To The Moon

Hello everyone! Today i want to share some ai trading ideas with you! 1 $SoFi Technologies Inc.(SOFI)$ took 11 years to reach its first 4M members and added nearly another 4M in the past year alone. Thats why the top 10 bank thesis still feels early since SoFi holds less than 15% of the deposit base of today's number 10 U.S. bank while building a one-stop financial platform with 30%+ member growth. The kicker is LPB (Loan Platform Business) which is the asset-light layer where SoFi earns a ~4.6% take rate on third-party originations with zero balance-sheet usage and zero credit risk. That creates a high margin, fee based lending revenue stream running at ~$12B annualized origination pace while SoFi still trades around 15x 2028 earn

Impact of Core Fundamentals (News): $Gold - main 2608(GCmain)$$XAU/USD(XAUUSD.FOREX)$ Bullish Factors: Weak labor market data has reduced the opportunity cost of holding gold, while continued gold purchases by global central banks as part of their reserve diversification efforts provide long-term strategic support for gold prices. Weakening Short-Term Catalysts: Geopolitical tensions in the Middle East (such as shipping in the Strait of Hormuz and the Doha negotiations) have recently shown some marginal easing or a resumption of shipping, causing the geopolitical premium previously factored into prices to diminish somewhat. Intraday Focus: As market liquidity wa

Hello everyone! Today i want to share some trading ideas with you! 1 $Micron Technology(MU)$ Trade Idea: July 10 1100C Trigger: 1000 ✅ Targets: 1058, 1100 🎯 Stop: 956 🛑 MU dropped from 1255 to 950 since earnings. If MU gives up 928 it can drop to 900, 863 next. I’d wait to see if MU can reclaim 1000 before considering calls. MU above 1000 can move back to 1058-1086 again. It may take a few more weeks before we see an easier trade for the upside for MU. The best entry for those that missed the run from April to June would be near 651. 2 $Palantir Technologies Inc.(PLTR)$ Trade Idea: July 24 135C Trigger: 125 ✅ Targets: 135, 140 🎯 Stop: 120 🛑 PLTR continued to bounce higher thi

Hello everyone! Today i want to share some technical analysis with you! 1 $IONQ Inc.(IONQ)$ Volume shelf/gap setup on the daily candle chart. 2 $Broadcom(AVGO)$ About as close to the apex of the falling wedge it can get. 3 $Snowflake(SNOW)$Nice continued bull flag breakout this week. 4 $Tesla Motors(TSLA)$ Held up at the trend zone this week. 5 $Lululemon Athletica(LULU)$ Held up where it needed to last month.

Tesla's 7.5% drop suggests the market had already priced in a delivery beat. Investors now care more about whether vehicle demand, margins and the AI and robotaxi strategy can justify Tesla's premium valuation than about one quarter's deliveries. Aggressive capex is a double-edged sword. If it accelerates autonomous driving, AI infrastructure and manufacturing efficiency, it could strengthen Tesla's long-term position. If returns are delayed while automotive margins remain under pressure, investors may stay cautious. For long-term investors, a gradual accumulation on weakness can be reasonable if they believe in Tesla's AI roadmap. For shorter-term traders, waiting for clearer evidence of improving margins or stronger forward guidance may offer a better risk-reward balance. Any future link

I landed on Google $Alphabet(GOOGL)$ ! I'm actually happy with this result because I believe Google is still one of the strongest long-term AI companies. While many investors focus on AI chatbots, I think Google has a much broader ecosystem across Search, Cloud, YouTube, Android, and Gemini that gives it multiple growth drivers. For the second half of the year, I'll be watching how Google continues to monetize AI across its products and whether Google Cloud can maintain its strong momentum. I also think its valuation remains more reasonable than some other AI names despite its solid fundamentals. I'm bullish on Google and would consider adding more shares during market pullbacks rather than chasing rallies. I believe it has a good chance to be

A one-day rotation alone would not make me abandon the AI theme. The weak payrolls report strengthens the case for lower rates over time, but it does not change the structural drivers behind AI infrastructure demand.  My preference would be a barbell approach: Keep core positions in high-quality AI leaders with durable earnings and pricing power. Gradually add exposure to value sectors such as industrials, healthcare and financials that can benefit from a broader market rotation. If this becomes a multi-week trend with sustained earnings downgrades for AI capex beneficiaries, I would trim weaker, highly valued hardware names first rather than exit the theme wholesale. Conversely, if AI demand and corporate spending remain robust through earnings season, the recent sell-off could prove

A 14% decline is painful, but by itself it does not invalidate the memory supercycle. Memory stocks are among the most cyclical and sentiment-driven names, so sharp corrections after strong rallies are common. The key questions are whether: HBM and enterprise SSD demand remain strong. Customer inventory stays healthy rather than building excessively. Pricing for DRAM and NAND remains firm over the next few quarters. If those fundamentals remain intact, this looks more like a valuation reset than the end of the cycle. If, however, hyperscalers begin cutting AI infrastructure spending or memory pricing weakens materially, then the thesis would deserve reassessment. Rather than trying to call the exact bottom, I would prefer averaging in gradually over several tranches. That captures potentia

$Meta Platforms, Inc.(META)$  Meta’s AI Reality Check: Is Under $600 a Golden Buying Chance? 📉🤖 Meta just took a 4.9% haircut, surrendering a chunk of its massive recent gains. The trigger? Mark Zuckerberg himself gave the market a dose of reality. He publicly stated that AI agent progress is "not moving as fast as expected," which instantly threw a wet blanket on the market's euphoric AI narrative. Almost overnight, yesterday's Magnificent 7 leader became today's prime target for profit-taking. But before we hit the panic button, let's look at the objective facts: The Broader Trend is Intact: Despite this sudden pullback, Meta still logged its absolute best weekly performance in two months. The Valuation Question: Dipping back under the $600

The Great Rotation is Here: Are You Defending or Buying the Tech Dip? 🔄📉 We just witnessed a massive divergence in the markets. As shown in Screenshot_20260703-183832.png, the shift is aggressive: the Nasdaq 100 took a 1.73% hit, while the Dow just rocketed up nearly 590 points to hit a brand new record high.   What triggered this violent rotation? The jobs data. June nonfarm payrolls came in at a measly 57,000 jobs—a sharp miss. That weak number flipped a switch for institutional capital.   Here is exactly what I am seeing on the board: The AI Exodus: Capital is aggressively rotating out of the big AI capex winners, with semiconductors, optical networking names, and heavyweights like Meta all facing heavy selling pressure. The Flight to Value: The money is pouring stra

Tesla Beats Deliveries, Crashes 7.5%: The Anatomy of a Classic "Sell the Fact" Trap 📉⚡ Tesla just delivered a textbook lesson in market psychology. As you can see in Screenshot_20260703-184344.png, the company dropped 7.5% in a single session—marking its worst single-day performance in 11 months. The kicker? This massive plunge happened right after Q2 deliveries significantly beat consensus estimates. If you are scratching your head wondering how a massive operational win translates into a brutal sell-off, you are looking at the wrong metrics. The market has officially changed the rules of the game for Tesla, and volume numbers alone don't cut it anymore. 🔄 The Moving Goalposts: Volume vs. Margins For the longest time, the Tesla narrative was simple: How many cars can they ship? But as a m

Fortinet (NASDAQ: FTNT) extended its upside move above our previous $140 target. Today, we analyze the current Elliott Wave structure. Our analysis focuses on this upside extension and the projected target for the current cycle. Fortinet is currently within the strongest leg of its impulsive cycle. The stock is extending higher in wave (3) of ((3)) of III. It broke above the $140 target area. The nesting structure from the lows continues unfolding as expected. This strong third wave ideally reaches the 1.618 Fibonacci extension at $184. The cycle usually pushes prices beyond that target. Consequently, we expect the stock to remain supported during wave IV pullbacks. Then, it will look for another extension in wave V. Fortinet’s incomplete bullish sequence suggests wave III will extend furt

The past two trading sessions have been painful for semiconductor investors. $闪迪(SNDK)$ $美光科技(MU)$ The Philadelphia Semiconductor Index has fallen more than 10% in just two days, with every single constituent ending in the red. Yet the broader market tells a completely different story. The S&P 500 has remained relatively stable, the Dow has pushed to fresh all-time highs, and the equal-weight S&P 500 has also continued making new highs. Same market. Two completely different stories. That tells us something important: this isn't broad market liquidation. It's sector rotation. Capital is moving into defensive sectors such as healthcare, consumer staples, and utilities. More than 350 stocks in the S&am

As SK hynix approaches its July 10 listing event, investors are increasingly asking the same question: Will additional shares entering the market create selling pressure across the memory sector? That concern is understandable. But I believe the market may be focusing on the wrong variable. The long-term direction of memory stocks has never been determined by a listing event alone. It has always been driven by the industry's earnings cycle. Over the past two years, artificial intelligence has fundamentally reshaped the memory market. HBM demand continues to outpace supply. DDR5 adoption is accelerating. Enterprise SSD demand continues to grow alongside AI infrastructure spending. Those structural trends remain far more important than a single capital markets event. Many investors instincti

The parallels between the 2008 financial crisis and the current artificial intelligence trajectory are becoming impossible to ignore. For the past few years, the tech sector has operated in an economic fantasy land, but the laws of gravity are reasserting themselves. We are witnessing the hallmark of every classic economic bubble: forced price discovery and a violent return to normal. The core issue? AI compute prices are completely collapsing. This collapse is hitting AI data center gross margins at the worst possible moment, threatening to trigger a domino effect across the entire tech ecosystem. The Myth of the Profitable AI Giant To understand why this price collapse is so lethal, we have to look at the underlying unit economics. Even at peak pricing, the industry's major players were

Replying to @OFFDAHOOK:Hi, thanks for reading my post and your questions.  Sorry for not being clear. IONQ, RGTI, QBTS are all companies providing quantum computer, the "hardware". HQ on the other hand is attempting to be the leading "software" for developers to build their apps on it and then deploy the executables (app) that will be hardware independent, meaning the app can be executed in the different types of hardware. The use of Microsoft Windows operating system is the example.  Windows OS can be run in Dell, Asus, Lenovo etc.. Hope this clarifies..//@OFFDAHOOK:So you mean HQ is at it’s developing beginning stage with more potential risks, like huge increasin