Micron helped shift AI sentiment.. now these leaders are starting to turn up. ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  

Morning Watchlist

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Dear Fellow Investor,

These Oversold Tech Giants are Rebounding Heading into 2026

Heading into 2026, a familiar setup is taking shape: several mega-cap tech leaders that had become meaningfully oversold are beginning to stabilize and in some cases, rebound. After a year defined by powerful AI-driven narratives, periodic valuation resets, and abrupt sentiment swings, investors are again rotating toward companies with durable cash flows, strategic AI positioning, and identifiable technical “inflection” levels.

A quick note on “oversold”: it’s not a guarantee of a rebound. Oversold readings (often measured by indicators like RSI, MACD, and Williams’ %R) simply suggest that selling pressure may have become stretched relative to recent price action. That can set the stage for a bounce, especially when a credible catalyst arrives, but it does not eliminate fundamental risk, macro risk, or the possibility of another leg down.

What makes this particular moment notable is that several catalysts are converging at once:

  • A renewed burst of optimism around AI infrastructure demand after Micron’s results and outlook helped stabilize sentiment across the chip and AI complex.

  • Large-cap earnings power and balance-sheet strength drawing capital back toward “quality” leadership.

  • Multiple high-profile strategic developments across cloud, AI compute, and enterprise software that reinforce long-term positioning.

Below are three names that stand out as “oversold leaders” that appear to be regaining momentum as we move into 2026, along with what we’re watching next from both a catalyst and technical perspective.


Company: Nvidia (SYM: NVDA)

Nvidia remains one of the market’s most important bellwethers for AI infrastructure spending. After a sharp pullback, the stock began to carve out what looks like a durable base, testing support multiple times since September and recently starting to pivot higher.

What’s helping sentiment now is less about a single headline and more about the broader message coming from the AI supply chain: demand has not disappeared. If anything, pockets of the ecosystem are signaling continued strength, and that can pull investors back toward the leaders.

Nvidia is also benefiting from a supportive sell-side backdrop. Barclays, for example, has reiterated a constructive stance in recent months, emphasizing Nvidia’s long-term growth runway in data-center AI, with additional “edge” opportunities (think automotive and robotics) reinforcing the strategic story. That matters because, in a risk-on tape, large institutions tend to crowd into the clearest category leaders.

Technical perspective:

  • With NVDA recently trading around $174, the next major “tell” is whether it can build follow-through and retest the psychologically important $200 level.

  • A clean push through resistance zones, accompanied by improving breadth and volume, would strengthen the case that the September base is holding.

Risks to keep in mind:

  • NVIDIA remains sensitive to shifts in AI capex expectations, China/export headlines, and competitive narratives (custom silicon, AMD acceleration, etc.).

  • Even in bullish regimes, NVDA can be volatile. Position sizing and discipline matter.


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Company: Oracle (SYM: ORCL)

Oracle is another name showing signs of regaining momentum after getting punished in a swift downdraft. The selloff created a classic “oversold + catalyst” setup: weak hands exit, technicals become stretched, and then a credible headline arrives to change the short-term narrative.

One of the biggest near-term drivers has been the TikTok situation. Reuters and other outlets reported that ByteDance signed agreements to transfer control of TikTok’s U.S. operations to a new joint venture involving investors such as Oracle and Silver Lake, with Oracle positioned as a trusted security partner for U.S. user data and related safeguards. For Oracle, the market read-through is straightforward: this reinforces Oracle’s strategic role in major, security-sensitive data infrastructure.

Oracle is also a direct beneficiary of improving sentiment around AI infrastructure demand more broadly. Even if investors debate the timing of revenue conversion and the burden of heavy capex, the long-term narrative remains centered on Oracle’s cloud and infrastructure ambitions and its ability to attach to large, multi-year AI workloads.

On the analyst front, multiple firms have maintained constructive ratings while adjusting targets. Recent commentary has included:

  • Wells Fargo initiating coverage with an Overweight rating and a $280 price target.

  • Bank of America maintaining a Buy rating with a $300 target.

  • UBS maintaining a Buy rating while setting a $325 target.

  • Barclays maintaining an Overweight stance, with recent reporting referencing a $330 target.

Technical perspective:

  • With ORCL recently trading near $180 after the selloff, oversold readings have been notable across multiple indicators.

  • From here, a common pattern is “gap refill” behavior, where price attempts to retrace into prior breakdown zones. A reasonable initial objective would be a move back toward the ~$220 area, followed by a longer-term recovery target toward prior major resistance levels (with $280 as a widely cited reference point).

Risks to keep in mind:

  • Oracle’s AI infrastructure spending and balance-sheet considerations remain a focal point for skeptics.

  • The stock can remain volatile if investors worry about capex timing versus revenue realization.


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Company: Amazon (SYM: AMZN)

Amazon is quietly setting up as a 2026 rebound candidate, particularly as attention returns to AWS capacity, AI compute strategy, and potential strategic partnerships.

The headline that caught investors’ attention: Reuters reported that Amazon is in talks to invest roughly $10 billion (or more) in OpenAI, potentially alongside an agreement involving Amazon’s AI chips. If that progresses, the strategic implications are significant. Beyond the capital itself, the “why” matters, Amazon wants greater leverage in the AI compute stack, including adoption of its Trainium/AI chip ecosystem, while OpenAI needs enormous infrastructure to fulfill its commitments.

Amazon also recently reinforced its long-term growth posture internationally. The company announced plans to invest more than $35 billion in India through 2030, focusing on business expansion and pillars such as AI-driven digitization and export growth. Amazon has stated an ambition to help increase cumulative exports from India to $80 billion by 2030 and deliver AI benefits to millions of small businesses, initiatives that can deepen its ecosystem and reinforce AWS relevance in a high-growth market.

Meanwhile, on the core AWS story, Oppenheimer raised its price target on AMZN from $290 to $305, citing AWS capacity expansion, specifically the view that AWS could double capacity through 2027. That kind of framework can become a catalyst narrative because it ties directly to future AI demand and cloud growth.

Technical perspective:

  • AMZN recently found support around $222. If that area continues to hold, the next step is a push through near-term resistance, including the 50-day moving average (recently around ~$229).

  • A reclaim of trend levels, coupled with improving broader market risk appetite, would strengthen the rebound case.

Risks to keep in mind:

  • Any cooling in cloud demand or a negative turn in AI spending expectations can pressure AWS narratives.

  • Strategic headlines (like potential OpenAI-related developments) can move shares quickly in either direction depending on terms and investor interpretation.

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Are there any other big name tech/AI stocks you're buying right now? What other sectors of the market are you currently interested in? Hit "reply" to this email and let us know your thoughts!

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