MNT perps

Perp · Hyperliquid · #839 by volume

0.40050-3.85% 24h

Hyperliquid USDC · 24h 0.39935 – 0.41831

24h volume: $201.3K; #839 of 910
Open interest: $2.9M; −0.6% contracts · 24h
Spread: 9.87 bps; median · 24h
Size at best price: $1.4K; mean · 24h
Net taker flow: −$1.2K; every contract · 24h
Funding: +0.0013%; per period · HL

Aperiodic metrics · MNT · 24 h

Every metric on MNT, bar by bar →

Are takers buying or selling MNT?

Flow

Takers sold $1.2K more than they bought on Hyperliquid USDC over 24 h; the heaviest hour, 15:20 UTC, saw $12.6K.

+$14.4K0−$14.4K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross MNT's spread?

L1 liquidity

9.87 bps median on Hyperliquid USDC, wider than 97% of the 200 most traded perps.

#1BTC0.014 bps
#2ETH0.051 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.20 bps
#25SP5000.13 bps
#50MUU5.64 bps
#100MVLL8.76 bps
#200AIN2.70 bps
#839MNT9.87 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at MNT's best price?

L1 liquidity

$1.4K at the best bid and ask on Hyperliquid USDC, on average, thinner than 60% of the 200 most traded perps.

#1BTC$651.3K
#2ETH$269.7K
#3SOXL$87.0K
#5SOL$157.7K
#10AKE$562
#25SP500$105.4K
#50MUU$22.5K
#100MVLL$13.7K
#200AIN$181
#839MNT$1.4K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is MNT's book leaning?

L2 imbalance

Leaned to the ask in 22 of 24 hours on Hyperliquid USDC; 46% bids over the day.

60% bid040% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid USDC · top 10 levels · hourly

Does MNT trade away from its index?

Basis

15.0 bps below its index on Hyperliquid USDC now; 13.6 bps below to 1.77 bps above over 24 h.

+13.6 bps0−13.6 bps

23:20 UTCnow

basis.basis_bpsHyperliquid USDC · hourly

Is leverage building in MNT?

Open interest

$2.9M open across 1 contract: −0.6% in contracts, −4.4% in dollars over 24 h.

$3.1M$2.9M

23:20 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on MNT?

Funding

Longs pay +0.0013% a period on Hyperliquid USDC; between −0.0020% and +0.0013% over 24 h.

+0.0020%0−0.0020%

23:20 UTCnow

funding.funding_rateHyperliquid USDC · hourly

MNT's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid USDCperpetual-MNT-USDC:USDC	0.40050	-3.85%	$201.3K	$2.9M	+0.0013%	9.87	Charts →

History · a year of 5m bars per series · busiest contract

Every chart for MNT →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: MNT 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-MNT-USDC:USDC",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="hyperliquid-perps",
    symbol="perpetual-MNT-USDC:USDC",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="hyperliquid-perps",
    symbol="perpetual-MNT-USDC:USDC",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="hyperliquid-perps",
    symbol="perpetual-MNT-USDC:USDC",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="hyperliquid-perps",
    symbol="perpetual-MNT-USDC:USDC",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-MNT-USDC:USDC",
    **PERIOD,
)

Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

Hyperliquid USDCperpetual-MNT-USDC:USDC

0.40050

-3.85%

$201.3K

$2.9M

+0.0013%

9.87

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: MNT 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-MNT-USDC:USDC", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="hyperliquid-perps", symbol="perpetual-MNT-USDC:USDC", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="hyperliquid-perps", symbol="perpetual-MNT-USDC:USDC", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="hyperliquid-perps", symbol="perpetual-MNT-USDC:USDC", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="hyperliquid-perps", symbol="perpetual-MNT-USDC:USDC", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="hyperliquid-perps", symbol="perpetual-MNT-USDC:USDC", **PERIOD, )