#BTC再创新高
Today, the TGE project looks quite promising. Velvet_Capital received a $3.7 million investment from yzilabs on July 9, and then immediately launched the wallet TGE, unfortunately, it's an Indian project.
Velvet Capital has launched Velvet Unicorn AI. It's not just a simple chatbot or signal tool, but rather an 'AI-native' trading operating system embedded in the trading process.
First, in terms of information processing, VU AI integrates on-chain analysis, social sentiment, and token fundamental research. For traders, this means there’s no need to switch back and forth between dozens of browser tabs, trying to piece together a complete picture from Basescan, Twitter, and project documents. The AI systematically completes information aggregation and preliminary filtering, which greatly reduces the cognitive burden on traders, allowing them to focus their energy on higher-level judgments.
Second, in terms of analytical framework, VU AI combines LLM (large language models) with self-developed statistical models. Pure LLMs excel at understanding and generating natural language but fall short in quantitative predictions. By introducing specialized statistical price models, a more rigorous mathematical foundation can theoretically be provided for technical analysis (TA). When users ask, 'How is this token?', they receive a structured analysis containing indicators like trend lines, RSI, and trading volume, instead of a vague 'Looks good'.
The most critical point is its closed-loop design of 'analysis equals execution'. VU AI seamlessly integrates the analysis interface and multi-chain trading terminal, not only enhancing efficiency but, more importantly, maintaining the coherence of decision-making, avoiding deviations from the original trading strategy due to hesitation or interference from other information during operations.
Of course, from a more critical research perspective, such tools also raise new questions. For example, will excessive reliance on AI create a new 'black box effect'? When most people are using similar AI models for analysis, will it amplify certain strategies, leading to rapid consensus formation and collapse in the market, thereby increasing volatility? That 72.5% prediction accuracy data, while it looks good, users must be clear that it does not represent 100% certainty; independent judgment and risk management remain indispensable.