Written by: Serenity, X@aleabitoreddit

Compiled by: Gandalf, Techub News

Introduction

In the current environment of increased volatility in the US stock market, trading ideas surrounding "oversold rebounds" and "structural opportunities" are once again drawing attention. Whether it is the ongoing investment in the AI industry chain or the corrections of some quality assets due to short-term factors, new observation windows are being provided for swing traders and medium to short-term investors. This article organizes potential opportunities and logical frameworks based on a recent market observation list.

Summary

This article summarizes a series of currently viewed as "oversold" or possessing rebound potential US stocks and crypto assets, covering tech giants, AI infrastructure, semiconductor industry chain, and digital assets. It also emphasizes that the AI capital expenditure cycle will continue until around 2028, and suggests focusing on "bottleneck links" and "key supply chain" companies. In terms of specific strategies, risk management and yield enhancement can be achieved through a combination of swing trading, selling cash-secured put options (CSP), and other methods.

1. Observations on Oversold Rebound Targets From the perspective of short-term price and fundamental mismatches, some assets have entered noteworthy ranges:

• CRCL: Currently around $78, down from $132. The rising interest rate environment may actually benefit its business model.
• NFLX: About $71, down over 40% in the past year. Despite volatility in content cycles, the user growth trend continues.
• ETH / BTC (via tools like ETHA, IBIT): Ethereum is attractive in the $1500–1700 range, and Bitcoin also has allocation value at its current price level.
• ASTS: Approximately $75, has strong support historically around $70, suitable for swing trading strategies.
• META / MSFT: Although short-term performance is dragged down by AI capital expenditure, revenue and growth remain robust.
• UPWK: About $8, valuation is low, and the demand for freelance platforms remains resilient in the long term.
• RDDT: Currently around $170, considering an entry around $150 through CSP strategies.

2. AI Mainline and "Bottleneck Investments" AI infrastructure construction remains a medium-term mainline and is expected to continue until around 2028. The focus is on finding "bottleneck" and "choke point" companies within the industry chain:

• AAOI: Attractive at the $150 level, benefiting from demand for optical modules.
• JBL: Market capitalization of about $39 billion, deeply involved in the AI hardware supply chain as a manufacturing service provider.
• TSM: Market capitalization of about $1.9 trillion, if price increases materialize (for example, a 10% price rise leading to about a 2% profit margin improvement), profitability elasticity is worth monitoring.

Additionally, some companies (like AXTI) still require further research on their capital structure and liquidity changes.

3. Revalued Assets and Cautious Increase in Allocation Some early AI-related targets have already realized several-fold increases, such as:

• TSEM, VPG, COHR, LITE, AEHR, NBIS, etc.

Although these companies still have long-term potential, their valuations are no longer significantly undervalued, and caution is advised when chasing higher prices.

4. Position and Strategy Considerations

• Maintain positions in the South Korean market (EWY) and the storage chip direction, but do not increase further.
• For companies like INTC, MRVL, under the current backdrop of high valuations and implied volatility, it is more inclined to gain profits through selling CSP rather than directly establishing positions.

Conclusion

In the current market environment, "oversold rebounds" and "long-term mainlines" coexist. Investors can capture short-term correction opportunities through swing trading while also making medium to long-term layouts around the core aspects of the AI industry chain. At the same time, combining options strategies to optimize risk and return structures will become an important means to improve capital efficiency.

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