FET perps
Perp · Binance, OKX, Hyperliquid · #124 by volume
Binance USDT · 24h 0.13900 – 0.15130
- 24h volume
- $42.5M
- #124 of 914
- Open interest
- $25.8M
- −3.9% contracts · 24h
- Spread
- 6.80 bps
- median · 24h
- Size at best price
- $17.5K
- mean · 24h
- Net taker flow
- −$1.7M
- every contract · 24h
- Funding
- +0.0062%
- per period · BIN
Aperiodic metrics · FET · 24 h
What does it cost to cross FET's spread?
L1 liquidity6.80 bps median on Binance USDT, wider than 91% 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
- #124FET6.80 bps
- #200AIN2.70 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at FET's best price?
L1 liquidity$17.5K at the best bid and ask on Binance USDT, on average, deeper than 82% 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
- #124FET$17.5K
- #200AIN$180
l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h
Where does FET trade?
OHLCVBinance USDT took 91% of $42.5M traded in 24 h; the tightest spread is Hyperliquid USDC's, 2.73 bps.
volume sharespread
- Binance USDT91%6.80
- OKX USDT6.3%6.81
- Hyperliquid USDC2.2%2.73
ohlcv.volume_notionaleach contract · 24 h
Who pays funding on FET?
FundingLongs pay on 3 of 3 contracts; Binance USDT charges +0.0062% a period (Hyperliquid’s are hourly).
- Binance USDT+0.0062%
- 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.
FET's 3 contracts · now
History · a year of 5m bars per series · busiest contract on each venue
import os
from datetime import date
from aperiodic import get_derivative_metrics, get_metrics
# aperiodic.io/markets: FET 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-FET-USDT:USDT"),
("okx-perps", "perpetual-FET-USDT:USDT"),
("hyperliquid-perps", "perpetual-FET-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.