2.67% 24h
Hyperliquid para USDC · 24h 905.110 – 935.760
- 24h volume
- $24.4K
- #902 of 914
- Open interest
- $439.7K
- −0.8% contracts · 24h
- Spread
- 0.11 bps
- median · 24h
- Size at best price
- $21.7K
- mean · 24h
- Net taker flow
- +$2.8K
- every contract · 24h
- Funding
- +0.0019%
- per period · HL
Aperiodic metrics · PARA:TOTAL2 · 24 h
What does it cost to cross PARA:TOTAL2's spread?
L1 liquidity0.11 bps median on Hyperliquid para USDC, tighter than 96% 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
- #902PARA:TOTAL20.11 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at PARA:TOTAL2's best price?
L1 liquidity$21.7K at the best bid and ask on Hyperliquid para USDC, on average, deeper than 85% 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
- #902PARA:TOTAL2$21.7K
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.
PARA:TOTAL2's contract · now
| Contract | Price | 24h | Volume 24h | Open interest | Funding | Spread | Charts |
|---|---|---|---|---|---|---|---|
| Hyperliquid para USDCperpetual-PARA:TOTAL2-USDC:USDC | 908.680 | -2.67% | $24.4K | $439.7K | +0.0019% | 0.11 | 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: PARA:TOTAL2 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-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)
l1_liquidity = get_metrics(
api_key=API_KEY,
metric="l1_liquidity",
exchange="hyperliquid-perps",
symbol="perpetual-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)
l2_imbalance = get_metrics(
api_key=API_KEY,
metric="l2_imbalance",
exchange="hyperliquid-perps",
symbol="perpetual-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)
basis = get_derivative_metrics(
api_key=API_KEY,
metric="basis",
exchange="hyperliquid-perps",
symbol="perpetual-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)
open_interest = get_derivative_metrics(
api_key=API_KEY,
metric="open_interest",
exchange="hyperliquid-perps",
symbol="perpetual-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)
funding = get_derivative_metrics(
api_key=API_KEY,
metric="funding",
exchange="hyperliquid-perps",
symbol="perpetual-PARA:TOTAL2-USDC:USDC",
**PERIOD,
)Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.