Search result of QWEN

Qwen AI, spearheaded by Alibaba Cloud, comprises a series of models that go beyond language understanding to encompass multimodal reasoning, code generation, and autonomous media creation. With the ongoing expansion of the Qwen3 series, it is steadily establishing itself as one of the most technically sophisticated and adaptable intelligent engines within the global open-source AI ecosystem.

The report compares six leading AI models in a real-world crypto market trading contest. Each begins with $10,000 in initial capital, competing to achieve maximum returns in highly volatile market conditions. The article examines the strategic approaches and performance disparities among AI models such as Deepseek, GPT-5, and Gemini, highlighting both the potential and limitations of AI-driven trading in cryptocurrency trading.

Over the course of a ten-day AI trading model competition, six leading models—DeepSeek, Qwen3, Claude, Grok, Gemini, and GPT5—engaged in a head-to-head contest using identical sets of technical data inputs, yielding markedly different results. This article provides a comprehensive analysis of each model’s trading behavior, activity frequency, win rate, profit-to-loss ratio, and holding period. The results highlight that strategies emphasizing low trade frequency, trend following, strict stop-loss controls, and high profit-to-loss ratios tend to be more profitable. Conversely, approaches characterized by high-frequency trading, low profit-to-loss ratios, and loose stop-loss rules are more susceptible to losses. The article further posits that AI is transitioning from a “research tool” to an active “live trading agent,” with its decision-making frameworks offering valuable lessons for human traders.

Although we often hear about many AI Agents built on the Eliza open-source framework, there has been a lack of a detailed and serious explanation of how Eliza defines itself technically. This whitepaper provides a great answer, describing how Eliza enables the deep integration of AI with Web3, its modular system architecture design, and the technical implementation details of its open-source framework.

The integration of blockchain and artificial intelligence is giving rise to new applications and market dynamics. This article offers an in-depth analysis of four representative Crypto x AI frameworks—Eliza, GAME, Rig, and ZerePy—exploring their technical features, market performance, and use cases. Eliza provides a user-friendly Web3 platform; GAME centers on gaming and interactive experiences; Rig targets enterprise-level solutions; and ZerePy focuses on creative content generation and community engagement. Through comparative analysis, this article aims to help readers identify the most suitable framework to engage with in this wave of innovation.