According to @PANewsCN, the Alpha Arena perpetual futures contest by nof1 put six leading AI models into a live $10,000 account challenge for 10 days, fully offline and trading solely via technical indicators. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 DeepSeek led with a 130% return to a $23,000 balance on just 17 trades, averaging 49 hours per position, a 41% win rate, and a 6.7:1 profit-loss ratio, driven by low-frequency trend following and 3-minute data reviews. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 Qwen3 posted a 100% return with per-trade leverage up to 5.6x and a maximum single loss exceeding $2,200, reflecting aggressive positioning with weak drawdown tolerance. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 Claude ran long-only with a 38% win rate and 25% return, a 2.1 risk-reward ratio, and sub-1 profit expectancy, indicating disciplined but inflexible execution. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 Grok4 briefly led with over 50% gains but reverted to breakeven after frequent flip-flopping and a 20% win rate, underscoring directional inconsistency. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 Gemini executed 165 trades in 10 days, incurred over $1,000 in fees, held a 25% win rate, and earned under $100 per trade on average, exemplifying fee drag and overtrading. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 GPT-5 recorded a 20% win rate with sub-1 risk-reward and chronically late entries, producing outcomes similar to Gemini. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682 Key trading takeaways highlighted by @PANewsCN: top performers were low frequency, longer hold, high risk-reward with timely entries, while losers were high frequency, short-term, low risk-reward with late entries; equal information access did not determine profitability; longer reasoning chains correlated with stricter decision-making, with DeepSeek the longest; copying AI trades may not persist across regimes, though AI execution is valuable. Source: PANews on X, Oct 28, 2025 https://twitter.com/PANewsCN/status/1983127032595898682

According to @business, DeepSeek is pushing into Africa, offering cheaper AI technology to entrepreneurs and startups, source: Bloomberg. The report frames the push as making AI more accessible to millions across the region, highlighting a pricing-led expansion strategy, source: Bloomberg. For trading context, market participants in AI and crypto-AI verticals can track the geographic rollout and the low-cost positioning highlighted in the report for signals on competitive dynamics, source: Bloomberg.

According to the source, a public X post on Oct 21, 2025 reports that an AI crypto trading competition showed DeepSeek at $3,650 in unrealized profits and Grok at about $3,000, outperforming ChatGPT and Gemini in the event’s standings. Source: public X post on Oct 21, 2025. The post does not disclose methodology, trade logs, timeframe, realized PnL, or risk metrics, meaning the performance claims cannot be independently verified or audited by traders at this time. Source: public X post on Oct 21, 2025. For trading decisions, treat these figures as unaudited results and avoid extrapolating strategy edge until transparent transaction records or third-party verification are provided. Source: public X post on Oct 21, 2025.

According to @peterhch, TryCoinPilot has launched live AI model copy-trading, enabling users to follow six large language models in three steps after spotting strong interest across English crypto Twitter last weekend (source: @peterhch on X, Oct 20, 2025). According to @peterhch, the platform positions itself as the first to offer LLM live copy-trading and has seen a wave of new user registrations since launch (source: @peterhch on X, Oct 20, 2025). According to @peterhch, users who followed DeepSeek and Grok strategies have on average achieved profits so far (source: @peterhch on X, Oct 20, 2025). According to @peterhch, TryCoinPilot is prioritizing added AI features to help users surface follow-trade signals, market opportunities, and optimal entry points (source: @peterhch on X, Oct 20, 2025).

According to DeepLearning.AI, Hangzhou is building itself into an AI hub by providing company subsidies and tax breaks, leveraging Zhejiang University for talent, and enabling access to Alibaba Cloud and ample GPUs, outlining concrete policy and compute inputs relevant to evaluating China-based AI capacity. Source: DeepLearning.AI on X, Sep 8, 2025. According to DeepLearning.AI, the city’s leading cohort includes five AI firms—DeepSeek, BrainCo, Deep Robotics, ManyCore, Unitree Robotics—plus game studio Game Science, providing identifiable ecosystem participants for tracking partnerships, hiring, and deployment activity. Source: DeepLearning.AI on X, Sep 8, 2025. According to DeepLearning.AI, the combination of fiscal incentives and GPU availability highlights operational conditions that can influence AI model training and deployment timelines within the Hangzhou cluster, a practical data point for traders assessing regional AI production readiness. Source: DeepLearning.AI on X, Sep 8, 2025. According to DeepLearning.AI, the update does not mention cryptocurrencies, blockchain, or digital assets, indicating no direct on-chain integration details in this announcement for crypto market positioning. Source: DeepLearning.AI on X, Sep 8, 2025.

According to @deepseek_ai, DeepSeek released an API update that sets deepseek-chat to non-thinking mode and deepseek-reasoner to thinking mode, a configuration relevant to agent design and latency-sensitive workflows; the announcement was posted on Aug 21, 2025, and is the stated source. According to @deepseek_ai, both model families now support a 128K context window, expanding long-context processing for tasks such as ingesting large data streams; the announcement was posted on Aug 21, 2025, and is the stated source. According to @deepseek_ai, the update adds Anthropic API format support, which enables developers who use Anthropic-style request schemas to interface with DeepSeek models; the announcement was posted on Aug 21, 2025, and is the stated source. According to @deepseek_ai, Strict Function Calling is supported in the Beta API, allowing structured tool invocation that is directly applicable to function-driven trading bots and execution agents; the announcement was posted on Aug 21, 2025, and is the stated source. According to @deepseek_ai, the post also notes more API resources and a smoother experience, signaling ongoing infrastructure improvements that builders can factor into integration plans; the announcement was posted on Aug 21, 2025, and is the stated source.

According to @nic__carter, DeepSeek "wasn't even that good" and "looks like it was a one hit wonder," providing a clear negative assessment of the model's quality and durability. Source: https://twitter.com/nic__carter/status/1958262852252320125 The specific phrase "one hit wonder" indicates an expectation that DeepSeek will not sustain performance or follow-on releases, marking bearish sentiment toward the DeepSeek AI narrative. Source: https://twitter.com/nic__carter/status/1958262852252320125 For trading context, this tweet records negative public sentiment around DeepSeek that market participants can log when tracking AI-related narratives within crypto. Source: https://twitter.com/nic__carter/status/1958262852252320125

According to @DeepSeek_AI, DeepSeek has disclosed the training methods behind its advanced mixture-of-experts AI models, DeepSeek-R1 and DeepSeek-V3, achieving significant cost savings by utilizing 2,048 Nvidia H800 GPUs and implementing memory-efficient techniques such as FP8 precision (source: DeepSeek_AI Twitter, June 2024). These breakthroughs in AI training efficiency could lower entry barriers for blockchain projects leveraging AI, potentially reducing development costs for decentralized AI protocols and increasing competition in AI-powered crypto tokens. The adoption of advanced GPU hardware and novel optimization methods may also influence demand for related crypto infrastructure and layer-1 blockchain projects.

According to The Kobeissi Letter, Nvidia's market capitalization has decreased by $730 billion since February 18th, following a drop below its previous low observed after the DeepSeek event on February 3rd. This highlights significant volatility in the market, underscoring the need for traders to remain cautious and vigilant about potential risks.

According to DeepSeek, the DeepSeek-V3/R1 Inference System has been optimized for improved throughput and latency, which could significantly impact trading algorithms relying on quick data processing. The system utilizes cross-node EP-powered batch scaling, computation-communication overlap, and load balancing techniques. This optimization is crucial for traders who depend on high-frequency trading algorithms that require rapid data processing and decision-making capabilities.

According to DeepSeek (@deepseek_ai), the Fire-Flyer File System (3FS) has achieved an impressive 6.6 TiB/s aggregate read throughput across a 180-node cluster, leveraging the full bandwidth potential of modern SSDs and RDMA networks. This performance enhancement could significantly impact trading systems that require rapid data access and processing. The system also achieves 3.66 TiB/min, providing high-speed data handling capabilities essential for real-time trading analytics and decision-making.

According to DeepSeek, the introduction of DualPipe and EPLB offers advanced solutions for V3/R1 training optimization. DualPipe is a bidirectional pipeline parallelism algorithm that improves computation-communication overlap, crucial for efficient training processes. Meanwhile, EPLB serves as an expert-parallel load balancer, ensuring optimal resource distribution during V3/R1 training. These tools are pivotal for traders looking to leverage high-performance computing in crypto market analysis (source: DeepSeek).

According to Balaji, China has achieved global leadership in manufacturing, and in the software sector, it closely competes with the US, specifically citing the competitiveness of platforms like TikTok and Deepseek. This gives China a significant advantage overall.

According to DeepSeek, DeepEP is the first open-source EP communication library designed for MoE (Mixture of Experts) model training and inference. The library features efficient and optimized all-to-all communication capabilities, and offers both intranode and internode support utilizing NVLink and RDMA technologies. This development could enhance model training performance, potentially influencing trading strategies relying on AI model predictions (DeepSeek, 2025).

According to Ai 姨 (@ai_9684xtpa), the fundraising for MyShell was oversubscribed by 117 times, significantly increasing the hype around the 'BSC Network + AI Consumer Layer' narrative. This marks a notable interest in AI-related projects on the blockchain, despite a cooling in on-chain AI Agent Memecoin enthusiasm. Meanwhile, CARV, another AI concept project, has chosen a different path by integrating with the recently popular deepseek, indicating varied strategies within the AI blockchain ecosystem.

According to Miles Deutscher, there is a renewed interest in DeepSeek, a platform that previously influenced cryptocurrency trading trends. Traders are revisiting its market data analysis tools, which were known for providing insights that affected trading volumes significantly. This resurgence may impact how traders strategize their market positions, emphasizing the importance of integrating DeepSeek's analytics in current trading strategies. Source: Miles Deutscher on Twitter.

According to DeepSeek, the NSA (Natively Trainable Sparse Attention) mechanism is designed to improve ultra-fast long-context training and inference capabilities through dynamic hierarchical sparse strategy, coarse-grained token compression, and fine-grained token selection, potentially enhancing trading algorithms by increasing processing efficiency and reducing computational load.

According to Crypto Rover, Tencent is preparing to launch its own AI model named 'Hunyuan Thinker' alongside DeepSeek. This move may have implications for Bitcoin markets, as large tech firm activities have historically influenced cryptocurrency prices. Traders should closely monitor market reactions and prepare for potential volatility. [source: Crypto Rover]

According to Cas Abbé, IO Intelligence has launched a new platform featuring over 25 powerful AI models, including Llama 2, DeepSeek, and Mistral, which is causing concern among major companies like Meta and Mistral. This expansion in AI accessibility may lead to increased competition and innovations in AI applications, potentially influencing market dynamics. (Source: Cas Abbé on Twitter)

According to @timnitGebru, there is a discussion regarding whether DeepSeek is genuinely committed to longtermism or using it as a buzzword in the context of AGI. This raises questions about their strategic positioning in the AGI market, which may impact investor perceptions and trading decisions.