DGAI perps

Perp · OKX · #241 by volume

0.72010-2.45% 24h

OKX USDT · 24h 0.71530 – 0.73950

24h volume: $9.6M; #241 of 914
Open interest: $832.5K; −8.6% contracts · 24h
Spread: 2.76 bps; median · 24h
Size at best price: $221; mean · 24h
Net taker flow: +$1.1M; every contract · 24h
Funding: +0.0050%; per period · OKX

Aperiodic metrics · DGAI · 24 h

Every metric on DGAI, bar by bar →

Are takers buying or selling DGAI?

Flow

Takers bought $1.1M more than they sold on OKX USDT over 24 h; the heaviest hour, 13:25 UTC, saw $315.2K.

+$315.2K0−$315.2K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross DGAI's spread?

L1 liquidity

2.76 bps median on OKX USDT, wider than 69% 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
#200AIN2.70 bps
#241DGAI2.76 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at DGAI's best price?

L1 liquidity

$221 at the best bid and ask on OKX USDT, on average, thinner than 95% 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
#200AIN$180
#241DGAI$221

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is DGAI's book leaning?

L2 imbalance

Leaned to the bid in 12 of 24 hours on OKX USDT; 49% bids over the day.

67% bid033% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does DGAI trade away from its index?

Basis

6.94 bps below its index on OKX USDT now; 9.52 bps below to 6.86 bps above over 24 h.

+9.52 bps0−9.52 bps

23:25 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in DGAI?

Open interest

$832.5K open across 1 contract: −8.6% in contracts, −10.6% in dollars over 24 h.

$967.5K$839.9K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on DGAI?

Funding

Longs pay +0.0050% a period on OKX USDT; between +0.0028% and +0.0050% over 24 h.

+0.0050%0−0.0050%

23:25 UTCnow

funding.funding_rateOKX USDT · hourly

DGAI's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-DGAI-USDT:USDT	0.72010	-2.45%	$9.6M	$832.5K	+0.0050%	2.76	Charts →

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

Every chart for DGAI →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: DGAI 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-DGAI-USDT:USDT",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="okx-perps",
    symbol="perpetual-DGAI-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-DGAI-USDT:USDT

0.72010

-2.45%

$9.6M

$832.5K

+0.0050%

2.76

Charts →

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