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#AssetPrice1h24h7dMarket capVolume 24h
1BitcoinBTC$81,438.00+0.22%-0.10%-1.89%$1.64T$14.1B
2EthereumETH$2,413.55+0.26%-0.02%-3.62%$294.8B$5.77B
3TetherUSDT$0.999017+0.01%-0.00%-0.01%$183.48B$29.4B
4BNBBNB$714.51+0.16%-1.03%-4.59%$95.14B$496.05M
5XRPXRP$1.30+0.44%-0.28%-7.50%$81.9B$722.51M
6USDCUSDC$0.999742+0.00%-0.00%+0.00%$72.53B$9.09B
7SolanaSOL$103.85+0.50%+0.41%-5.47%$61.21B$1.57B
8TRONTRX$0.333973-0.04%-0.21%+1.04%$31.73B$295.02M
9Figure HelocFIGR_HELOC$1.03-0.01%-0.49%+2.81%$24.73B$100.74M
10ZcashZEC$1,147.33+1.62%+0.52%-6.54%$19.49B$631.83M

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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

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

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

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

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

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

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

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

New whitepapers

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arXiv · 2 October 2026

PoCoFL: POlicy-COmpliant Federated Learning

Federated Learning (FL) is a privacy-oriented learning paradigm that enables collaborative model training while keeping training data local to participating clients. However, it does not guarantee that clients submit policy-compliant contributions or that aggregators process admitted contributions correctly. Existing verifiable FL systems tailor validation rules to specific FL settings, learning workflows, and cryptographic constructions, limiting their applicability across network topologies, participant roles, and aggregation semantics. In this paper, we present PoCoFL, a policy-compliant federated learning framework that separates three aspects: (i) FL type, (ii) policy semantics, and (iii) cryptographic realisation. We provide a formalisation that captures client and aggregation requirements as policy-dependent relations. Clients prove compliance of their contributions using commitments and non-interactive zero-knowledge proofs, while aggregators prove that the recorded set of admitted contributions was processed according to the selected aggregation policy. We demonstrate PoCoFL through four formal instantiations: (i) vanilla, (ii) continual, (iii) personalised, and (iv) thres

arXiv · 2 October 2026

Asymptotic Analysis of Trading Fees in CFMM

As the dominant trading mechanism in decentralized finance, Automated Market Maker has been widely studied in research. However, limited research has been done with the trading fees taken into consideration. In this work, we study how much trading fee Liquidity Providers(LPs) can receive from arbitrage trading when the fee rate approaches zero. We give a closed-form formula for it and our result shows that the trading fees generated by arbitrage trading can fully offset the LVR loss when the price process is continuous. We further extend our conclusions to price processes with jumps and the theoretical analysis shows that jumps are the only cause of LP loss apart from market risks. Our results provide practical guidance for AMM designers as well as LPs.

arXiv · 2 October 2026

From TS-SUF-2 to TS-SUF-4: Practical Security Enhancements for FROST2 Threshold Signatures

Threshold signature schemes play a vital role in securing digital assets within blockchain and distributed systems. FROST2 stands out as a practical threshold Schnorr signature scheme, noted for its efficiency and compatibility with standard verification processes. However, under the one-more discrete logarithm assumption, with static corruption and centralized key generation settings, FROST2 has been shown by Bellare et al. (in CRYPTO 2022) to achieve only TS-SUF-2 security, which is a consequence of its vulnerability to TS-UF-3 attacks. In this paper, we address this security limitation by presenting an enhanced variant of FROST2, namely, FROST2+ which achieves the TS-SUF-4 security level under the same computational assumptions as the original FROST2. FROST2+ strengthens FROST2 by integrating additional pre-processing token verifications that help mitigate TS-UF-3 and TS-UF-4 vulnerabilities while maintaining practical efficiency. We show that FROST2+ can achieve TS-SUF-4 security not only under the same conditions as the original FROST2 analysis, but also when initialized with a distributed key generation protocol such as PedPoP. Our benchmark using ZCash's FROST library shows

arXiv · 1 October 2026

Rateless Nested Lattice Codes for Secure Cooperative V2X Broadcast over Fading and Erasure Channels

Vehicle-to-everything (V2X) sidelink and uplink broadcast must deliver safety-critical and application-layer data reliably under fast time-varying fading, intermittent packet erasures, and exposure to passive eavesdroppers. Fixed-rate physical-layer codes are poorly matched to these conditions because link quality and the number of successfully received symbols vary across vehicles and over time. This paper proposes a unified vehicular communication framework that combines rateless Construction-D' Raptor lattices, nested-lattice physical-layer security (PLS) with direct-sequence spread spectrum (DSSS), and blockchain-assisted trust management for decode-and-forward (DF) cooperative relaying. At the physical layer, Raptor codes provide incremental redundancy over unreliable V2X links; multilevel lattice decoding enables power-efficient joint coding and modulation; nested shaping and spread spectrum limit fine-lattice recovery by eavesdroppers; and a distributed ledger records decoding success at relays to support reputation-aware relay selection. We model the vehicular air interface as a block-Rayleigh fading channel with additive Gaussian noise and random symbol erasures, represent

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