future-BTC-USDT perps
Perp · Binance · #144 by volume
Binance · 24h 67,874.5 – 71,979.8
- 24h volume
- $32.1M
- #144 of 914
- Open interest
- $61.1M
- +0.9% contracts · 24h
- Spread
- 1.51 bps
- median · 24h
- Size at best price
- $1.7K
- mean · 24h
- Net taker flow
- −$1.2M
- every contract · 24h
- Funding
- +0.0000%
- per period · BIN
Aperiodic metrics · future-BTC-USDT · 24 h
What does it cost to cross future-BTC-USDT's spread?
L1 liquidity1.51 bps median on Binance, tighter than 62% 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
- #144future-BTC-USDT1.51 bps
- #200AIN2.70 bps
l1_liquidity.spread_bpsbusiest contract · median · 24 h
How much size waits at future-BTC-USDT's best price?
L1 liquidity$1.7K at the best bid and ask on Binance, on average, thinner than 58% 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
- #144future-BTC-USDT$1.7K
- #200AIN$180
l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h
Where does future-BTC-USDT trade?
OHLCVBinance took 63% of $32.1M traded in 24 h.
volume sharespread
- Binance63%1.51
- Binance37%2.26
ohlcv.volume_notionaleach contract · 24 h
Who pays funding on future-BTC-USDT?
FundingLongs pay on 0 of 2 contracts; Binance charges +0.0000% a period.
- Binance+0.0000%
- Binance+0.0000%
← 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.
future-BTC-USDT's 2 contracts · now
History · a year of 5m bars per series · busiest contract
import os
from datetime import date
from aperiodic import get_derivative_metrics, get_metrics
# aperiodic.io/markets: future-BTC-USDT on Binance
# 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="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)
l1_liquidity = get_metrics(
api_key=API_KEY,
metric="l1_liquidity",
exchange="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)
l2_imbalance = get_metrics(
api_key=API_KEY,
metric="l2_imbalance",
exchange="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)
basis = get_derivative_metrics(
api_key=API_KEY,
metric="basis",
exchange="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)
open_interest = get_derivative_metrics(
api_key=API_KEY,
metric="open_interest",
exchange="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)
funding = get_derivative_metrics(
api_key=API_KEY,
metric="funding",
exchange="binance-futures",
symbol="future-BTC-USDT:USDT-20261225",
**PERIOD,
)Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.