To The Moon

After an important 2-day of economic data release, it seems like the 🐂🐂🐂 are back in play for April🥳🥳🥳 🔎Initial Jobless Claims (30/3): The number of Americans filing for unemployment benefits rose by 7,000 from the previous week to 198,000 on the week ending 25 March, slightly above expectations of 196,000. While surpassing expectations, the result remained at a low level by historical standards & continued to point to a stubbornly tight labor market, in line with the hot payroll figures for Feb & the Fed’s outlook of low unemployment. The tight job market forces employers to raise wages to attract & keep staff, magnifying inflationary pressure on the American economy & adding leeway for the central bank to continue tightening monetary policy. The 4-week moving average, wh

QQQ is an ETF that aims to track the NASDAQ. QQQ hit a low of $$254.26 in Oct 2022 but its closing price on 29/3 was $315.68, that is an increase of 24.2% & that pushes QQQ into the 🐂 market territory. We know that whenever the Fed increase interest rates, QQQ's share price would drop. However, some experts say that the current signs: ⭐️ No additional bank failures, ⭐️ A weak housing market, ⭐️ Fears of recession give the Feds reason to pause or even stop rate hikes altogether now, ⭐️ The recent once-in-a-lifetime technological Generative AI🤖 advances has also give the tech industry the base to innovate new products which explains the 🐂-ish sentiment among investors🥳🥳🥳 Bank of America analysts stated that our popular META♾ AAPL🍎AMZN📦 GOOGL💻 have collectively missed earnings estimate

Hello fellow 🐯🐯🐯 @TigerEvents asked us to share what we’ve learnt in Q1 2023 & the best lesson I’ve learnt in this quarter is about the effectiveness of Dollar-Cost-Averaging (DCA), how to best harness the power of DCA through the 🐯Auto-Invest feature, & knowledge of how I should Auto-Invest in a 🐻 market. Hope this sharing will benefit you in your investing journey🥰 This is part 4 of my 🐯Auto-Invest series, so if you haven’t read my earlier posts, do click on the Snoopy Icon to reach my homepage to read: (1) My introduction on DCA where I debunked a common misconception that ❌DCA = Averaging Down❌ & compared the pros & cons of DCA 🆚 Averaging Down 🆚 1-Time Purchase. (2) Real Life Example In Action🎬: My purchase pr

Hello fellow 🐯🐯🐯, this is part 3 of my 🐯Auto-Invest series, so if you haven’t read my earlier posts, do click on the Snoopy Icon to reach my homepage to read: (1) My introduction on Dollar-Cost-Averaging (DCA) where I debunked a common misconception that ❌DCA = Averaging Down❌ and compared the pros and cons of DCA 🆚 Averaging Down 🆚 1-Time Purchase. (2) Real Life Example In Action🎬: My purchase price 🆚 🐯Auto-Invest price 🔎Background: When I couldn’t decide what was the best auto-invest plan to be on, I discussed with 1 of my nice 🐯buddies and was laughed at🤭 when I said I was thinking of doing $1 daily for each stock. I know it’s duh…but to my creative brain🧠, it was like: 🤔💭 If I really believe that DCA works, then the best frequency should be daily as I would literally minimise all the

Hello fellow 🐯🐯🐯, this is part 2 of my 🐯Auto-Invest series, so if you haven’t read my earlier post, do click on the Snoopy Icon to reach my homepage to read my introduction on Dollar-Cost-Averaging (DCA) where I debunked a common misconception that ❌DCA = Averaging Down❌ and compared the pros and cons of DCA 🆚 Averaging Down 🆚 1-Time Purchase. 🔎Background: As a researcher at heart, I’m always full of new ideas and hypotheses even for my investing, and I love to test my hypotheses to proof or refute them🧐 I’ve been thinking of trying 🐯Auto-Invest (which employs the DCA concept) for some months now…However, I didn’t have the spare time and I wasn’t a 100% bought-over by what I read about DCA until I tested it for myself so I procrastinated😅 until a few of my AWES💜ME 🐯 buddiesdiscussed

Throughout my investing journey, I frequently struggle with these thoughts: 💭 “If only I bought the stock the other day, I would have gotten the stock at a way lower price😖 I knew it might go up anytime‼️” or 💭 “Silly mistake🤦🏻‍♀️ I should have bought this stock later‼️ I knew the market was going to go down‼️🙁😩😤 These thoughts somewhat take away my joy in investing as I want to buy a stock at the lowest possible price and even buying at a fairly low price (e.g. getting GOOGL at $91+ instead of at its lowest of $83+ when the stock was previously $140+) makes me feel frustrated with myself at times…Fellow 🐯🐯🐯 do you experience this as well❓ Being able to time the market accurately⏰📈/📉 is an extremely hard skill to master and it’s almost impossible that we would be able to buy the the stock

On 28/3 (Tue), $Alibaba(BABA)$ 🇺🇸BABA 🚀🚀🚀14.26% & closed at USD 98.40 & inched up to $99.09 at post-market trading. The 🐂 rally continued into HKEX today (29.3) with 🇭🇰BABA jumping 12.23% to close at HKD 94.55. At 1 point, BABA hit a high of HKD 98. This 🐂 rally was because BABA’s announced that it would be splitting its $220 billion empire into 6 business units as part of a massive restructuring, leading to investors reappraise their valuations for BABA. Chief Executive Daniel Zhang will continue to serve as chairman & chief executive of Alibaba Group, the parent company, while each of the 6 business groups will be managed by their own CEO 6 board of directors. Its domestic e-commerce business will

Lithium prices have been slumping💸💸💸 as supply bottlenecks are easing & 🇨🇳’s demand for EVs, & global demand for many consumer electronics have slowed due to inflation & rising interest rates. However, on a 🐻-ish day for most 🇺🇸 stocks on 28/3 (Tue), 🇺🇸 lithium stocks got a booster🎉 as a major lithium player in the 🇺🇸 Albemarle (ALB) made a $3.7 billion preliminary offer to acquire 🇦🇺’s Liontown Resources (LTR) at a whopping AUD 2.50/share from its previous day’s close of AUD 1.54. Other popular 🇦🇺 lithium stocks e.g. PLS, AKE, SYA got lifted. Despite LTR rejecting the offer, other 🇺🇸 lithium stocks popped up more that 2%-8%, with ALB losing a small 0.33%. Previously, ALB made 2 other offers at $2.20 & $2.35 per share over the last 6 months to buy LTR. Therefore, speculatio

As governments & regulators in the 🌎 stabilise the 🏦 crisis, 🏦 stocks have stopped plummeting but recovery for 🇺🇸🏦 stocks have been choppy. Why is this so❓Since governments are clearly coming to the rescue🚑🚑, then why are investors still on their toes❓That’s because investors have the effects of a Bank Run🏦🏃‍♀️🏃‍♂️ & The Global Financial Crisis (GFC) at the back of their minds🧠 To understand why, let’s dive in deeper🕵🏻‍♀️ Most investors would associate the start of the GFC as the moment the great investment bank🏦, Lehman Brothers, collapsed on March 15, 2008⚡️⛈⚡️ However, Lehman Brothers was not the first 🏦 to collapse during the GFC, that 'honour' actually belongs to Northern Rock Bank in UK. On Sep 14, 2007, Northern Rock sought & received a liquidity support facility from t

Micron (MU) is a leader in the DRAM & NAND memory-semiconductor markets. DRAM stands for dynamic random-access memory, used in desktop computers🖥 & servers, while NAND is flash memory, found in smart 📱& solid-state hard drives. However, it’s share price plummeted when memory chip sales slumped in 2022. MU’s shares have since recovered a little & are up about 17% this year.  The company's report in Dec didn't go over well with Wall Street as the company reported a wider-than-expected loss & revenue slightly below expectations. MU also forecast a larger-than-expected loss for this Feb-ended quarter & revenue growth slightly ahead of expectations. MU will be releasing its fiscal Q2 2023 earnings report on 28/2 (Tue) after close. 🚨 MU executives on 2/3 warned of a