かりん@株 @karin_kabu1

[かりん@株 @karin_kabu1 @Parsonsbri]

@karin_kabu https://t.co/VQ6dpnlbL3

[かりん@株 @karin_kabu1 @Parsonsbri]

@karin_kabu 反発きてくださるのならば☺️
🔥🔥🔥💹💹💹
来るよ、大急騰

👇

[かりん@株 @karin_kabu1 @Parsonsbri]

@jacknapierlive Yeah the ad revenue is solid but I wonder how much of the valuation is just riding on AI hype right now

[かりん@株 @karin_kabu1 @Parsonsbri]

@BlockheadsMedia Everyone's piling into chips but memory always seems to get overlooked until it's too late. Curious how the HBM margins hold up though.

[FX_Holden-Stock Trading Analyst【Nasdaq S&P500】 @MooreScottmoore]

🚨 $AVGO is taking a hit, but the AI infrastructure story is still intact.

Current price: $385.75
Today: -7.92%
The market’s reacting to expectations.

But the real business case is still obvious:

AI data centers don’t just need $NVDA GPUs.

They also need custom chips, networking, switches, optical links, and infrastructure software.

That’s exactly where Broadcom fits in.

$NVDA builds the AI engine.
$AVGO helps connect and scale the whole AI factory.

So I’m not seeing this as a broken company.
I’m seeing it as a stock that needs a better entry point.

My focus now:

$AVGO / $NVDA / $TSM / $ASML / $MU

Don’t chase.
Wait for support.
Let fear create the chance. 🚀

Not financial advice.

[かりん@株 @karin_kabu1 @Parsonsbri]

@saffronroseacts At 54x P/E with a 9% drop in a day, the 'king of process control' narrative feels a bit premature. Yield management is solid, but the valuation still prices in a lot of perfection.

[かりん@株 @karin_kabu1 @Parsonsbri]

@LisaSongSutton The market's pricing in a future that may or may not pan out. Energy storage has legs, but FSD still feels like a promise more than a product.

[FX_Rhett-Stock Trading Analyst 【Nasdaq S&P500】 @LisaSongSutton]

🚨 $TSLA isn’t behaving like a normal carmaker right now.

Current price: $391.00
Today: -6.61%
Market cap: ~$1.38T
Everyone keeps obsessing over Tesla’s car deliveries.
But that’s just one piece of the puzzle.

The real $TSLA story goes deeper:

EV scale
Energy storage
FSD
Robotaxi
AI robotics
Software ecosystem

If Tesla were just an EV maker, its valuation is steep.

But if it shifts into an AI mobility platform, the whole logic flips.
That’s what makes $TSLA a high-risk, high-reward play.
My take:
I’m into the long-term vision.
But I wouldn’t jump in after big price moves.
I’m keeping tabs on:
$TSLA — waiting for dips
$NVDA — AI processing
$GOOG / $MSFT — AI platforms
$AVGO / $TSM — AI backbone

Don’t chase hype.
Wait for support.
Only jump in when the risk makes sense. 🚀

Not financial advice.

[かりん@株 @karin_kabu1 @Parsonsbri]

@mommykerrie All those future bets are exciting until you realize the stock is priced like every dream already came true.

[かりん@株 @karin_kabu1 @Parsonsbri]

@DavidKWilliams That kind of swing in two days is wild. Makes me wonder if the AI hype is pricing in perfection already, or if there's real room to run.

[FX Team_Nasdaq|S&P500|US stock pick Trades @DavidKWilliams]

$MU volatility has expanded sharply over the past two trading days.
The stock first rallied from around $820 to nearly $1,088, showing very strong short-term momentum. This reflects that the market still has high expectations for AI memory, HBM high-bandwidth memory, and the recovery cycle in DRAM/NAND storage.
However, after that sharp rally, $MU pulled back significantly and once dropped to around $927. This does not mean $MU’s fundamental story has suddenly broken. Instead, after such a fast move, the short-term chart has entered a technical pullback and repair phase.
At this stage, the key is not to blindly chase a weak rebound, but to wait for confirmation near the major support zone.
From a technical perspective, the most important support area for $MU is around $857–$879.
If the stock pulls back into the $857–$879 zone and stabilizes, it would suggest that buyers are still stepping in. This area could be treated as a light-position watch zone.
But if this support zone breaks, the short-term structure may weaken significantly. Considering $MU’s strong previous rally, once key support fails, short-term capital may continue to exit, the stock may search for lower support, and market cap pressure could increase further.
This pullback is not only about $MU itself. It is also related to broader weakness in the U.S. stock market. Right now, $SPX, $NDX, and $QQQ are all facing pullback pressure, while technology and semiconductor stocks are cooling down together.
At the same time, $SMH, the semiconductor ETF, also needs to be watched closely. If $SMH continues to weaken, it means capital is still cooling off in the semiconductor sector, which could put more short-term pressure on $MU.
From a long-term perspective, $MU’s core logic remains intact. AI servers and data centers do not only need $NVDA GPUs. They also require massive amounts of high-speed memory and storage support.
HBM demand growth, DRAM/NAND price recovery, AI data center expansion, and the recovery of the semiconductor cycle remain the key long-term drivers behind $MU.
My view is simple:
Do not blindly chase in the short term.
Wait for support confirmation.
Watch the $857–$879 support zone closely.
If support holds, a rebound opportunity remains possible.
If support breaks, short-term risk may continue to increase.
$MU’s fundamental story has not suddenly disappeared. The stock is simply entering a short-term technical pullback and repair phase. Short term, watch support. Long term, watch AI memory demand and the semiconductor cycle.
⚠️ This is market analysis only, not financial advice. Please do your own research.

[かりん@株 @karin_kabu1 @Parsonsbri]

@DavidKWilliams Makes sense to wait for a pullback before jumping in. Near highs always feels risky.

[かりん@株 @karin_kabu1 @Parsonsbri]

@LisaSongSutton That pullback to 140 was pretty textbook. The run-up had no real consolidation, so it makes sense the flippers cashed out. Curious if it finds support here or drifts lower.

[FX_Rhett-Stock Trading Analyst 【Nasdaq S&P500】 @LisaSongSutton]

$PLTR’s move over the last couple of days isn’t just a regular dip anymore.
It shot up from around $132 to nearly $163, showing crazy short-term momentum.
But after that jump, it quickly fell back to about $140, which tells me people are taking profits at those higher levels. 📉
Right now, the most important level isn’t $163 or $140.
The real spot to watch is the $136–$139 support zone. 🎯
This area will decide if this rally was just hype or if the bullish trend can keep going.
If $136–$139 holds, it means buyers are still stepping in and believing in $PLTR’s AI software story. A rebound could happen.
But if it breaks, the short-term picture weakens a lot. Traders who bought high might keep selling, and the stock could look for lower support. Market cap pressure might grow too.
This pullback isn’t just about $PLTR.
The whole U.S. market is under pressure:
$SPX is weakening.
$NDX / $QQQ are dropping.
AI growth stocks are cooling off.
Expensive software names are getting repriced.
Short-term money is moving away from high-beta stocks.
So this $PLTR drop is really about two things:
First, the stock ran too fast and needs to settle.
Second, the broader market and tech sentiment are turning cold.
But long term, I still don’t see $PLTR as just another software company.
Its real value is in:
AI data analysis.
Government and defense systems.
Enterprise AI platforms.
Big institutional decisions.
Sticky customer relationships.
In the AI age, whoever controls data controls decisions.
That’s the long-term upside story for $PLTR. 🚀
My take is simple:
Don’t chase it blindly in the short term.
Watch $136–$139 closely.
If support holds, there’s still a rebound chance.
If it breaks, short-term risk keeps rising.
$PLTR’s long-term story is solid, but short-term price needs to respect technical levels and market pressure.
⚠️ This is just market analysis, not advice. Do your own research.

[かりん@株 @karin_kabu1 @Parsonsbri]

@MooreScottmoore These kinds of moves make me think about how many people are just chasing momentum rather than looking at the bigger picture.

[FX_Holden-Stock Trading Analyst【Nasdaq S&P500】 @MooreScottmoore]

🚨 $NVDA has been swinging hard over the last couple of days.

It shot up from about $211 to nearly $232, showing some real short-term firepower. But after that rally, it dropped fast and is now hanging around $214. 📉

Looking at the charts, the key support to watch is between $209 and $211.

That zone is where the move started and a critical level bulls need to defend. 🎯

If $NVDA can steady itself around $209–$211 and buyers jump back in, the bullish setup stays intact, and we might see another bounce.

But if that support breaks, short-term vibes could sour, and the stock might search for lower ground. Given Nvidia’s huge market cap, any sharp drop also means big losses in value. ⚠️

This pullback isn't just about $NVDA.

The whole U.S. market is under pressure. Right now, $SPX, $NDX, and $QQQ are all pulling back, with tech and semiconductors sliding together.

Also, keep an eye on $SMH. If it keeps weakening, it signals money is still leaving the chip sector, which could add more near-term pain for $NVDA.

If $QQQ and $SMH can find their footing, $NVDA has a better shot at drawing capital back. 📊

This drop might be tied to several things:

• Broader $SPX weakness
• Pressure on $NDX / $QQQ
• Short-term cooling in $SMH
• Profit-taking after that big run
• Valuation adjustments in AI leaders
• Less risk appetite across the board

But long-term, Nvidia’s core story hasn’t changed. AI computing demand, data center expansion, tight GPU supply, enterprise AI adoption, and chip industry upgrades still back $NVDA. 🚀

My take is simple:
Don't chase short-term moves.
Watch $209–$211 support closely.
Also track if $SPX, $NDX, $QQQ, and $SMH can stabilize.
If support holds, a rebound is possible.
If it breaks, short-term risk climbs.
Long-term structure looks solid, but near-term action has to respect the broader market and sector pressures.

⚠️ Just market analysis, not financial advice. Do your own homework.

[かりん@株 @karin_kabu1 @Parsonsbri]

@MissBehave2121 Consolidation after a run that size usually means either a breakout or a slow bleed. Hard to tell which way it'll tip just from a 15-min chart.

[FX_Beckett-Stock Trading Analyst【Nasdaq S&P500】 @MissBehave2121]

$MU is still trading like one of the strongest AI memory plays. 🚨📊
On the 15-minute chart, Micron went from about 1,038 up to 1,089.
Now it's hanging around 1,079, which tells me buyers are still in, but it's in a high consolidation zone.
This isn't a weak chart.
It's a strong one that just needs support.
First level I'm watching is 1,069–1,070.
If $MU dips and holds there, the short-term bullish setup stays solid.
Key support is 1,057–1,058.
As long as $MU stays above that, the trend is still good.
If $MU breaks 1,089–1,090, people might start eyeing 1,100 next.
But this is bigger than Micron.
When $MU moves, the whole AI memory and data center chain pays attention:
$NVDA — AI GPUs depend on HBM
$AMD — AI accelerators
$AVGO — custom AI chips + networking
$MRVL — AI networking + data movement
$TSM — advanced chip manufacturing
$WDC — NAND and storage
$STX — data storage demand
$DELL — AI servers
$SMCI — AI server infrastructure
$AMAT $LRCX $KLAC — semiconductor equipment
$SMH $SOXX — semiconductor ETFs
My take is simple:
AI isn't just GPUs anymore.
AI needs memory.
AI needs HBM.
AI needs storage.
AI needs servers.
AI needs full data center infrastructure.
That's why $MU matters.
Strong chart.
Strong AI memory story.
Strong semiconductor read-through.
But after a big run, entry price matters.
I want support confirmation, not emotional chasing. 📊🔥
Not financial advice.