Canada's wholesale inventory year-on-year in June

Recently, the Crypto Assets market has experienced fluctuations, with Bitcoin showing rebound signals around $116,000. Based on this prediction, I chose to establish some Positions in the AI-related zone yesterday, including Tokens such as ARC, GRIFFAIN, AI, and SWARMS. Among them, AI and ARC performed relatively well, rebounding about 10%. Although these are not the strongest rebound targets, the risk is relatively controllable due to their proximity to the bottom. In fact, the ideal trading strategy is often to build a position when the market pulls back to the bottom and then gradually reduce the position during the rebound process. Although this method may not yield the huge profits from a one-sided upward trend, it is safer, especially suitable for contract trading. Looking back at the rebound in early August, a South Korean trader established a large position in altcoin contracts after the market crash. The subsequent rebound caused his account value to soar by hundreds or even thousands of times. However, due to holding the position for too long, he ultimately suffered significant losses in this downturn. Every trader has their own type of market they excel in. Truly exceptional traders do not seek to capture all market opportunities, but instead focus on the market they understand best and feel most confident in, achieving profit growth through continuous compounding. In trading, controlling your emotions, accurately understanding market trends, and having strong execution ability are crucial factors. This is not only advice for many investors but also a self-motivation. Overall, in the context of the current Crypto Assets market correction, maintaining rationality and focusing on one's own strengths are essential to finding safe and profitable trading opportunities amidst the volatility.

Over the past week, the Crypto Assets market performed positively, with Bitcoin ETF continuing to see inflows, and the price reaching a high of $107,000. Ethereum ETF also experienced net inflows, but the price fluctuation was relatively small. Popular Tokens performed strongly, with the Meme coin and AI agent zones attracting attention, while multiple projects are set to unlock Tokens. Investment should be cautious, and market risks should be noted.

This week, the crypto market has warmed up, with the sentiment index rising to 35%. DeFi and AI-related tokens have performed outstandingly, especially with DeFAI's market capitalization soaring. The market is optimistic about the upcoming US CPI data and Trump's relaxation of regulations. Future market expectations indicate increased fluctuations, and it is recommended to follow projects with practical application scenarios to manage risks.

DeFAI is a new concept of Decentralized Finance driven by AI, which aims to reduce the complexity of DeFi operations through natural language commands and automated strategies, designed to attract more users to participate. Its core value lies in simplifying operations, automating trade execution, and integrating data analysis, and it is expected to lead a new wave of Decentralized Finance enthusiasm.

AI Agent and DeSci: Overview of Popular Tokens in Emerging Fields Preface In the past six months, there has been a burgeoning trend of AI Agents and DeSci in the market. From a narrative perspective, AI Agents emphasize their immense potential in autonomous decision-making, data analysis, and task execution, adept at solving problems through algorithms; DeSci, on the other hand, is dedicated to breaking down traditional barriers in scientific research by leveraging blockchain technology to achieve data sharing and transparency, promoting decentralized knowledge sharing and research funding. This article will summarize the currently prominent and potentially significant AI Agent and DeSci related Tokens. 1. The Wave of Intelligence of AI Agents 1.1 Overview of AI Agent AI Agent is an intelligent system with autonomy and goal orientation, capable of perceiving the environment, planning actions, executing tasks, and learning from experience.