PROS perps

Perp · OKX · #765 by volume

0.50720+1.79% 24h

OKX USDT · 24h 0.48210 – 0.52610

24h volume: $653.9K; #765 of 910
Open interest: $791.6K; −0.8% contracts · 24h
Spread: 9.56 bps; median · 24h
Size at best price: $162; mean · 24h
Net taker flow: −$2.1K; every contract · 24h
Funding: +0.0050%; per period · OKX

Aperiodic metrics · PROS · 24 h

Every metric on PROS, bar by bar →

Are takers buying or selling PROS?

Flow

Takers sold $2.1K more than they bought on OKX USDT over 24 h; the heaviest hour, 06:20 UTC, saw $13.4K.

+$13.4K0−$13.4K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross PROS's spread?

L1 liquidity

9.56 bps median on OKX USDT, wider than 97% 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
#765PROS9.56 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at PROS's best price?

L1 liquidity

$162 at the best bid and ask on OKX USDT, on average, thinner than 97% 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
#765PROS$162

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PROS's book leaning?

L2 imbalance

Leaned to the bid in 15 of 24 hours on OKX USDT; 51% bids over the day.

62% bid038% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does PROS trade away from its index?

Basis

41.3 bps below its index on OKX USDT now; 23.1 bps below to 8.08 bps above over 24 h.

+23.1 bps0−23.1 bps

23:20 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in PROS?

Open interest

$791.6K open across 1 contract: −0.8% in contracts, +1.0% in dollars over 24 h.

$816.0K$762.9K

23:20 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PROS?

Funding

Longs pay +0.0050% a period on OKX USDT; between +0.0035% and +0.0050% over 24 h.

+0.0050%0−0.0050%

23:20 UTCnow

funding.funding_rateOKX USDT · hourly

PROS's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-PROS-USDT:USDT	0.50720	+1.79%	$653.9K	$791.6K	+0.0050%	9.56	Charts →

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

Every chart for PROS →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: PROS on OKX
# 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),
)

flow = get_metrics(
    api_key=API_KEY,
    metric="flow",
    exchange="okx-perps",
    symbol="perpetual-PROS-USDT:USDT",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="okx-perps",
    symbol="perpetual-PROS-USDT:USDT",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="okx-perps",
    symbol="perpetual-PROS-USDT:USDT",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="okx-perps",
    symbol="perpetual-PROS-USDT:USDT",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="okx-perps",
    symbol="perpetual-PROS-USDT:USDT",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="okx-perps",
    symbol="perpetual-PROS-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

OKX USDTperpetual-PROS-USDT:USDT

0.50720

+1.79%

$653.9K

$791.6K

+0.0050%

9.56

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: PROS on OKX # 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), ) flow = get_metrics( api_key=API_KEY, metric="flow", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="okx-perps", symbol="perpetual-PROS-USDT:USDT", **PERIOD, )