CGPT perps

Perp · Binance · #712 by volume

0.01687-3.54% 24h

Binance USDT · 24h 0.01666 – 0.01753

24h volume: $849.9K; #712 of 914
Open interest: $991.5K; −0.9% contracts · 24h
Spread: 5.87 bps; median · 24h
Size at best price: $263; mean · 24h
Net taker flow: +$16.3K; every contract · 24h
Funding: +0.0050%; per period · BIN

Aperiodic metrics · CGPT · 24 h

Every metric on CGPT, bar by bar →

Are takers buying or selling CGPT?

Flow

Takers bought $16.3K more than they sold on Binance USDT over 24 h; the heaviest hour, 20:25 UTC, saw $13.1K.

+$19.4K0−$19.4K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross CGPT's spread?

L1 liquidity

5.87 bps median on Binance USDT, wider than 88% 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
#712CGPT5.87 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at CGPT's best price?

L1 liquidity

$263 at the best bid and ask on Binance USDT, on average, thinner than 92% 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
#712CGPT$263

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is CGPT's book leaning?

L2 imbalance

Leaned to the bid in 13 of 24 hours on Binance USDT; 53% bids over the day.

69% bid031% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does CGPT trade away from its index?

Basis

25.1 bps below its index on Binance USDT now; 12.5 bps to 36.3 bps below over 24 h.

+36.3 bps0−36.3 bps

23:25 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in CGPT?

Open interest

$991.5K open across 1 contract: −0.9% in contracts, −3.9% in dollars over 24 h.

$1.0M$994.4K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on CGPT?

Funding

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

+0.0050%0−0.0050%

23:25 UTCnow

funding.funding_rateBinance USDT · hourly

CGPT's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-CGPT-USDT:USDT	0.01687	-3.54%	$849.9K	$991.5K	+0.0050%	5.87	Charts →

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

Every chart for CGPT →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

0.01687

-3.54%

$849.9K

$991.5K

+0.0050%

5.87

Charts →

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