u/Same-Chemistry6118

Many people may still remember SPY, QQQ, YCL, VOO, and IVV.

Many people may still remember SPY, QQQ, YCL, VOO, and IVV.

SPY $QQQ Going back to $YCL ... Many may recall how SPY/VOO/IVV distributed from Nov 2024 to Feb 2025 before the sell commenced in March 2025, ultimately bottoming in early April 2025. This chart shows how YCL "fit" within that same structure despite the Yen not being the focal point of the conversation. The narrative was centered around tariffs, but the Yen still moved opposite US stocks during that same timeframe.

#2 and #3 (then #1, #2) printed in late January at that swing low and gained 20% over the next three months. US Indexes lost about 20% over that same timeframe.

US Stocks bottomed a couple weeks before YCL topped, and began distributing a couple months before YCL printed. But net/net, they told the same story.

u/Same-Chemistry6118 — 19 hours ago

5/18 Daily Market Summary

We could see this higher volume pullback accelerate if 7,338 is breached. I'm thinking sellers want a little breathing room before NVDA earnings on Wednesday. The bulls will try and spike it for sure no matter what the earnings say.

u/Same-Chemistry6118 — 1 day ago

Invest $60,000 into KMI and leave it untouched for 15 years.

I’m thinking about investing around $60,000 into KMI and just letting it ride naturally for the next 15 years without touching it much, while also adding around $100 every week.

Am I crazy for thinking this way? Or am I missing something?

It seems like the dividend DRIP compounding effect alone could potentially generate a pretty significant return over time, especially with long term reinvestment.

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u/Same-Chemistry6118 — 6 days ago

NVDA looks like it’s gearing up for another breakout

Bank of America has raised its price target for $NVDA from $300 to $320 while maintaining a Buy rating. The firm revised its 2030 AI data center systems total addressable market (TAM) outlook upward to $1.7 trillion from the previous $1.4 trillion. Analysts stated that 2026 will remain a year of accelerating AI sales and ROI, while 2027 is expected to see improved tokenomics and efficiency as new architecture compute and memory systems scale up.

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u/Same-Chemistry6118 — 7 days ago

What’s your outlook for NVDA this week in terms of price movement?

Hello everyone!

Given NVIDIA's (NVDA) strong performance over the past few weeks, I’d like to discuss the stock's potential price trajectory for the coming week. Recently, market demand for AI and data centers appears to have driven up NVDA's share price, sparking significant interest among many investors regarding its future direction.

Here are a few factors I’m keeping an eye on: overall market sentiment for tech stocks remains optimistic—particularly within the AI ​​sector—where NVIDIA seems to hold a leading position. Do you think this optimism is sustainable enough to continue driving NVDA upward?

Recent price action shows signs of a strong breakout. If NVDA can maintain its position above the $223 level, we could potentially see a continued upward trend in the short term. Have any of you conducted technical analysis, or do you have any insights regarding key support and resistance levels?

Is there any upcoming company news or earnings reports scheduled for this week that might impact NVIDIA's share price? If so, do you think this information is more likely to trigger a price correction or fuel further gains?

What are your thoughts on NVDA's price outlook for this week? Are there any specific factors you believe are worth watching? If you're interested, please share your views and predictions I look forward to the discussion!

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u/Same-Chemistry6118 — 8 days ago

Between MU and SNDK, which one do you think has more upside?

I’ve been following both MU (Micron) and SNDK (Western Digital, depending on structure / spin-off exposure) and trying to figure out which one actually has more long term upside.

Both look interesting in the memory / storage space, but the investment narratives feel a bit different:

  • MU: A more established industry leader, closely tied to DRAM/NAND cycles, with strong exposure to AI-driven memory demand.
  • SNDK: Feels more like a turnaround / restructuring story, with potentially higher leverage if NAND pricing and demand see a strong recovery.

On one hand, MU looks like the more “stable cycle leader,” with clearer and more direct AI tailwinds.
On the other hand, if we get a strong inflection in the memory cycle and sentiment flips, SNDK could arguably offer higher upside due to its more leveraged profile.

Curious how others see it:
👉 Which do you think has more upside from here?
👉 Are you leaning toward stability (MU) or higher risk / higher reward (SNDK)?

Would love to hear different takes on this

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u/Same-Chemistry6118 — 9 days ago

What’s the most undervalued 5-10x potential stock in your portfolio right now?

Hey everyone!

As an investor who loves hunting for opportunities, I’m always on the lookout for undervalued stocks, especially companies that could potentially 5–10x over the next few years. I’ve been doing some deep research recently and wanted to share my findings with you, as well as hear your thoughts and recommendations.

I’d love to get your feedback! What undervalued stocks are currently in your portfolio? What’s your take on them? Feel free to share any insights or ideas.

Thanks a lot, everyone! 🙏💸

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u/Same-Chemistry6118 — 13 days ago

The best investments start with better data. Going with your gut has its place, but when excitement masquerades as intuition, it can lead to costly mistakes—or analysis paralysis.

InvestingPro combines institutional-grade data with AI-powered insights that you don't need a finance PhD to understand. It won't guarantee winners, but it will certainly help you find more of them, more often.

So what are the best investments of 2026 so far?

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u/Same-Chemistry6118 — 19 days ago

Do you think Microsoft’s stock could drop after the company announced its 2026 calendar year capex is expected to hit $190 billion, well above the earlier $150 billion AI investment outlook?

Curious to hear everyone’s thoughts and perspectives. Hopefully we can all learn from each other and get better at investing.

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u/Same-Chemistry6118 — 20 days ago
▲ 1 r/stocks

I’ve been analyzing recent market trends and wanted to share a more structured view across key sectors, along with some open questions for discussion.

Macro backdrop
The current environment looks like a late-cycle setup: growth is moderating, inflation remains somewhat sticky, and interest rate expectations are still uncertain. Liquidity isn’t as supportive as in prior years, which makes positioning more selective and valuation-sensitive.

1. Technology: AI-driven strength, but valuation risk

The rebound in tech has been largely driven by continued momentum in AI and cloud infrastructure. Mega-cap names like Apple and Microsoft are benefiting from strong balance sheets, pricing power, and ecosystem lock-in.

However, multiples in parts of the sector are expanding faster than earnings revisions. The key question is whether current valuations already price in medium-term AI monetization.

Focus:
– Earnings quality vs. narrative-driven expansion
– Capex efficiency in AI investments
– Sustainability of margin expansion

2. Consumer sector: margin compression vs. resilience

Inflationary pressure continues to weigh on discretionary spending, particularly in lower- and middle-income segments. That said, premium brands and companies with strong pricing power are holding up relatively well.

The divergence within the sector is becoming more pronounced:
– Staples vs. discretionary split
– Premium vs. value positioning

Focus:
– Cost pass-through ability
– Demand elasticity under higher rates
– Inventory normalization trends

3. Energy: cyclical tailwinds + structural transition

Energy remains one of the more complex sectors right now. On the cyclical side, supply constraints and geopolitical risks could keep traditional energy supported. On the structural side, capital continues to flow into renewables and transition-related assets.

This creates a barbell dynamic:
– Traditional oil & gas (cash flow + dividends)
– Renewables / clean energy (growth + policy support)

Focus:
– Capital discipline vs. expansion
– Policy/regulatory catalysts
– Long-term demand assumptions

4. Portfolio strategy: selective risk-taking

In this environment, broad beta exposure seems less attractive compared to targeted positioning. My current framework:

– Maintain core exposure to high-quality large caps
– Be selective in growth (focus on earnings visibility)
– Keep some dry powder for volatility-driven opportunities
– Avoid chasing momentum at stretched valuations

Overall, this feels like a market where returns are increasingly driven by security selection rather than index-level expansion.

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u/Same-Chemistry6118 — 20 days ago