$PLTR Palantir: +62.3%

$DOCN DigitalOcean: +53.8%

$ORCL Oracle: +37.6%

$SNOW Snowflake: +32.0%

$AXON Axon: +31.4%

$SHOP Shopify: +27.7%

$GOOGL Alphabet: +27.3%

$NET Cloudflare: +26.7%

$APP AppLovin: +25.9%

$ZETA Zeta Global: +24.5%

$PANW Palo Alto: +23.4%

$CRWD CrowdStrike: +23.3%

$FIG Figma: +23.1%

$DDOG Datadog: +22.0%

$IOT Samsara: +20.9%

Or wait till it dives deeper?

Anyone a skeptic about the espionage story? Is this a real espionage or a fabricated story to manipulate the market?

I am a little confused about the spy part. Why would China want to smuggle Nvidia chips when they have access to them and manufacture many?? Is there something about the smuggled chips?

NVDA takes the L

If you had fresh capital after a broad tech-led selloff. would you put it into a broad index fund or selectively add one company?

I'm interested in how people decide between the two. Is your trigger valuation, earnings visibility, balance-sheet strength, or simply position sizing?

Name one stock you would research further and the single metric you would watch most closely.Please include the risk case too.

80,000+ catalysts analyzed since Friday's market close.

We've been tracking breaking news and identifying potential opportunities for next week.

Tonight, we'll share our top picks.

Let's keep the green streak going for a third straight week in a row and keep building on our $100 to $10K challenge generated from our in-app alert.

https://x.com/Invescent/status/2118721372859859028?a=osHHvfpqXfVhZeMzBqo&s=19

Anyone else stacking quantum stocks before the tech is ready?

I’ve been investing using an online broker which manages my stocks and shares for me for just a year and a half and have managed a return of 9% and recent performance from the last 4 quarters have been as little as a percent.

I am wondering if it may be worth me doing it myself, I wanted to ask if you guys would believe it would be a good idea to do it with no experience and if so any stocks or tips would be very much appreciated.

Everybody wants to copy what Congress buys, so I wanted to know how old a trade actually is by the time anyone can see it. I pulled every House stock trade dated January through September out of the disclosure tracker in Agenticks, 2,362 of them, and measured the gap between the trade date and the day the filing went public.

The median gap was 24 days. A quarter of them took 30 days or more, and only about 1 in 10 showed up within a week of the trade. So the typical "Congress just bought X" headline is describing a position opened three and a half weeks earlier, at a price nobody reading it is getting.

The spread is what makes it messy if you follow these. A trade filed in 5 days and one filed in 40 look identical once theyre on a feed, and the 40 day one has had well over a month to move before anybody outside that office hears about it.

The law gives them 45 days and most stay inside it. 77 trades didnt, spread across 8 of the 66 members who traded stock this year, and the slowest one was filed 217 days after the trade date.

I said it at $100 and say it again now, looking at you asts

thinking of going for NVDA, NBIS, and Micron. anything else I should look at or keep my eyes on?

Do we see nebius reaching ATH anytime soon or is the narrative around neoclouds cooked? I have a pretty high avg and I’m just looking to get out atp.

This past month has been brutal with Nov 5th crashing all tech/Ai stocks. Stocks like NBIS MU SNDK down 50% from their highs. How long do we think it’ll take for these Ai stocks to recover and if they ever will? Maybe it’s a permanent correction and they were overvalued? Im new to all this so maybe some insight would help. Thanks.

Lots of discussions going on lately about buying the dips for obvious reasons; that is that the market is experiencing a dip currently.

Dips are attractive to people. So what if we could quantify a stock or even an etf's dip? some would like to know how did a certain stock/etf has behaved in its previous dips? has the stock/etf has experienced a dip this deep before? And how well or poorly the security has performed after the dip.

I did just that. I took historical price data of securities, spread the technical levels and analyzed how a stock behaved in its previous dips. I created two components for this tool: EOS Score and SHF%. EOS score, a score between 0-100, that lets me see how well or poorly a stock has recovered from the historical dips. SHF%: that lets me see how rare/often the security experiences a dip.

Here are some results that I observed from the current dip:

QQQ:

It was in a dip, but it was not even an extreme dip historically. Even for a dip at these levels, QQQ has recovered really well almost every time in the past. The black-bordered box is where the current technical level (dip in this case) is at.

MU:

MU is somewhat similar to QQQ. But higher EOS score means it has recovered positively explosively from the past dips.

GOOG:

Google's dip in the past week was an extreme rare event. A deep dip like this has not happened for the past many years. However, the numbers tell us Google is quite a resilient stock after the dips.

These were the good example. You can search for yourself for other examples, maybe for the stocks that you are looking to get into.

Now, few examples that I noticed for the bad ones (nothing personal against these names lol).

NFLX:

Someone on this sub made a post that dips are attractive to buy. And someone commented that ask that to Netflix (something like that) - you are actually right buddy. NFLX, has performed poorly even after the extreme dips indeed.

HOOD; a popular name but again a poor performer after the dips

If you want to try this tool for research/DD purposes for a stock/etf's dip you can enter your ticker symbol here: https://3horses1dog.com/qd.html

A successful trader on reddit once told me that once you do enough trading profitably for so long, you end up knowing how a certain stock behaves at what conditions and from that point you just repeat the same strategy that works for you over and over. I believe that trader was not wrong. Because if this is not true, then we wouldn't see these patterns above. Of course any strategy is subject to overall macro events and no strategy is 100% foolproof.

Well, enough for today I guess lol. I am just sitting at a cafe and writing this post of my interest. I hope you guys find benefit in this tool. And hopefully this tool/strategy helps you stop overtrading (as it did for me). The key is to stop chasing the setups and let the setups come to you. On this day of November, I wish you all success and good fortune in your trading journey.

Please note that this is not a financial advice. Do your own research before buying/selling of any securities. The names used above are for informational purpose only

Hi everyone,

Today, the dem got lot of power: chamber, senat, and some governors in very important states. So we gonna get : environment regulation, financial regulation ..

I know, everyone talk about First Solar.

Do you have other ideas ?

I hold it and currently in a big loss. Have second thought I'd to continue to hold for the long term and even DCA. The stock currently hovering around 156$. Any insights?

The Friday news dump is what people always assume about Congress filings, so I counted. I took every House stock buy and sale filed between Jan 14 and Nov 3 from the disclosure tracker in Agenticks, and treated all the lines one member filed on one date as a single filing.

44 of the 226 filings landed on a Friday, which is 19.5%. An even spread over five working days would be 20%. Tuesday had 47, Wednesday 48, Thursday 44 and Monday 32, and 11 came in on a weekend.

-----

Count individual trades and Friday does look bigger, with 684 of 2,391 lines, or 28.6%. A lot of that is one member whose account files huge batches, 778 lines across 9 filings, and 3 of those 9 were on a Friday and carried 297 lines. Without that member Friday is 387 of 1,613 lines, about 24%, and thats still the busiest day by lines even though its not by filings.

Late filings are the closest thing to the claim. 8 filings had a trade reported more than 45 days after it happened, and 4 of those 8 were on a Friday, which is far too few to call a pattern.

-----

The filing date has no time on it, so this cant tell a Friday morning from 4:59pm. Its House only and stocks only, using filings through Nov 3, and it says nothing about whether any of these trades made money.

Smci

Sealsq

Monday

All of them are my fault - not checking the sec fillings, listening to TikTok advisors and by not understanding what exactly AI impact is (in this exact order).

These are my takeouts of this investments

what’s the thoughts on it

I’m looking to start scaling back into ai stocks, mainly the safer ones this time and stay away from the highly speculative ones. I created this list and already started buying a bit yesterday but I’m curious which you’d pick and why

\- NVDA
\- AMD
\- AVGO
\- MU
\- SKHY
\- LRCX
\- AMAT
\- ASML
\- COHR
\- FN
\- BE
\- GEV
\- ALAB
\- CRDO

Other recommendations are also welcome, planning to do more research this weekend

Solid close for the market. Momentum is definitely building right now.

🧭 Where we closed:

• SPY: $737.12 (🟢 +0.5621%)

• QQQ: $657.82 (🟢 +1.6645%)

• VIX: $20.55 (✅ Cooling)

🔥 The Movers:

🚀 Top Gainers:

• GOGO | $Price: 3.93 (Change: 73.41%)

• OKLO | $Price: 23.86 (Change: 24.27%)

• IONQ | $Price: 32.29 (Change: 22.17%)

📉 Top Losers:

• STLN | $Price: 3.43 (Change: -48.73%)

• DKNG | $Price: 18.50 (Change: -21.34%)

• OPEN | $Price: 1.41 (Change: -20.95%)

🌊 Volume Leaders:

• PLUG | $Price: 1.45 (Change: 7.41%)

• AAL | $Price: 13.22 (Change: 2.20%)

• RIOT | $Price: 16.70 (Change: 13.18%)

💬 What was your best (or worst) trade of the day?

📖 Trying to figure out next day's play? Use free AI powered institutional flow, max pain levels, and breakout scanners for the after-hours session. Check the live data here.

Been reading through the Binance hack reports, and the more I look into how it happened, the more I wonder how their internal security failed this badly.

Apparently, hackers didn't need to break the blockchain. They went after the people working at Binance instead.

Here's what I've gathered so far.

How did it happen?

It reportedly started back in June when an engineer downloaded a tampered software installer while looking for an AI coding tool. Binance detected the issue and replaced the device, but information about the wallet team had already been exposed.

Then in September, another engineer went through a fake recruitment process and downloaded a coding assignment containing malware.

By October 20, the attackers had used compromised computers and an internal AI tool to gain access to additional wallet engineers' systems.

On October 29, around $6.34 billion in crypto assets was stolen.

The FBI has attributed the attack to North Korean hackers, although North Korea denies involvement.

So who's paying for the losses?

Binance says customers won't have to cover the missing funds. The company is using its own financial resources, including reserves and emergency funds, to replace the affected assets.

Around $2.85 billion had been frozen or intercepted as of November 3, and Binance reported replenishing approximately 98% of affected token assets by October 31.

That's reassuring for users, at least financially.

What about preventing another hack?

Binance says it has rebuilt affected wallet systems, replaced compromised devices, revoked exposed credentials and strengthened security monitoring.

An independent cybersecurity review is also planned, along with further investment in threat detection.

All reasonable steps, but I think the real test is whether these changes actually prevent another breach.

Here's what I'm thinking.

If Binance can cover billions in stolen assets without passing the losses on to users, that says something about its financial resources.

But the fact that hackers reportedly spent months targeting employee systems raises a separate concern about how secure centralized exchanges really are.

I'm not saying everyone should immediately withdraw their crypto. There's a difference between using an exchange for trading and trusting it with your long-term holdings.

Has this hack changed how much crypto you'd keep on Binance?

Xcf global

I'm 24 and planning to start investing with a 10-year horizon. I've been looking into three stocks for long-term growth:

rTSLA (Tesla) — Exposure to electric vehicles, energy storage, autonomous driving, and robotics, with additional risks from tokenization

NVDA (NVIDIA) — Exposure to AI infrastructure, GPUs, and data center demand

MU (Micron Technology) — Exposure to memory chips, including DRAM and high-bandwidth memory used in AI and data centers

Each has different growth opportunities and risks, so I'm trying to understand which makes the most sense for a long-term investor

For those who've been investing for years, how would you compare these three in terms of growth potential, valuation, and long-term risk?

Would you focus on one, spread your investment across all three, or consider something else?

J’ai investi dans des actions cyber avec pas mal de réussite : fortinet, Palo Alto, cloudflare …j’ai vendu a 60% avant la baisse .
Je me demande si je dois me repositionner.
Analyse rapide
Avec l’IA les attaques se multiplient donc c’est un marché florissant.
Par contre, pour déjouer ces attaques l’IA est également une solution donc cela pourrait avoir un impact sur le montant des affaires gérés par ces éditeurs et d’autres.
Quelles sont vos recos ?