To The Moon

$CRM VERTICAL 261016 PUT 225.0/PUT 220.0$ CRM: take profit.  Very small profit to cover the cost of trades and it was preset to buy back at $$90 per contract.  This is for risk management as the trade had left 5 DTE so I'm actively managing this out.  Glad to be able to collect 10% profit and tick a win here.  Will be replacing with a new trade setup. 

$MSFT 20261120 620.0 CALL$ Selling call for additional cash and yield. Fair value is $600, if my shares get called at $620, I'm still making a good profit. I have collect premiums and dividends while waiting for MSFT to build it's base.

$BABA 20261030 118.0 CALL$ selling call option to earn premium and leveraging my share price 

$MXL 20261016 85.0 PUT$ selling put option to earn premium and leveraging my share price 

$PRU VERTICAL 261016 PUT 115.0/PUT 110.0$ PRU: take loss at 200% of premium collected.  Part of trading that there will be losing trades but when it's a setup issue, then I am only the one to be responsible. I entered this trade too aggressively at bearish fast MA yet I still get in thinking that the 100 SMA will hold the support.  Sub optimal trade setup and paid with a losing trade to learn my lesson. 

$Palantir Technologies Inc.(PLTR)$ Sold! [Cool]  happy with my profit, time to shop for the next stock! Slightly overbought, might have a short term pullback but overall outlook still look bullish.

$PYPL 20261030 50.0 PUT$ PayPal (PYPL) — Recent Bullish vs. Bearish News Bottom line: The news flow over roughly the past month is a tug-of-war. The bull case rests on PayPal's push into AI "agentic commerce" (the Meta/Muse partnership) and a still-cheap valuation; the bear case is a steady drumbeat of analyst price-target cuts on take-rate pressure and competition. Net sentiment looks mildly cautious — the stock is trading near $56, below its 52-week high of $79.22, and the analyst consensus sits at Hold.

$APLD 20261023 20.0 PUT$ Applied Digital (APLD) — Recent Bullish vs. Bearish News Conclusion: Over the past three months, the news flow on Applied Digital (APLD) watchlist has been dominated by bullish operational and revenue catalysts, but the stock has failed to hold those gains — a pattern that suggests the market is pricing execution/financing risk and valuation rather than doubting the AI-datacenter demand story itself.

$UPST 20261016 23.0 PUT$ Outlook: cautiously constructive, but high-risk [ symbol? Must exact no space] Use Upstart Holdings (UPST) watchlist . The operating outlook for Upstart Holdings (UPST) watchlist is improving: revenue growth remains strong, profitability has returned, and consensus expects further earnings expansion through 2028. However, the share price still reflects a volatile, credit-sensitive business, so the outlook depends heavily on continued loan-demand growth and stable credit performance.

$APLD 20261023 20.0 PUT$ Recent news: bullish catalysts outweigh near-term sentiment, but execution risk remains high For Applied Digital (APLD) watchlist , the dominant recent catalyst is a substantial FY2027 Q1 revenue beat driven by AI data-centre leasing. However, the share-price response was muted, suggesting investors remain focused on financing needs and delivery against its large contracted pipeline. Bullish Revenue sharply exceeded expectations: FY2027 Q1 revenue was USD 342 million, up 322% year on year , versus analysts’ average expectation of USD 134 million. Service and other revenue contributed USD 262.8 million , while data-centre leasing generated USD 79.1 million . East Money Large contracted-demand base:

$ONDS 20261218 7.0 PUT$ $ONDS 20261218 7.0 PUT$  1️⃣ Why am I making this trade now? After taking profits previously, I am adding more to my sell puts position on Ondas to collect more premium while waiting for stock price to recover. If not, I am ok to be assigned shares at a lower net cost basis.  2️⃣ What’s my plan from here? Ondas has a proven business and continue to build their automated drone and wireless network segments. I will track their next earnings updates around 16 Nov 2026 to decide further on the next course of action. I am further encouraged by the recent news on Ondas and Palantir partnership to launch a brand new AI company for devel

$Ouster Inc.(OUST)$ Decided to add this company to my portfolio after a correction. 

$Centrus(LEU)$ Added this company to my portfolio as a nuclear energy play after the recent correction.

$GOOGL VERTICAL 261030 PUT 315.0/PUT 310.0$ Closing at 84% profit, and 27 days left before expiration.Taking advantage of the price surge for 2 straight days. MSFT may retreat a bit as it reaches its all time high this year, and as it gets closer to the resistance at $550-$560.

$INTC 20261016 102.0 CALL$ Heavy downwards pressure. Selling a 3 DTE call.  Willing to let it go or collect premium.

① What Happened Today Semiconductors got sold off, and the AI trade is starting to split. Memory chips under pressure: China's CXMT made progress on a new architecture, raising fears about future competition. Samsung and SK Hynix kept falling. Micron dropped 3.9% overnight. Memory chips and hard drive stocks keep getting sold. AI investing logic is shifting: Broadcom's CEO warned that AI investing has too much speculation. Meta launched a new model called Muse Wonder, which made the market rethink: if big tech companies can build stronger models themselves, will demand for outside AI companies like OpenAI and Anthropic drop? Meta bucked the trend: META rose about 4% after Muse Wonder launched. Money is splitting: some still chases big platforms with AI research power, while some leaves sem

🌟🌟🌟 This is an important week as the US Big Banks report their earnings.  When the CEOs step up to the podium, investors will be keen to find out about their Net Interest Income or NII.  If the NII looks weak, the bank stocks may slide. Another important metric to watch out is  the provisions of credit losses. If the Big Banks are quietly hoarding big piles of cash to cover bad loans, it means they smell trouble brewing in consumer credit cards and commercial real estate. Which is the best bank stock to buy? My top pick is $JPMorgan Chase(JPM)$ as Jamie Dimon's fortress remains the gold standard.  It is the King of retail banking, asset management and trading.  JPMorgan is the largest US bank with assets under management

As the Q3 earnings season kicks off, bank performance hinges on the tug-of-war between strong Net Interest Income (NII) and accelerating deposit costs. While high benchmark rates bolster yields, balance sheet strength dictates who truly outperforms Among major Wall Street institutions, JPMorgan Chase (JPM) stands out as the ultimate winner. JPM’s unrivaled capital fortress, disciplined risk management, and dominant deposit franchise allow it to navigate credit normalization far better than peers. Unlike competitors constrained by rising funding expenses, JPM continues capturing market share across retail and wealth management. Furthermore, its resilient corporate and investment banking pipeline provides a strong earnings engine during macro shifts While Bank of America faces softer fee ou

I’d choose B — MRVL’s upgrade, but the real story isn’t the higher price target. It’s where AI investment is heading next. The market has spent years rewarding GPU leaders, but increasingly powerful AI clusters also need high-speed connectivity, custom silicon and efficient data transmission. Marvell sits at this intersection, giving it potential exposure beyond the GPU race. However, multiple analyst upgrades don’t guarantee future returns. Investors must still examine customer concentration, execution risks, valuation and whether AI infrastructure spending can justify current expectations. My biggest takeaway? AI investing is shifting from buying the loudest narrative to identifying the infrastructure bottlenecks. The opportunity may be substantial, but the best business is not automati