To The Moon

$Jardine C&C(C07.SI)$   move up bit by bit

$Lemonade, Inc.(LMND)$ dca for a long time and dca

$SELLAS Life Sciences Group Inc.(SLS)$   it'll be my weekly for quite awhile[Grin]  

$Wal-Mart(WMT)$ Chart looks good. Expecting rotation into Walmart if Fed raises rates.

$PDD Holdings Inc(PDD)$ 想不到上周會反彈咁多。以82出貨帳面要蝕。不過反彈幅度不少。趁機減持未嘗唔係一件好事[贱笑]  [贱笑]  

$Pony AI Inc(PONY)$ 上周賣put7接左貨。今周賣put7元又要接貨。代表它跑輸比大市。因為大部分中概念股今周都有回升。[喷血]  [捂脸]  

$MEITUAN-W(03690)$ $MEITUAN-W(03690)$ $MEITUAN-W(03690)$  上周賣call70出貨。收回部分資金。雖然係要蝕。部署賣反67.5put。我覺得係而家市況會比較好[喷血]   $美團-W(03690)$  倉內還有4000股。雖然平均價是84.6幾元。但通常透過了賣call收了不少期權金。目前虧損達7萬有多[喷血]  。短期不會再賣call？原因是期權金不會好多[摊手]  。 $恆生科技指數(HSTECH)$  要繼續回升既話。它亦相當之重要。因為它的佔比不少。今次出了500股。收回資金。下?周可賣一張比70元更低既put[胜利]  

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