Trump Media perpsDJT

Stock perp · Binance · #393 by volume

4.575-8.94% 24h

Binance USDT · 24h 4.503 – 5.076

24h volume: $3.4M; #393 of 914
Open interest: $600.5K; −21.5% contracts · 24h
Spread: 9.95 bps; median · 24h
Size at best price: $654; mean · 24h
Net taker flow: −$37.3K; every contract · 24h
Funding: −0.2619%; per period · BIN

Aperiodic metrics · DJT · 24 h

Every metric on DJT, bar by bar →

Are takers buying or selling DJT?

Flow

Takers sold $37.0K more than they bought on Binance USDT over 24 h; the heaviest hour, 19:25 UTC, saw $35.3K.

+$78.4K0−$78.4K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross DJT's spread?

L1 liquidity

9.95 bps median on Binance USDT, wider than 97% 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
#393DJT9.95 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at DJT's best price?

L1 liquidity

$654 at the best bid and ask on Binance USDT, on average, thinner than 79% 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
#393DJT$654

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is DJT's book leaning?

L2 imbalance

Leaned to the ask in 16 of 24 hours on Binance USDT; 48% bids over the day.

59% bid041% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does DJT trade away from its index?

Basis

92.2 bps below its index on Binance USDT now; 76.6 bps below to 26.6 bps above over 24 h.

+76.6 bps0−76.6 bps

23:25 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in DJT?

Open interest

$600.5K open across 1 contract: −21.5% in contracts, −28.2% in dollars over 24 h.

$834.4K$599.5K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on DJT?

Funding

Shorts pay −0.2619% a period on Binance USDT; between −0.2018% and +0.0553% over 24 h.

+0.2018%0−0.2018%

23:25 UTCnow

funding.funding_rateBinance USDT · hourly

DJT's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-DJT-USDT:USDT	4.575	-8.94%	$3.4M	$600.5K	−0.2619%	9.95	Charts →

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

Every chart for DJT →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

4.575

-8.94%

$3.4M

$600.5K

−0.2619%

9.95

Charts →

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