NewUser_CkrdqW

$Grab(GRAB.US) Grab runs a super app across Southeast Asia that brings together ride-hailing, food and grocery delivery, digital payments, and financial services in one platform, connecting millions of consumers, drivers, and merchants in daily transactions. Its services range from GrabFood and GrabMart to GrabPay, GrabFin, and GrabInsure, making it a central digital utility across eight countries. Grab generates most of its revenue from Deliveries at US$1.9b and Mobility at US$1.3b, with smaller contributions from Financial Services at US$379m and Others at US$4m. Grab Holdings stands out because it combines a super app footprint across eight Southeast Asian markets with fundamentals that fit well with a screener focused on financial resilience. @Captain's Treasure

$Netflix(NFLX.US) Netflix's Q3 revenue forecast of $12.86 billion and diluted earnings of 82 cents fell short of analyst expectations, leading to a huge drop in share price. The company is shifting focus from viewing-hours reports to prioritizing revenue and operating profit, aiming for new growth avenues including advertising and video games. Competition is intensifying, but Netflix remains confident in its performance, highlighting healthy engagement and plans to leverage technology and live events to support its growth strategy. The problem wasn't the headline numbers, but rather the forward guidance. In this era of the market, when forecast disappoints, the price reprices immediately, even if the results were just fine. I'm definitely going to load the dip, but it's not going to be a pretty ride. @Captain's Treasure

$SoFi Tech(SOFI.US) Investors reacted positively to a lower CPI in June, indicating a month over month inflation decrease of 0.4%, primarily due to falling energy prices. This decline benefits rate-sensitive sectors like fintech, REITs, and homebuilders, as the likelihood of an imminent rate hike diminished significantly after the CPI release. Sofi earns most of its income from lending, especially personal and student loans, but demand for these loan refinancing had been dormant during the high-rate regime. A steady-rate environment may not trigger a stampede of refinancings, but it could help revitalize the company’s sleepy student loan refinance program. I am still targeting a long term recovery to the mid $20s before the next bullish cyclical cycle. @Captain's Treasure

$Microsoft(MSFT.US) While a host of AI names have delivered massive gains, MSFT stock has shed 24% by being on the wrong side of the AI trade. Essentially, investors are worried that its massive AI infrastructure build-out won't generate the desired profits, while concerns that AI models could reduce the value of traditional software have also weighed on sentiment. Cloud computing and data centers are the keys. Msft remains a leader in cloud computing, a market expected to reach roughly $1.3 trillion in 2026 and potentially expand to $2.28 trillion by the end of the decade. The company is also positioned right at the heart of the data center boom, with that market forecast to grow from around $425 billion in 2026 to $902 billion by 2033, representing an 11% CAGR. Long term potential is still intact. @Captain's Treasure

$NIO Inc(NIO.US) Nio shares rose approximately 2% following Goldman Sachs analyst Tina Hou's upgrade to Buy with a price target of $7.00. Hou foresees strong growth for Nio, predicting a 43% increase in volume and a 60% increase in revenue for 2026, despite a 14% decline in the Chinese NEV market. She emphasizes the stock's attractive valuation compared to competitors, noting it is trading at significant discounts relative to expected price-to-sales and price-to-earnings ratios. With significant improvements and clear directions in every earnings call so far, I believe the recent dip is an accumulation period for those who missed out buying when it was $3 or those who bought at slightly higher prices of $6. @Captain's Treasure

In an AI era where everyone is actively leveraging on the latest technology for accessibility, my imagination for the integration of AI into investing can be discussed through 3 points:

1. Personal Assistant - I believe majority of the people have a regular 9 to 5 job without having the time or energy to keep a close lookout for stocks information or to research a company's performance thoroughly. That's where AI steps in to act like a PA to help swiftly consolidate any information/news for us on the go. Brief review of our holdings after a session, breaking headlines and how they could affect us, or even the hottest momentum stocks that are surging. This info could be crucial for investors who lack the time & effort to do every minute detail by himself.

2. Acting on behalf through commands - Aside from investors, many traders, especially the amateurs who just started out, wish they have an AI/robot that could help them to carry out trades throughout the session without having them to glue themselves to the screen for hours. I imagine AI to eventually be able to do simple but accurate coding based on commands to be able to build a software to allow traders to key in their conditions and let AI do the work. Ofc this would require AI to be advanced and efficient.

3. Personalised Recommendations - I imagine AI to be able to understand me through my search & chat history, portfolio holdings as well as personality. This would then allow AI to know my risk tolerance, what kind of portfolio I want to build, and more importantly, providing insightful and personalised recommendations. Not just say memory sector is imploding right now, and you should invest early; I imagine AI to be able to give more than just surface information, but more of when and why I should enter a trade/investment into a certain sector or equity.

I am genuinely amazed at how efficient Longbridge is in improving its platform and is looking forward to the presentation on 15 July!

@Captain's Watch

$Alphabet(GOOGL.US) Alphabet has been developing its TPUs, positioning them as competitive alternatives to Nvidia's graphics processors. Google's investment in TPUs aims to reduce AI computing costs by up to 30%, potentially transforming its data centers and impacting Nvidia's market share, which currently stands at 86%. The introduction of a neocloud business model enhances this threat, as Google plans to rent TPU capacity to other tech companies, challenging Nvidia's pricing power and profit margins. Many other tech companies are also looking to custom processors to make their AI models more efficient and reduce costs. SpaceX is building what some are calling a "sovereign AI" in which they own everything from the chip design and manufacturing to the AI model itself. @Captain's Treasure

$NU Holdings(NU.US) Nu Mexico has received authorization from the National Banking and Securities Commission (CNBV) to begin operations as a bank. With more than 15 million customers, Nu will become the largest digital bank in the country. This authorization consolidates the model Nu has built in the country: simple, transparent, innovative, 100% digital, and customer-focused. Nu is building a new way of delivering financial services in Mexico, one truly centered on people. Mexico is a key market for Nubank, and this is a decisive step in their long-term commitment to the country, with a total projected investment of USD 4.2 billion through 2030. @Captain's Treasure