# Сопутствующие статьи по теме Scams

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Scams", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Nigerian SEC Partners With Police To Tackle Crypto Ponzi Schemes – Details

Nigerian SEC Partners With Police To Tackle Crypto Ponzi Schemes – Details The Nigerian Securities and Exchange Commission (SEC) is intensifying its focus on the local cryptocurrency industry. It has formed an alliance with the Nigeria Police Force (NPF) to combat cryptocurrency fraud and other illegal operations. SEC Director-General Dr. Emomotimi Agama, meeting with the Inspector General of Police, expressed deep concern over malicious actors exploiting investors' trust through the "glamorous but misunderstood language of cryptocurrency and forex trading." He described these actions as a social menace that erodes public confidence. To close the enforcement gap, Dr. Agama proposed creating a specialized SEC-NPF team with financial and tactical intelligence to curb investment fraud. The IGP approved the collaboration. This initiative follows significant crypto scams in Nigeria, most notably the crash of the Crypto Bridge Exchange (CBEX) in April 2025, which resulted in over $916 million in lost user funds. Alongside this new partnership, the SEC has implemented other protective measures, including revised minimum capital requirements for Virtual Asset Service Providers (VASPs) and publishing a list of identified fraudulent businesses. This regulatory push is crucial for Nigeria, a fast-growing crypto hub where approximately 22 million people hold digital assets.

bitcoinist01/18 12:01

Nigerian SEC Partners With Police To Tackle Crypto Ponzi Schemes – Details

bitcoinist01/18 12:01

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

This article summarizes the top concerns of cryptocurrency users in 2025, as predicted by 10 major AI models. The models were asked to identify the three most common questions users would have about crypto in 2025, with instructions to avoid real-time searches and base answers on long-term discussion patterns. The responses, while varied, cluster around three core themes: market cycles, profit opportunities, and risk management. Key recurring questions include: - The current market phase (bull or bear) and how long it will last. - Bitcoin's price trajectory post-halving and the market's peak. - Where to find profitable opportunities (alpha) and the best assets or sectors to invest in (e.g., RWA, AI+Crypto, L2s, Solana). - The impact of regulatory changes and ETF approvals on the market and asset safety. - How to identify scams, assess project legitimacy, and securely store assets. - Practical on-chain concerns like avoiding MEV and setting slippage. The analysis notes that the models' different focuses reflect their design and user base. For instance, ChatGPT framed questions around a structured narrative of market anxiety, while Kimi addressed granular technical issues. More capable models tended to provide sharper, more specific questions, while others fell back on broader, common themes. Overall, the collective output reveals a user mindset focused on first gauging market trends, then seeking alpha, and finally mitigating risks.

比推12/24 06:50

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

比推12/24 06:50

What Are Crypto Users Most Concerned About in 2025? 10 AI Models Give Different Answers

The article explores what cryptocurrency users might be most concerned about in 2025 by querying 10 major AI models with the same prompt. Each model was asked to list the top three questions crypto users would frequently ask in 2025, with instructions to avoid real-time searches and rely on their understanding of long-term discussion patterns. The models provided varied responses, reflecting their unique focuses and contextual training. For instance, ChatGPT emphasized market cycles and alpha opportunities, while Grok focused on narratives like Bitcoin halving and ETF inflows. Perplexity prioritized price trends and scams, and Claude highlighted risk management for beginners. Gemini leaned toward real-world assets and technical roadmaps like L2 and AI integration. Chinese models like Douban and Wenxin were more aligned with regulatory impacts and market cycles, whereas Kimi delved into practical on-chain issues like wallet security and MEV. Overall, the questions centered on three core themes: market cycle positioning, profit opportunities, and risk management. The diversity in responses suggests differences in model design, data training, and intended use cases, with more advanced models often providing more structured and specific questions. The findings reflect the crypto community’s persistent focus on volatility, narrative-driven markets, and the balance between seeking returns and avoiding risks.

marsbit12/24 03:12

What Are Crypto Users Most Concerned About in 2025? 10 AI Models Give Different Answers

marsbit12/24 03:12

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