To The Moon

$Alphabet(GOOGL)$ Buying GOOGL fractional shares by using premium earned from selling Bull Put Spread 

$IWM 20260227 260.0 PUT$ Quick 100% profit with this expired options before further wild swing from the market 

$Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ I continue to dollar-cost average into SOXL because I believe in the long-term structural growth of the semiconductor industry. The AI wave is not a short-term hype cycle — it is a multi-year infrastructure buildout driven by companies like NVIDIA, Advanced Micro Devices, and hyperscalers investing aggressively in data centers. From AI training and inference to edge computing and electric vehicles, chips remain the core enabler. Instead of trying to time every short-term swing, I prefer accumulating exposure gradually while the broader semiconductor cycle consolidates. Secondly, volatility is exactly why SOXL fits my strategy. As a 3x leveraged ETF tracking the semiconductor sector, it ampl

$GUANGDONG INV(00270)$  Investment Switch: China Everbright Water → Guangdong Investment Guangdong Investment generates 75% of its revenue from Hong Kong's water supply, offering a stable 5-6% dividend yield. Given Hong Kong's dependence on this resource, the business holds a strong moat. As a Singaporean, I appreciate the critical value of water infrastructure. I recently divested my position in China Everbright Water (realizing ~SGD 20k profit). Although it previously yielded 7-8%, recent results indicate a compression to 5-6% TTM. For a small-cap stock, this dividends yield no longer justifies the risk premium. Consequently, I have initiated a long-term position in Guangdong Investment. The water utilities sector continues to be a solid c

$Autodesk(ADSK)$ Autodesk, Inc.(ADSK) Rallies +5.32%: Technical Rebound Ignites, Eyes $250-$260 Zone Latest Close Data Closed at $245.87 on 2026-03-01, up +5.32% (+$12.42). The stock is now ~25% below its 52-week high of $329.09. Core Market Drivers The rally appears to be a technical rebound following a period of sustained selling pressure, as indicated by recent negative capital flow data. No specific company news was the primary driver, suggesting market-driven repositioning. Technical Analysis Volume was strong at 5.37M shares (Volume Ratio: 2.23), confirming the bullish move. The MACD histogram has turned positive (+5.00), signaling strengthening upward momentum. The 6-day RSI (71.10) is now in overbought territory, suggesting the rally may b

$SBA Communications Corp(SBAC)$ SBA Communications Corp. (SBAC) Jumps +4.68%: Bulls Reclaim $201 Level, $225 Target in Sight Latest Close Data: SBAC closed at $201.16 on 2026-03-01, surging +4.68% (+$8.99). The stock now sits ~18% below its 52-week high of $245.16. Core Market Drivers: The significant rally was supported by strong daily net capital inflow of ~$9 million, indicating institutional accumulation. A positive market sentiment towards REITs and stable 5G infrastructure demand are also tailwinds. Technical Analysis: The move was confirmed by above-average volume (2.11x Volume Ratio). The 12-period RSI (59.61) has rebounded from near-neutral levels, showing renewed momentum without being overbought. The MACD (0.89) remains positive, though

Nvidia just released a PERFECT report card... so why is the stock DROPPING? 📉🤯 It sounds crazy, but Nvidia’s earnings were incredibly good. Revenue is up a massive 73%! But Wall Street is acting like a strict parent right now. An A+ is no longer good enough; they expect a miracle every single time. 🤦‍♂️ Here is a simple breakdown of what is really going on behind the scenes: ⛏️ The Gold Rush Problem: Nvidia sells the "shovels" (computer chips) for the AI gold rush. But investors are starting to ask a scary question: Are the gold miners (big companies like Google and Meta) actually making enough profit to justify the cost? If they don't make money from AI soon, they might stop buying shovels. 🌍 The Plot Twist: It’s not just tech nerds buying chips anymore. Entire COUNTRIES are now stepping

February 2026 was rough for stocks. After riding high on AI hype for years, the S&P 500 dipped noticeably, closing out the month a bit below its recent peaks. The Nasdaq took an even bigger hit, marking its third down month in four. The main culprits? Two big, interconnected worries that people are calling the "private credit cockroaches" and the "AI scare trade."Let's break it down in plain terms.The Cockroach Thing in Private CreditJamie Dimon from JPMorgan kicked this off late last year when a couple of borrowers — like a subprime auto lender and an auto-parts company — ran into serious trouble. He basically said, "When you see one cockroach, there are probably more hiding." It's a classic way of warning that one visible problem often signals bigger, hidden ones. Fast forward to Feb

Chanced upon $Microbot Medical Inc(MBOT)$  just before they showcased their LIBERTY system at the intravenous treatment medical conference. Oversold, with a product waiting for adoption brimming with potential, this looked like an opportunity too good to miss. With a price hovering around $1.70~$1.80, I quickly snapped up some call options at $0.30 each. I was planning to go long on this stock anyway, given their plan to advocate for their LIBERTY system adoption throughout 2026 and 2027, they're just at the starting line of a value expansion cycle.  Within a couple of weeks, their showcase was a success, and the first major adoption by a major hospital was announced. Their price shot up quickly to $2.

🌟🌟🌟Coined by Nassim Taleb, a Black Swan is an event that is unpredictable, carries a massive impact and is often explained with hindsight bias after it happens.  The sudden high intensity strikes on Iran on February 28 by US and Israel is certainly a Black Swan event. The lesson to be learnt is to build a portfolio that survives as it is impossible to predict a Black Swan event. That is why I have invested in $Gold Trust Ishares(IAU)$ which is  my ultimate safe haven, backed by physical gold bullion held in secure vaults.  IAU is the 2nd highest Gold ETF in market cap after $SPDR Gold ETF(GLD)$ .  However IAU has a lower expense ratio of 0.25% compared to GLD'S 0.40%.  It also ha

The information and materials provided here, whether or not provided on TBI’s Substack (TBI), on third party websites, in marketing materials, newsletters or any form of publication are provided for general information and circulation only. None of the information contained here constitutes an offer (or solicitation of an offer) to buy or sell any currency, product or financial instrument, to make any investment, or to participate in any particular trading strategy. TBI does not take into account of your personal investment objectives, specific investment goals, specific needs or financial situation and makes no representation and assumes no liability to the accuracy or completeness of the information provided here. The information and publications are not intended to be and do not constit

The information and materials provided here, whether or not provided on TBI’s Substack (TBI), on third party websites, in marketing materials, newsletters or any form of publication are provided for general information and circulation only. None of the information contained here constitutes an offer (or solicitation of an offer) to buy or sell any currency, product or financial instrument, to make any investment, or to participate in any particular trading strategy. TBI does not take into account of your personal investment objectives, specific investment goals, specific needs or financial situation and makes no representation and assumes no liability to the accuracy or completeness of the information provided here. The information and publications are not intended to be and do not constit

This GTC feels structurally different from past ones because the narrative is no longer “more training compute”, but economics of inference. Markets will likely react to proof of monetisation, not just technological ambition. Why GTC could be a catalyst 1. Inference is the larger TAM Training is episodic; inference is continuous. If Nvidia demonstrates meaningful latency and cost-per-token improvements via SRAM + 3D stacking, it reinforces NVDA as the toll collector of everyday AI usage, not just model creation. 2. Architecture transition matters A Feynman-class inference chip signals Nvidia defending against specialised challengers (Groq, custom ASICs, hyperscaler silicon). Integration rather than displacement strengthens ecosystem lock-in. 3. Customer validation OpenAI purchase commitmen