Broadcom perpsAVGO

Stock perp · Binance, OKX, Hyperliquid · #106 by volume

341.620-6.47% 24h

Binance USDT · 24h 338.070 – 369.180

24h volume: $53.0M; #106 of 910
Open interest: $29.0M; −7.1% contracts · 24h
Spread: 0.28 bps; median · 24h
Size at best price: $862; mean · 24h
Net taker flow: +$375.9K; every contract · 24h
Funding: +0.0000%; per period · BIN

Aperiodic metrics · AVGO · 24 h

Are takers buying or selling AVGO?

Takers bought $365.8K more than they sold on Binance, OKX and Hyperliquid over 24 h; the heaviest hour, 14:20 UTC, saw $1.3M.

+$1.3M0−$1.3M

23:20 UTCnow

flow.volume_delta_notionalbusiest contract on each venue · hourly · 24 h

What does it cost to cross AVGO's spread?

L1 liquidity

0.28 bps median on Binance USDT, tighter than 88% 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
#106AVGO0.28 bps
#200AIN2.70 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at AVGO's best price?

L1 liquidity

$862 at the best bid and ask on Binance USDT, on average, thinner than 72% 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
#106AVGO$862
#200AIN$181

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is AVGO's book leaning?

L2 imbalance

Leaned to the bid in 13 of 24 hours on Binance USDT; 50% bids over the day.

63% bid037% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Where does AVGO trade?

OHLCV

Binance USDT took 81% of $53.0M traded in 24 h.

volume sharespread

Binance USDT81%0.28
OKX USDT12%1.66
Hyperliquid xyz USDC7.9%3.93
Hyperliquid para USDC0.0%34.2

ohlcv.volume_notionaleach contract · 24 h

Does AVGO trade away from its index?

Basis

9.83 bps above its index on Binance USDT now; 2.73 bps below to 8.62 bps above over 24 h.

+8.62 bps0−8.62 bps

23:20 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in AVGO?

Open interest

$29.0M open across 4 contracts: −7.1% in contracts, −13.4% in dollars over 24 h.

$33.3M$28.8M

23:20 UTCnow

open_interest.open_interestbusiest contract on each venue · hourly

Who pays funding on AVGO?

Funding

Longs pay on 2 of 4 contracts; Binance USDT charges +0.0000% a period (Hyperliquid’s are hourly).

Binance USDT+0.0000%
OKX USDT+0.0000%
Hyperliquid xyz USDC+0.0015%
Hyperliquid para USDC+0.0008%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

AVGO's 4 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-AVGO-USDT:USDT	341.620	-6.47%	$42.7M	$20.6M	+0.0000%	0.28	Charts →
OKX USDTperpetual-AVGO-USDT:USDT	341.570	-6.46%	$6.1M	$3.7M	+0.0000%	1.66	Charts →
Hyperliquid xyz USDCperpetual-XYZ:AVGO-USDC:USDC	341.460	-6.38%	$4.2M	$4.6M	+0.0015%	3.93	Charts →
Hyperliquid para USDCperpetual-PARA:AVGO-USDC:USDC	341.770	—	$22.8K	$144.5K	+0.0008%	34.2	Charts →

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

Every chart for AVGO →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: AVGO 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-AVGO-USDT:USDT"),
    ("okx-perps", "perpetual-AVGO-USDT:USDT"),
    ("hyperliquid-perps", "perpetual-XYZ:AVGO-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-AVGO-USDT:USDT

341.620

-6.47%

$42.7M

$20.6M

+0.0000%

0.28

Charts →

OKX USDTperpetual-AVGO-USDT:USDT

341.570

-6.46%

$6.1M

$3.7M

+0.0000%

1.66

Charts →

Hyperliquid xyz USDCperpetual-XYZ:AVGO-USDC:USDC

341.460

-6.38%

$4.2M

$4.6M

+0.0015%

3.93

Charts →

Hyperliquid para USDCperpetual-PARA:AVGO-USDC:USDC

341.770

—

$22.8K

$144.5K

+0.0008%

34.2

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: AVGO 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-AVGO-USDT:USDT"), ("okx-perps", "perpetual-AVGO-USDT:USDT"), ("hyperliquid-perps", "perpetual-XYZ:AVGO-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, )