#Copy Trading Diary
Practical Tips for Avoiding Pitfalls in Copy Trading
1 Start with a small amount of capital: Test with a small amount first, and increase your investment after becoming familiar with it
2 Diversify your copy trading: Do not allocate all your funds to copy one person
3 Review regularly: Check the results of your copy trading and adjust or stop in time
4 Keep learning: Understand the trading logic and do not rely entirely on others5 Use Smart Mode: Beginners are advised to use Smart Mode and fully follow the lead trader's portfolio strategy
Risk Warning
Copy traders incur losses simultaneously when the lead trader loses money
Copy trading for contracts carries a liquidation risk under high leverage
Lead trader recommendations are based only on historical data and do not constitute investment advice
If you want to start copy trading, it is recommended that you first check the lead traders' detailed data and historical performance on the Gate platform and choose a trading strategy that suits your risk preference.

#股票交易分享挑战 U.S.-listed memory stocks surge: SK hynix jumps 9%
On August 12 local time, the three major U.S. stock indexes closed mixed, while AI-related stocks surged across the board and became the focus of the market. The Dow fell 0.04% to 53,770.27, the S&P 500 rose 0.26% to 7,748.50, and the Nasdaq rose 0.54% to 26,588.49. The indexes were uneventful, but individual stocks presented a very different picture.
Memory chip stocks were the brightest stars of the day. SK hynix surged more than 9%, SanDisk rose more than 5%, Western Digital gained more than 3%, Seagate rose more than 7%, and Micron Technology climbed more than 4%. Semiconductor equipment stocks also strengthened across the board, with Applied Materials up more than 4%, Lam Research up more than 4%, and KLA up more than 3%. Optical communications and new-cloud sectors surged together, reigniting capital flows across the entire AI computing power industry chain.
The catalyst for this round of gains in memory stocks is the steadily heating demand for AI computing power. Goldman Sachs recently released a report clearly stating that memory price increases will continue through mid-2027, although the pace of increases is slowing. This assessment reassured the market: the explosive growth of AI servers is pulling memory chips out of their fate of “cyclical oversupply” and pushing them into a new cycle of “supply falling short of demand.”
The logic chain behind this is clear: AI training and inference require massive amounts of high-bandwidth memory (HBM), while HBM capacity is firmly controlled by the three giants SK hynix, Samsung, and Micron. On the demand side, GPU makers such as NVIDIA are placing orders at a frantic pace, while on the supply side, capacity is constrained by advanced packaging, making the supply-demand gap difficult to close in the short term. Rising memory prices directly translate into profit upside for these manufacturers.
For A-share investors, this round of gains in U.S. memory stocks has a direct read-through effect. A-share memory stocks, such as GigaDevice, Longsys, and Montage Technology, as well as memory modules and packaging and testing, have historically been highly sensitive to overseas memory price increases. However, it is important to note that A-share memory stocks do not always move in sync—the technological gap in domestic memory and the position in the inventory cycle will both affect the strength and pace of any catch-up gains.
A more important question is: how far can this AI memory upcycle go? Goldman Sachs says price increases will continue through mid-2027, but this is based on the premise that AI capital expenditures do not cool. If any signs of a slowdown emerge in major technology companies’ AI investments, memory stocks’ valuations will bear the brunt. The current frenzy in U.S. memory stocks is essentially a collective bet on the prospects for AI computing power. $NVDA