与人工智能交易:CoPilots,而非顾问

币界网Publicado em 2024-08-08Última atualização em 2024-08-08

币界网报道:

现在已经是八月了,这意味着金融巨头太平洋峰会(FMPS)的最后倒计时现在正式开始。亚太地区最大的活动将于8月27日至29日在澳大利亚悉尼举行,吸引业内精英以及数千名与会者、交易员等。

未来的与会者可以期待向专家演讲者、思想领袖和顶尖教育工作者学习,这是为期两天的澳大利亚及其他地区零售贸易行业庆祝活动的一部分。这包括一个拥挤的议程,其中包含大量针对零售交易人群量身定制的内容。

你对FMPS即将推出的产品感到好奇吗?前往网站查看今天的完整议程,并在日历上标记最重要的会议。首届活动将在两个专门的内容阶段,即中心阶段和交流区,举办小组讨论、研讨会、会议等。一场值得关注的会议将是即将举行的研讨会,“与人工智能交易:CoPilots,而不是Advisors”。

作为一个快速提醒,现在在线预订FMPS座位还不算太晚。时间不多了,所以一定要跳过今年8月在悉尼现场的排队,今天就注册参加亚太地区今年最大的活动!

为什么人工智能是一种工具,而不是答案

潜在的参与者可以在整个活动中利用大量的内容、社交机会和娱乐。然而,最大的吸引力之一将是充足的交易时段和对零售交易空间的重视,所有这些都可以在今年8月的交易区看到。

即将举行的“与人工智能交易:CoPilots,Not Advisors”会议可能是深入了解人工智能在交易中的作用以及如何最好地利用这一工具进行所有策略的最佳机会。

本次内容丰富的会议将于8月28日12:30-12:50在交流区举行。研讨会将由Traderflow创始人Anthony Darvall主持。与会者在本次会议上可以期待什么?

好吧,人工智能已经接管了编码和简单的任务,如总结和创建图片,这并不奇怪。在金融领域,人工智能的潜力是巨大的,因为交易者处理的信息量可能是压倒性的。交易副驾驶将根据交易者的交易习惯学习/观察/提醒他们,并及时提供风险管理和基本面/技术可操作信息。加入Darvall先生的行列,他希望简化交易流程,帮助交易者最大限度地减少屏幕时间。

Darvall先生在外汇市场拥有17年的丰富经验,曾任EasyMarkets.com的首席市场分析师。2022年,他从经纪业务转型为创立人工智能初创公司Traderflow。Traderflow旨在创建AI交易复制品,简化交易者的工作流程,减少对多个屏幕的需求,并将信息传输整合到一台笔记本电脑上。

这是今年八月你日历上要循环的一个环节。悉尼见!

Leituras Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHá 3h

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHá 3h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHá 6h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHá 6h

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHá 9h

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHá 9h

Trading

Spot
Futuros
活动图片