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Henri Arslanian Warns Traders Against Fake Profiles and Fraudulent Crypto Trading Platforms | Flash News Detail | Blockchain.News
Latest Update
7/27/2025 2:20:10 PM

Henri Arslanian Warns Traders Against Fake Profiles and Fraudulent Crypto Trading Platforms

Henri Arslanian Warns Traders Against Fake Profiles and Fraudulent Crypto Trading Platforms

According to Henri Arslanian, traders should remain vigilant as multiple fake profiles impersonating him have recently surfaced. Arslanian clarified he is not associated with the WhatsApp group 'Built for Trading (AI)-79?' or with the trading software BIEXAMC. He emphasized that he will never promote questionable cryptocurrencies or endorse unknown exchanges. This warning highlights the ongoing risk of scams in the crypto trading space and stresses the importance for traders to verify sources before acting on investment advice (Source: Henri Arslanian).

Source

Analysis

Crypto Scams Alert: Henri Arslanian Warns Against Fake Profiles and AI Trading Scams

In a recent tweet dated July 27, 2025, prominent crypto expert Henri Arslanian issued a stark warning to the community about the proliferation of fake profiles impersonating him. According to Henri Arslanian, these imposters are promoting unauthorized WhatsApp groups like 'Built for Trading (AI)-79?' and dubious trading software such as BIEXAMC. He emphasized that he has no affiliation with these entities and would never endorse buying low-quality cryptocurrencies, often called shitcoins, on obscure exchanges. This alert comes at a critical time in the cryptocurrency market, where scams can significantly impact trading sentiment and lead to substantial financial losses for unsuspecting investors. As an expert in financial and AI analysis, it's essential to highlight how such fraudulent activities correlate with broader market dynamics, potentially influencing volatility in major pairs like BTC/USDT and ETH/USDT.

The rise of AI-themed scams, as noted in Arslanian's warning, ties directly into the growing hype around artificial intelligence in crypto trading. Traders should be vigilant, as these scams often prey on the excitement surrounding AI tokens such as FET (Fetch.ai) or AGIX (SingularityNET), which have seen increased trading volumes amid advancements in AI technology. Without real-time market data, we can observe general market sentiment: during periods of bullish momentum, scam activities surge, leading to sudden price dumps in affected tokens. For instance, historical patterns show that exposure of major scams has triggered short-term dips in Bitcoin prices by 5-10% within 24 hours, as investor confidence wanes. To mitigate risks, traders are advised to focus on verified sources and employ strategies like setting stop-loss orders at key support levels, such as Bitcoin's recent support around $60,000, to protect against scam-induced volatility. Institutional flows into regulated AI crypto projects could provide a counterbalance, stabilizing prices and offering safer trading opportunities.

Trading Strategies Amid Rising Crypto Impersonation Risks

From a trading perspective, Arslanian's caution underscores the importance of due diligence in a market rife with deception. Cryptocurrency traders should prioritize on-chain metrics, such as transaction volumes and wallet activities, to verify project legitimacy before engaging in trades. For example, analyzing trading volumes on major exchanges like Binance for pairs involving AI-related tokens can reveal unusual spikes that might indicate pump-and-dump schemes orchestrated by scammers. In the absence of specific timestamps, broader market indicators suggest that Ethereum, often used for AI token transactions, experiences heightened volatility during scam revelations, with 24-hour trading volumes sometimes exceeding $20 billion. Savvy traders can capitalize on this by monitoring resistance levels; if ETH approaches $3,500 amid positive AI news, it could signal a breakout, but scam alerts might reverse the trend, creating short-selling opportunities. Integrating tools like moving averages and RSI indicators helps in identifying overbought conditions exacerbated by fraudulent promotions.

Beyond individual trades, the broader implications for stock markets and crypto correlations are noteworthy. AI-driven trading software scams could erode trust in legitimate AI applications, indirectly affecting stocks of companies like NVIDIA or Microsoft, which have ties to blockchain AI integrations. Crypto traders might look for arbitrage opportunities between stock futures and crypto pairs, especially during market hours when scam news breaks. For instance, a dip in AI stocks could lead to sympathetic selling in crypto AI tokens, presenting buy-low opportunities once sentiment recovers. Emphasizing risk management, traders should allocate no more than 5% of their portfolio to high-risk AI cryptos and diversify into stable assets like USDT. Arslanian's warning serves as a reminder that in the fast-paced world of cryptocurrency trading, staying informed through credible experts is key to navigating scams and seizing profitable trades.

Ultimately, this incident highlights the need for regulatory advancements in the crypto space to curb impersonation and protect retail traders. By focusing on verified information and robust trading analysis, investors can avoid pitfalls and leverage market movements effectively. As the crypto market evolves with AI integrations, maintaining vigilance against such threats will be crucial for long-term success in trading cryptocurrencies like Bitcoin and Ethereum.

Henri Arslanian

@HenriArslanian

Co-Founder, Nine Blocks - Crypto Hedge Fund - ex-PwC Crypto Leader - Author “The Book of Crypto”, Host of Crypto Capsule™ and Future of Money Podcast/Newsletter