STM perps

Perp · Binance · #867 by volume

46.280-0.96% 24h

Binance USDT · 24h 45.710 – 47.830

24h volume: $100.7K; #867 of 910
Open interest: $33.7K; +7.1% contracts · 24h
Spread: 15.1 bps; median · 24h
Size at best price: $203; mean · 24h
Net taker flow: +$1.3K; every contract · 24h
Funding: +0.0000%; per period · BIN

Aperiodic metrics · STM · 24 h

Every metric on STM, bar by bar →

Are takers buying or selling STM?

Flow

Takers bought $1.3K more than they sold on Binance USDT over 24 h; the heaviest hour, 23:20 UTC, saw $7.4K.

+$7.4K0−$7.4K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross STM's spread?

L1 liquidity

15.1 bps median on Binance USDT, the widest 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
#867STM15.1 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at STM's best price?

L1 liquidity

$203 at the best bid and ask on Binance USDT, on average, thinner than 95% 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
#867STM$203

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is STM's book leaning?

L2 imbalance

Leaned to the ask in 13 of 24 hours on Binance USDT; 52% bids over the day.

85% bid015% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does STM trade away from its index?

Basis

11.8 bps above its index on Binance USDT now; 45.2 bps below to 19.5 bps above over 24 h.

+45.2 bps0−45.2 bps

23:20 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in STM?

Open interest

$33.7K open across 1 contract: +7.1% in contracts, −6.1% in dollars over 24 h.

$40.9K$32.8K

23:20 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on STM?

Funding

Longs pay +0.0000% a period on Binance USDT; between −0.0607% and +0.0000% over 24 h.

+0.0607%0−0.0607%

23:20 UTCnow

funding.funding_rateBinance USDT · hourly

STM's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-STM-USDT:USDT	46.280	-0.96%	$100.7K	$33.7K	+0.0000%	15.1	Charts →

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

Every chart for STM →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: STM 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="perpetual-STM-USDT:USDT",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="binance-futures",
    symbol="perpetual-STM-USDT:USDT",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="binance-futures",
    symbol="perpetual-STM-USDT:USDT",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="binance-futures",
    symbol="perpetual-STM-USDT:USDT",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="binance-futures",
    symbol="perpetual-STM-USDT:USDT",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="binance-futures",
    symbol="perpetual-STM-USDT:USDT",
    **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-STM-USDT:USDT

46.280

-0.96%

$100.7K

$33.7K

+0.0000%

15.1

Charts →

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