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#AssetPrice1h24h7dMarket capVolume 24h
1BitcoinBTC$76,002.07+0.05%+0.13%-2.90%$1.53T$24.55B
2EthereumETH$2,406.86-0.19%-0.01%-2.54%$293.76B$12.61B
3TetherUSDT$0.999416+0.01%+0.00%-0.06%$183.34B$57.94B
4BNBBNB$719.17+0.12%+0.56%-1.97%$95.77B$676.04M
5XRPXRP$1.3009+0.75%+0.61%-7.25%$81.8B$3.34B
6USDCUSDC$1.0004+0.01%+0.03%+0.03%$73.69B$15.21B
7SolanaSOL$98.1561-0.34%+0.74%-4.28%$57.63B$2.47B
8TRONTRX$0.335653+0.03%+1.05%-1.09%$31.87B$438.31M
9Lido Staked EtherSTETH$2,406.52-0.36%-0.31%-2.79%$23.57B$9.5M
10ZcashZEC$1,289.96-4.98%+14.72%+3.47%$21.06B$2.14B

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D24 Fintech: Crypto Gaming and NFT ETFs Edge Closer to the Mainstream
iGaming

D24 Fintech: Crypto Gaming and NFT ETFs Edge Closer to the Mainstream

According to D24 Fintech, as digital gaming increasingly integrates blockchain mechanics — from in-game tokens to player-owned digital assets — ETFs could evolve to target crypto gaming studios, platform tokens and supporting hardware developers.

Andrew Jones · 8 January 2026

GR8 Tech Launches Crypto Turnkey Solution
iGamingWallets

GR8 Tech Launches Crypto Turnkey Solution

Crypto Turnkey removes operator dependence on third-party payment providers, enabling faster market entry and more stable operations.

Andrew Jones · 8 January 2026

Coinbase Poised to Expand Into Prediction Markets and Tokenised Equities
iGamingExchanges

Coinbase Poised to Expand Into Prediction Markets and Tokenised Equities

The new offerings are expected to enable users to trade event-based contracts and gain exposure to blockchain-based representations of publicly listed shares.

Abigail Welch · 16 December 2025

Mysterious Trader Places Multi-Million Crypto Bets Ahead of Trump’s 4pm Executive Order
iGamingEthereum

Mysterious Trader Places Multi-Million Crypto Bets Ahead of Trump’s 4pm Executive Order

Trump is expected to issue the order at 4:00pm EST on 24 November.

Beth Woods · 24 November 2025

TON Jumps 8% as Telegram Ecosystem Grows With AI Launch and Tokenised Stocks
TokensWallets

TON Jumps 8% as Telegram Ecosystem Grows With AI Launch and Tokenised Stocks

The price move pushed TON decisively through the $1.60 level amid a sharp rise in trading volume, helping it outperform the broader crypto market. By comparison, the CoinDesk 20 (CD20) index rose around 4% during the same period.

Beth Woods · 24 November 2025

Coinbase Carries Out Major Wallet Migration as Part of Routine Security Measures
WalletsExchanges

Coinbase Carries Out Major Wallet Migration as Part of Routine Security Measures

According to the company, the migration was not triggered by any cybersecurity incident or external threat.

Andrew Jones · 23 November 2025

Introducing Daw Global: Redefining Alternative Banking for the iGaming Industry
iGamingWallets

Introducing Daw Global: Redefining Alternative Banking for the iGaming Industry

The company’s ecosystem bridges the gap between fiat and digital finance, offering the flexibility and reliability modern operators demand.

Andrew Jones · 11 November 2025

WEISS Launches WEFT Token Sale 2.0, Expanding Blockchain Rewards in iGaming
iGamingTokens

WEISS Launches WEFT Token Sale 2.0, Expanding Blockchain Rewards in iGaming

Following the overwhelming success of its first sale—where 15 million tokens sold out in just 20 minutes—this second round aims to expand WEFT’s footprint across the blockchain and iGaming industries.

Abigail Welch · 11 November 2025

New whitepapers

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arXiv · 20 August 2026

Catching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine Learning

The rapid proliferation of memecoins on blockchain platforms has increased the risk of fraudulent activities, particularly rug pulls. While previous studies have focused on Ethereum-based tokens, this paper shifts the spotlight to Solana, the leading blockchain for memecoins by trading volume and token count. Unlike Ethereum, where rug pulls often exploit smart contract backdoors, Solana memecoin rug pulls are predominantly driven by liquidity manipulation and social dynamics. This research pioneers large-scale rug pull early detection in the Solana ecosystem by assembling a dataset of 6.4 million tokens over 7 months. Market analysis reveals that a vast majority of these memecoins exhibit rug pull characteristics within one hour of launch, highlighting the urgency of short-horizon prediction. Despite the absence of code-level features, we demonstrate that classic machine learning models, particularly Gradient Boosting (XGBoost), achieve robust performance in detecting potential rug pulls using only the first 5 minutes of trading data. Furthermore, we evaluate cross-platform generalization between PumpFun and Raydium, revealing that multi-source data fusion significantly mitigates

arXiv · 20 August 2026

Trustworthy mobile edge caching: a blockchain approach to mitigate malicious nodes and incentivize cache sharing

As mobile network traffic continues to grow, content caching on edge servers is critical for reducing latency. However, challenges such as malicious edge servers that may delete or manipulate cached content, along with the limited capacity of these servers, need to be addressed. To overcome the capacity limitations, helper mobile nodes can contribute their cache resources. However, due to their selfish behavior, an incentive mechanism is necessary to encourage resource sharing. Additionally, these helper nodes can also be malicious. This paper proposes a blockchain-based trust management mechanism that addresses these challenges by accurately identifying trustworthy edge servers and mobile nodes. The proposed mechanism calculates both direct and indirect trust using smart contracts, ensuring that malicious nodes are effectively filtered out. Trustworthiness is determined based on mobile node satisfaction with the quality of service, and trust data is securely stored on the blockchain. To combat node selfishness, a reward mechanism is introduced to incentivize cache sharing. Furthermore, a blockchain-based authentication mechanism protects against node impersonation. Our approach op

arXiv · 20 August 2026

TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility Scoring

Retrieval-Augmented Generation (RAG) lets Large Language Models (LLMs) pull in up-to-date, domain-specific information instead of relying only on what they were trained on. Yet most RAG systems still draw from centralized databases with limited oversight, making it difficult to verify where a document came from, whether it has been tampered with, or whether it should be trusted at all. This is a serious problem in domains where both the timeliness and accuracy of retrieved content are critical, such as healthcare, finance, logistics, and legal case law, where a wrong or manipulated document can directly lead to bad decisions. We present TrustRAG, a committee-based, blockchain-backed RAG system: before a document is used, it is certified by a committee of domain experts through a zero-knowledge protocol, and the committee's hidden scores are combined via secure multi-party computation into a trust score that any client can verify. These scores, along with the underlying document data, are maintained jointly across chains through hash commitments, so no document or score can be silently altered or dropped, and every ranking can be independently replayed and checked.

arXiv · 20 August 2026

ShadowPath: Lookup-Private Credential Status Verification over Authenticated State

Verifiable credentials let holders present digitally signed claims without requiring the issuer to participate in every presentation. Revocation complicates this privacy model because a verifier must determine whether a credential remains valid. Existing status checks may expose recurring identifiers, registry positions, or request metadata. Such information can serve as stable handles to link separate presentations. ShadowPath moves the credential status lookup to the holder. For each presentation, the holder proves, in zero-knowledge, that the credential has not been revoked under the verifier-selected registry root. The verifier learns the status result but not observable metadata. To the best of our knowledge, we provide the first evaluation of Verkle trees for credential revocation and compare them with sparse Merkle trees to assess their applicability in real world applications. The comparison tests whether reducing path depth with Verkle trees offsets the higher cost of KZG-based authentication. Across 30 desktop trials, median Groth16 proving took 371.6ms with sparse Merkle and 2.11s with Verkle. Verification took 3.70ms and 7.55ms, respectively. Groth16 Verkle proving took

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