Building trust in onchain
capital markets.

Core Density: 4.92 g/cm³

Thermal Signature: 18.7 °

Charge Potential: 0.87 kV

Surface Conductivity: 63%

Vertex Count: 1,204

Edge Network: 3,612 links active

Surface Deviation: 0.13 from ideal polyhedron

Symmetry Index: 42% broken

Structural Integrity: 97% stable

Fracture Density: 8.3 micro-cracks / cm²

Contour Drift: 0.004 units / scan cycle

UTC T00:00:00Z // Block Cycle: 0000 // Continuous s2026-01-01 // Session ID: BW-SCAN-A000

24h Spot Volume

19.13B
-8.16%

24h Perps Volume

152.56B
+0.66%

Open Interest

91.67B
+1.49%

Total Crypto Marketcap

2.29T
+0.62%

24h Liquidations

130.69M
+34.57%

Price Performance 24h

World Liberty Financial icon

World Liberty Financial WLFI

7.07%

$0.06041

ApeCoin icon

ApeCoin APE

4.59%

$0.1513

1INCH icon

1INCH 1INCH

4.57%

$0.08558

KAITO icon

KAITO KAITO

4.49%

$1.03

Morpho icon

Morpho MORPHO

2.42%

$2.00

Jito icon

Jito JTO

2.41%

$0.6349

MemeCore icon

MemeCore M

1.64%

$1.16

Lending: Stablecoin Interest Rates

View data

Total Blockchain REV

All fees paid for general purpose blockspaceView data

Crypto ETF Flows

Rolling 5d flows into BTC, ETH, and SOL ETFsView data

Market Sectors

View all
Name
REV (24h)
TPS (7d)
Median Fee (7d)
Spot Volume (24h)
Stablecoin Deposits
Price
Market Cap
TRON

TRON

TRX

Solana

Solana

SOL

BNB

BNB

BNB

Ethereum

Ethereum

ETH

Robinhood Chain

Robinhood Chain

Bitcoin

Bitcoin

BTC

Polygon

Polygon

POL

Base

Base

THORChain

THORChain

RUNE

Avalanche C-Chain

Avalanche C-Chain

AVAX

Arbitrum

Arbitrum

ARB

NEAR Protocol

NEAR Protocol

NEAR

HyperEVM

HyperEVM

HYPE

Monad

Monad

MON

Aptos

Aptos

APT

Sui

Sui

SUI

MegaETH

MegaETH

MEGA

Cardano

Cardano

ADA

Optimism

Optimism

OP

Zcash

Zcash

ZEC

Worldchain

Worldchain

WLD

Mantle

Mantle

MNT

ZKsync Era

ZKsync Era

ZK

XRP-Ledger

XRP-Ledger

XRP

Ink

Ink

INK

Unichain

Unichain

UNI

Plasma

Plasma

XPL

Celestia

Celestia

TIA

Katana

Katana

KAT

Berachain

Berachain

BERA

Tempo

Tempo

Fluent

Fluent

Fogo

Fogo

FOGO

Latest Podcasts

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Digital Asset Summit 2026

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Previous Speakers

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Mohamed El-Erian

Michael Saylor icon

Michael Saylor

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Cathie D. Wood

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Richard Teng

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Anatoly Yakovenko

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Caitlin Long

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Crypto ETFs

Onchain metrics, activity and charts for Crypto ETFs.

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Treasury Companies

Track trading volume, net asset value (NAV), and key risk measures for crypto treasury companies.

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Revenue Leaderboard

Track on-chain revenue from leading crypto apps.

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Research

Breaking headlines across our core coverage categories.

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Bottom Signals

Research

Bottom Signals

BTC registered its most oversold readings on record against both the Nasdaq and gold, while spot trades 18% above its $53K realized price. Comparable extremes have marked the terminal phase of a bear market. Should the historical structure hold, BTC is likely at or near a high timeframe low, with that low likely to be set by year end, prior to a multi-year uptrend resuming.

Venice: Building the Privacy Layer for AI

Research

Venice: Building the Privacy Layer for AI

As frontier AI models move toward greater identity verification and KYC requirements, demand for private AI is likely to grow alongside them. Venice is positioning itself as the privacy layer for AI, but the investment ultimately comes down to whether business success can translate into long term value for VVV. In this report, we evaluate the protocol's adoption, unit economics and token value accrual.

Jito - JTX: Moving Up The Stack

Research

Jito - JTX: Moving Up The Stack

Jito is mispriced because the market still sees it as backend Solana infrastructure, while the business is moving toward owning the trading interface. JTX is the key shift, turning Jito from a price taker on blockspace activity into a price setter on user flow. Few crypto teams deliberately give up high-margin income to help their L1 win, and Jito has now made that trade more than once. Now that team is building Solana's first credible, native trading front end, aimed at the institutional and RWA endgame rather than optimizing for near-term fees.

Compute Capital Markets: Financializing the AI Supply Chain

Research

Compute Capital Markets: Financializing the AI Supply Chain

Compute demand is two-sided, the precondition for any hedging market. Producers (neoclouds and independent data centers) fear their inventory clears below cost. Consumers (inference platforms and the agentic application layer) fear compute will get more expensive. The common read holds that nonfungibility keeps both off any general exchange, since a buyer wants a named SKU in a named region rather than a basket, so the trade stays bilateral and the only exchange users are dealers hedging their book. That describes launch conditions, but understates how commodity markets form. Canonical benchmarks get made through trading, and reservations standardize as the curve deepens. The dealer-intermediated structure is not the end state, it is the seed of one.

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