Lily Onga🥬

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Lily Onga🥬

Lily Onga🥬

@lilyonga_

Lily Ongartthaworn - Artist 🍛🛎️

Tokyo-to, Japan Katılım Mayıs 2021
433 Takip Edilen4.1K Takipçiler
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Lily Onga🥬
Lily Onga🥬@lilyonga_·
I change my username from @broccolilyfarm to @lilyonga_ 🦦🌽🥬 About to start a new wave of my career and I hope you’ll continue to be here with me เปลี่ยนแฮนเดิ้ลเป็นชื่อจริงค่ะ 👩🏻‍🍳 ขอบคุณที่ให้กำลังใจบล็อกของลิลลี่มาตลอด ปีนี้จะรับงานในสเกลที่ใหญ่ขึ้น จริงจังขึ้นค่ะ
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Spacesthetic
Spacesthetic@interiorsuckerr·
Claude Lalanne’s Ginkgo Chair, 1990's
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chris evans
chris evans@notcapnamerica·
I just found out that Anne Hathaway optioned the rights to a book about a modern tradwife influencer who wakes up in 1855 and has to live the life that she’s been selling to her followers online. I am SCREAMING
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AL; @CASummer 2-days |F33-34
ไม่ได้เก่งขนาดจะแนะนำอะไรใึรได้ แต่ถ้าใครสนใจหนังสือด้านหมังหงะสไตล์ญี่ปุ่นและพออ่านญี่ปุ่นออก แนะนำเล่มนี้โคตรดีโคตรเทพ ครบจบทุกสกิลมังหงะค่ะ อ่านแล้วสมองส่องแสง🤯
AL; @CASummer 2-days |F33-34 tweet media
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Lily Onga🥬
Lily Onga🥬@lilyonga_·
@littletotoro8 ขอบคุณมากๆ กว่าค่ะ☺️ รู้สึกโชคดีที่ได้มาพบแอคของคุณค่ะ
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LittleTotoro
LittleTotoro@littletotoro8·
@lilyonga_ ขอบคุณมากๆเลยครับ 🥹 ดีใจมากเลยครับที่ช่วยเป็นความรู้ให้ได้ สงสัยอะไรตรงไหนถามได้หมดเลยนะครับ
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LittleTotoro
LittleTotoro@littletotoro8·
UPDATED COMPREHENSIVE FRAMEWORK (Updated Intrinsic Value Calculation - April 2026) ======================== Framework Definition This framework calculates the Expected Return of a stock over the next 3 years (end of 2028). It is based on 12 steps of internal methodology inside this framework, to convert companies from different sectors, stages, industries to a standardized “Leaderboard” The Goal By normalizing every stocks to a 3 years holding period, with a uniform % upside metric, will allow comparing companies from different properties to a single objective field of “upside” Every upside % → shares the same timeframe, 3 years of holding. ======================== To use this framework: This framework is separated in 3 Zones: with each Zones assigned an upside number %, from different stages of analysis. 🔵 Zone A → 🟢 Zone B → 🔴 Zone C 🔵 Core Mechanism → 🟢 Overview → 🔴 Reality ======================== 🔵 Zone A (Blue columns): Core Mechanism Explains 2 core machanisms of what drive stock prices: 🔵 1. Earning Growth 🔵 2. Multiple Expansion 🔵 Column 1: Upside From Earning Growth Fundamentally, an increase in annual earning directly increase a stock economic value. This column is designed to calculate estimated earning growth that will occur over the next 3 years. Higher value indicates stronger pace of underlying business growth. 🔵 Column 2: Upside From Multiple Expansion. Market always assign a “valuation” to a stock. Valuation is denoted as multiples. (Ex. 22 P/E = 22 Multiples) This column is designed to evaluates their current multiples and a fair multiples. Fair multiple is calculated based on quality of earning itself, based on these parameters: 3Y Forward PEG = 1, Industry, Ability to compound, Ability to retain revenue etc. For example: a company with current 30 P/E, but has fair value of 20 P/E would receive a -50% Upside From Multiple Expansion (a penalty) → Positive % suggests that the stock is currently undervalued relative to its quality, therefore, has room for P/E ratio to expands. → Negative % suggests that the stock is expensive. Stock today has price that doesn’t yield a great earning return in relative to its quality, and has room of opposite to multiple expansion, a “multiple compression”. In other words, downside in the future. ======================== 🟢 Zone B (Green columns): Expected Return 🟢 Column 3: Combined Upside This column multiplies 2 mechanisms from first 2 columns together. Formula = Column 1 (Earning Growth) × Column 2 (Multiple Expansion) It represents total upside potential of the stock over the next 3 years if the company executes perfectly, and if the market remains rational. In a perfect world, this is the return you will get from holding this stock for 3 years. However, this method has flaws, as this world/market is not perfect. It assumed a perfect prediction of earning growth, and a perfect prediction of market’s emotion to appreciate a company quality enough to give a “fair multiples”, which is never the case in real life. Which leads to Zone C ======================== 🔴 Zone C (Red columns): Risk-Adjusted Return This zones adjust Zone B & Column 3 into real market 🔴 Column 4: Execution Risk Level Not every company has equal quality, not company is equally reliable. This column adjusts existing Expected Return from Column 3, and adjusts for risk: management track records, moat/qualities, regulation risks, etc. Execution Risk ranges from Very Low (High moat, highly predictable) to Extreme (Uncertainty) 🔴 Column 5: Execution Risk Multiplier Execution Risk Level is assigned to a numerical multiplier to Expected Return. Execution Risk: Low → 0.9 Multiplier Execution Risk: Very High → 0.5 Multiplier As a result, the higher the risk, the lower Upside % overall 🔴 Column 6: Risk-Adjusted Upside (Final Product) The final product of the sheet. This columns accounts for expected upside over the next 3 years, accounted for Execution Risk. Formula: Column 3 (Combined Upside) × Column 5 (Execution Risk Multiplier) As a final product (Column 6, Risk-Adjusted Upside) will be used as main determinant of an investment choice. ======================== ✅✅✅Example of my picks from this framework: $APP → High Earning Growth, fair multiples, high quality earnings. $CRDO → Very high growth with strong CapEx tailwind. → Cheaper than peers $ALAB → room to rerates to higher multiples $MSFT, $META, $AMZN, $TSM → Safe “Core Stocks”, long term compounder, attractive valuation given their ability to compound & retain earnings. $NU, $DLO → High upside from Earning Growth, attractive multiples, diversification from US. $DAVE → High growth, extremely undervalued, but comes with severe regulation risks. $RDDT, $RBRK → Expensive, but compensated by very strong growth. ❌❌❌ Example of my avoids: $PLTR → Very high growth & Quality, but insanely overvalued → Actually ranks #1 in Quality Score Model, far above others, but the valuation is too high to justify an investment. $RKLB → No profit in forseeable future (2028) → hard to evaluate intrinsic value. $NVO, $UNH, $ADBE → Cheap, but rely too much on multiple expansion → require the market to rerates higher → rely more on luck ======================== To use this framework to help pick stocks step by step: 1. Avoid less than -25% in Upside From Multiple Expansion 2. Look for Highest Upside From Earning Growth 3. Look for Highest Risk-Adjusted Upside 4. Look for as low Execution Risk as possible No stock is perfect. → Stocks with higher upside tend to come with higher risk → Low risk will comes with low upside This framework only helps to find a great Risk/Reward opportunity based on numbers, but by its own is not enough. Always do research, build your conviction, along with concrete fundamental numbers. ======================== Notes: This sheet exclude diffucult stock to evaluate: Extremely Cyclical: $MU, $SNDK, Bitcoin Miners/HODLers No-profit stage: $NBIS, $IREN, $ASTS Highly Speculative: $IONQ Rare Earths, Biotechs, Robotics, Space Uninteresting stocks: Majority of SaaS, Banks, Insurances, Matured stocks Excluding these stocks define your “Circle of Competence” strictly. If a stock go up +50%, you must understand the mechanisms of it. Whether you do or don’t, it is the thin line between guessing and investing.
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หนังสือปกน้ำเงินเล่มที่เก้า 📘
อ่านถึงตรงนี้แล้วเซอร์ไพรส์ + ชื่นชมในความ clever ของกลวิธีการแปล จะได้ไม่ต้องมาโวยกันเรื่องเสียรสวัฒนธรรมต้นทาง ใช้ภาษาต้นทางแม่ง 555555
หนังสือปกน้ำเงินเล่มที่เก้า 📘 tweet media
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enki
enki@Enkiwii·
L'existence de Yuri Gagarin implique l'existence de Yaoi Madonnarin
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sasakishun
sasakishun@nuhsikasas·
修悦さんと新宿
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Art Encyclopedia
Art Encyclopedia@artenpedia·
“The cat and the Porridge”, 1935, Yuri Vasnetsov
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MAEDAX@背景美塾 塾長
平面のパースは右が正解ですが、左は左で未来的。
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Memory Card
Memory Card@MemoryCardFiles·
Nintendogs | Nintendo DS - 2005
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西方
西方@masa_seihou·
411に泊まったんだけど、他の部屋と比べると狭すぎてうける🤣
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