GRASS perps

Perp · Binance, OKX, Hyperliquid · #161 by volume

0.42080-6.96% 24h

Binance USDT · 24h 0.41910 – 0.45750

24h volume: $24.1M; #161 of 914
Open interest: $31.1M; +0.2% contracts · 24h
Spread: 2.28 bps; median · 24h
Size at best price: $532; mean · 24h
Net taker flow: −$1.8M; every contract · 24h
Funding: +0.0050%; per period · BIN

Aperiodic metrics · GRASS · 24 h

Every metric on GRASS, bar by bar →

What does it cost to cross GRASS's spread?

L1 liquidity

2.28 bps median on Binance USDT, wider than 57% 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
#161GRASS2.28 bps
#200AIN2.70 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at GRASS's best price?

L1 liquidity

$532 at the best bid and ask on Binance USDT, on average, thinner than 81% 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
#161GRASS$532
#200AIN$180

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Where does GRASS trade?

OHLCV

Binance USDT took 62% of $24.1M traded in 24 h.

volume sharespread

Binance USDT62%2.28
OKX USDT25%2.33
Hyperliquid USDC13%9.26

ohlcv.volume_notionaleach contract · 24 h

Who pays funding on GRASS?

Funding

Longs pay on 3 of 3 contracts; Binance USDT charges +0.0050% a period (Hyperliquid’s are hourly).

Binance USDT+0.0050%
OKX USDT+0.0050%
Hyperliquid USDC+0.0013%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

The hour-by-hour charts are not on the tape right now; they return with the next bar.

GRASS's 3 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-GRASS-USDT:USDT	0.42080	-6.96%	$14.8M	$10.8M	+0.0050%	2.28	Charts →
OKX USDTperpetual-GRASS-USDT:USDT	0.42060	-7.01%	$6.1M	$4.7M	+0.0050%	2.33	Charts →
Hyperliquid USDCperpetual-GRASS-USDC:USDC	0.42059	-6.91%	$3.1M	$15.7M	+0.0013%	9.26	Charts →

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

Every chart for GRASS →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: GRASS on Binance, OKX and 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).
# OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page.
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),
)
CONTRACTS = [
    ("binance-futures", "perpetual-GRASS-USDT:USDT"),
    ("okx-perps", "perpetual-GRASS-USDT:USDT"),
    ("hyperliquid-perps", "perpetual-GRASS-USDC:USDC"),
]

frames = {}
for exchange, symbol in CONTRACTS:
    frames["flow", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="flow",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l1_liquidity", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l1_liquidity",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l2_imbalance", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l2_imbalance",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["basis", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="basis",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["open_interest", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="open_interest",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["funding", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="funding",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )

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

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

Binance USDTperpetual-GRASS-USDT:USDT

0.42080

-6.96%

$14.8M

$10.8M

+0.0050%

2.28

Charts →

OKX USDTperpetual-GRASS-USDT:USDT

0.42060

-7.01%

$6.1M

$4.7M

+0.0050%

2.33

Charts →

Hyperliquid USDCperpetual-GRASS-USDC:USDC

0.42059

-6.91%

$3.1M

$15.7M

+0.0013%

9.26

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: GRASS on Binance, OKX and 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). # OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page. 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), ) CONTRACTS = [ ("binance-futures", "perpetual-GRASS-USDT:USDT"), ("okx-perps", "perpetual-GRASS-USDT:USDT"), ("hyperliquid-perps", "perpetual-GRASS-USDC:USDC"), ] frames = {} for exchange, symbol in CONTRACTS: frames["flow", exchange, symbol] = get_metrics( api_key=API_KEY, metric="flow", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l1_liquidity", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l2_imbalance", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange=exchange, symbol=symbol, **PERIOD, ) frames["basis", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange=exchange, symbol=symbol, **PERIOD, ) frames["open_interest", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange=exchange, symbol=symbol, **PERIOD, ) frames["funding", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange=exchange, symbol=symbol, **PERIOD, )