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Regulation
Upcoming Crypto Bill Vote Pushes Debate to Full Senate as ‘Major Obstacles’ Remain
13 May 2026
Regulation
Farage Faces Standards Probe over £5m Crypto-linked Gift
13 May 2026
Wallets
How to Convert Crypto to Cash Instantly (Step-by-Step Guide)
6 May 2026
iGaming
GR8 Tech Enhances Crypto Capabilities with Cryptopay Partnership
21 April 2026
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Interview: Cubeia’s Nano Platform and the Future of Crypto Casinos – Caroline Björkman on Innovation and Growth
Read story 02Infantino Revives Talk of Potential FIFA Digital Currency
Speaking at the World Freedom Forum last month, the FIFA president confirmed that the organisation is actively exploring the concept
Read story 03GR8 Tech Crypto Turnkey Clients Report 1.6x Deposit Conversion, 3x Lower Transaction Costs
Crypto Turnkey is now available globally and can be deployed as a new solution or switched to from Hyper Turnkey.
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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
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
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
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
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
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
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
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
- Bitcoin Surges Past $106,000 as US Government Shutdown Nears Resolution10 November 2025
- Crypto Investors Drive Surge in Demand for Offline Security Devices Amid Record Hack Attacks10 November 2025
- Samourai Wallet Developer Sentenced to Five Years for Unlicensed Money Transmitting7 November 2025
- Google Integrates Real-Time Prediction Markets into Google Finance7 November 2025
New whitepapers
All researcharXiv · 18 August 2026
TENET: Telegram Mini App (in)security
Telegram, with over 450 million daily active users, has introduced Mini Apps---web-based applications running directly within its client. However, this integration introduces notable security risks. As we demonstrate, many Mini Apps store authentication materials---such as session tokens and wallet mnemonic phrases---in plaintext on client devices, exposing users to unauthorized access, impersonation, and financial exploitation. While insecure client-side storage is a known risk in web applications, the Telegram Mini App ecosystem presents a uniquely dangerous combination of factors absent from prior work: no platform-level security review, no storage access restrictions, a financially motivated user base handling live cryptocurrency assets, and a WebView environment that offers weaker protections than standalone browsers. To investigate this threat, we present TENET, a purpose-built auditing tool whose design decisions---pattern selection, entropy thresholds, and charset validation---are grounded in the structural properties of the secrets targeted and empirically validated against a ground-truth dataset. We screened 61 Mini Apps using a stratified, popularity-weighted sampling st
arXiv · 18 August 2026
SoK: Cross-Chain Transaction Identification and Matching
Cross-chain bridges, instant cryptocurrency exchanges, and centralized cross-ledger platforms move assets across an increasingly multi-chain ecosystem. However, these systems have repeatedly become targets of high-value attacks and channels for cross-chain money laundering. Cross-chain transactions are substantially harder to analyze than single-chain transactions: no single ledger records an entire cross-chain transfer, its evidence is scattered across the source chain, the destination chain, and off-chain systems, and the availability and reliability of that evidence vary widely across systems. In this paper, we present a systematization of knowledge (SoK) on cross-chain transaction identification and matching. First, we classify deposit and withdrawal identification methods into four approaches and transaction matching methods into three mechanisms: deterministic identifier matching, field-constraint heuristics, and model-assisted matching. We find that their applicability and reported performance are shaped mainly by the evidence the underlying system exposes, and we further examine how matched pairs support downstream attack detection and fund tracing. Second, we assess the av
arXiv · 18 August 2026
FlowShield: cryptocurrency anti-money laundering with transaction semantics parsing and fund flow tracking
Cryptocurrency anti-money laundering (Crypto AML) is increasingly challenged by sophisticated laundering behaviors that rapidly fragment stolen assets through diverse semantics and across multiple blockchains. Existing Crypto AML methods often simplify transaction semantics, rely on topology-centric signals, or output isolated detection labels. In this paper, we present \textsc{FlowShield}, a Crypto AML framework for transaction-level laundering detection and investigator-facing report generation. \textsc{FlowShield} first recovers behavior-level semantics from observable relations, making laundering intents explicit. To trace value provenance and redistribution, \textsc{FlowShield} reconstructs fund-flow subgraphs from three complementary perspectives. It then employs a text--structure fusion mechanism, enabling the interplay between large language model (LLM)-encoded semantics and flow texts with graph convolutional network (GCN)-encoded structure. Beyond mere detection, \textsc{FlowShield} further generates readable suspicious activity reports (SARs), offering investigators concise summaries and explainable red flags. To address the data scarcity in multi-chain detection, we con
arXiv · 18 August 2026
MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency Forecasting
Forecasting cryptocurrency prices remains a formidable challenge due to inherent non-stationarity, abrupt regime shifts, and multi-scale stochastic dependencies. Conventional deep learning models often struggle to capture complex underlying dynamics, frequently resulting in persistent phase-lagged predictions. To address these limitations, we propose MoFE, a novel deep learning framework that integrates Fourier Neural Operators (FNOs) within a Mixture-of-Experts (MoE) architecture. Rooted in the theoretical framework of stochastic differential equations, MoFE conceptualizes cryptocurrency volatility as a superposition of multi-frequency components, which includes user network based fundamental growth, mining costs and halving mechanism caused seasonal volatility, and market sentiment-induced chaos. Specifically, specialized adaptive FNO (AFNO) and Convolution dual-domain experts learn continuous function-to-function mappings to encapsulate global spectral trends, cyclical adjustments and microstructures, while a dynamic gating based MoE mechanism enables adaptive strategy switching across diverse market regimes. Extensive experiments on Bitcoin datasets spanning January 2020 to Dec
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