Being Bull ♉

25 High-Potential SME Stocks With Long-Term Growth to Study & Research 🔥🔥🔥 FlySBS Aviation Viviana Power Yash Highvoltage Oriana Power Asarfi Hospital Sathlokhar Synergys Aimtron Electronics Alpex Solar Danish Power Rajesh Power Supreme Power Neetu Yoshi Exhicon Events Media Afcom Holdings Maxvolt Energy Airfloa Rail Unihealth Hospitals L. T. Elevator Prizor Viztech Vilas Transcore Monolithisch OSEL Devices OBSC Perfection Sacheerome Long-term valuation will be determined by execution and management quality - if the management delivers on its guidance and the company executes efficiently while operating in a favorable industry environment, these businesses can perform exceptionally well. Therefore, when the market corrects and stocks are available at attractive valuations, it becomes the ideal time to study, track, and research such companies to gain an early mover advantage for the next bull run. Disclaimer: This content is for educational and informational purposes only and should not be considered as financial or investment advice. The stocks mentioned are for study and tracking purposes, not recommendations to buy or sell.

Many investors focus on P/E but often overlook P/B🔖 A metric that can offer deeper insights during volatile or cyclical phases P/E fluctuates sharply with quarterly earnings temporary earnings dips can make stocks look expensive on P/E though they’re actually attractive It works especially well for indices where long term P/B bands often help identify attractive entry zones

Q showing what a Momentum Market looks like. "A momentum market is when the 10 and the 20 day moving averages, like I use the Nasdaq for me the Nasdaq is the market. like 90 percent of the stocks I trade are Nasdaq stocks. I couldn't care less about S&P500 or NYSE. like for me the market is the Nasdaq" "So when the 10 day is rising and the 20 days is rising and when the 10 day is above the 20 day, that's the momentum market. Something like this, okay, you don't have to catch any lows after the market bottoms you just have to catch the meat in the middle this is the momentum market. I have had a huge run I'm up over 200 percent in the past four months okay just this is not a good swing trading market on the long side this you know if you get any breakouts when the 10 day moving average is sloping down when the 20 is day sloping down and 10 days below the 20 day there's a high fail rate. okay you probably shouldn't swing trade on the long side this is a good swing trading market very good this one you know these can be a little bit tricky like this was a good period this was not a good period and just a sideways chop this was also incredibly good swing trading market this wasn't that much I mean you can get select stocks that move higher and have nice breakouts and follow through but the fail rate is just so much higher this was a good one so there are good and bad markets right now we are in an extremely good market."

"One great lesson: focus only on what you can control and what truly makes a difference. Don’t waste energy on what you cannot change.” Jim Simons

Q saying his dream is to get into the Market Wizards Book. (congratulations to him for achieving it) "[reads chat] If you get into the @WSJ Wall St Journal @jackschwager will notice you." "Holy sh*t if I can get into the Market Wizards book that's like a dream of mine. I love those books, oh man if I can get into the next - I mean the next one is coming like in a few months, but in the one after that -that one is probably gonna come in the next 10 years if I can get get into the next one that would be awesome." @gfc4 @Qullamaggie

CarTrade: Dissecting Nomura’s +78% Upside Call (What Works, What Needs Proof) 1 | What exactly is Nomura’s thesis ? Nomura’s core argument is simple: ▪️ CarTrade already has scale ▪️ AI can improve user experience ▪️ AI can reduce friction across buying/selling ▪️ Cross-leveraging CarWale + OLX can improve relevance ▪️ Faster transactions can create new monetisation opportunities ▪️ This can drive revenue growth + margin expansion - So this is not a pure traffic story. - It is a platform efficiency + monetisation expansion story. 2 | First check - Is the base business strong enough for this thesis ? This part of Nomura’s view looks credible. Why? ▪️ 85mn+ monthly unique visitors ▪️ ~63% share in India’s used car listing space ▪️ Presence across new cars, used cars/OLX, and remarketing That matters because AI usually works best when layered on top of: ▪️ existing traffic ▪️ large datasets ▪️ repeat user behaviour ▪️ established category relevance - So on the starting moat, Nomura’s logic looks right. My view: - Nomura is likely correct that CarTrade has the scale needed to experiment meaningfully with AI. 3 | Second check - Is this really an AI thesis, or just AI packaging ? - This is where the note becomes more interesting. - Management did not describe AI in a vague “we are using AI everywhere” way. - They tied AI to specific workflows: In new cars: ▪️ AI agents linked with OEM/dealer systems ▪️ inventory discovery ▪️ pricing/discount info ▪️ financing support ▪️ test-drive scheduling ▪️ reducing need for dealer calls In used cars / OLX: ▪️ image-led selling ▪️ instant matching ▪️ hyperlocal commerce ▪️ AI-assisted Elite programs ▪️ C2B and C2C interfaces coming soon - That is important. - This means the thesis is workflow AI, not just content AI or chatbot AI. My view: - This makes Nomura’s thesis stronger. - Because workflow led AI can improve actual conversion and monetisation, not just engagement optics. 4 | Third check - Does AI actually create revenue here ? - This is the most important question. - AI matters only if it improves one of these: ▪️ lead conversion ▪️ transaction speed ▪️ pricing power ▪️ premium product adoption ▪️ attach rates of services like logistics/financing - Nomura’s argument is that CarTrade’s AI initiatives can do exactly that by: ▪️ making discovery smoother ▪️ reducing friction in buying/selling ▪️ enabling cross-platform lead sharing ▪️ improving transaction turnaround ▪️ unlocking premium/partnership revenue streams - This is internally logical. But here’s the nuance: - Logic is strong. Evidence is still early. - The note talks about: ▪️ upcoming rollouts ▪️ products under development ▪️ AI variants to be introduced ▪️ monetisation opportunities in the medium term - That means this is not yet a fully proven earnings inflection. My view: - Nomura is probably right on the direction, but the magnitude of monetisation is still unproven. 5 | New car thesis - Is Nomura underestimating the complexity ? Nomura likes the Signature Dealer idea: ▪️ AI-led dealer/OEM integration ▪️ real-time inventory and pricing ▪️ financing and test-drive orchestration ▪️ fully digital buying experience - On paper, this is powerful. - But execution risk is real because new car buying involves: ▪️ dealer responsiveness ▪️ inventory accuracy ▪️ OEM integration depth ▪️ financing partner coordination ▪️ offline closure behaviour - So the thesis works only if the ecosystem cooperates well. - This is not like plugging in a chatbot and instantly increasing revenue. My view: - Nomura may be slightly optimistic on speed of rollout impact in new cars. - The product idea is strong, but dealer/OEM ecosystem execution is hard. 6 | Used car thesis - Is this where Nomura is most likely right ? - Probably yes. - The used car side appears more compelling. Why? - Because the friction points are obvious: ▪️ listing hassle ▪️ trust deficit ▪️ buyer-seller matching inefficiency ▪️ transaction delays ▪️ fragmented local discovery CarTrade’s proposed AI tools seem directly targeted at those pain points: ▪️ sell with just an image ▪️ instant local matching ▪️ C2B + C2C integration ▪️ WhatsApp-led interaction through SuperDost This is where AI can genuinely make the funnel better. If friction falls, then: ▪️ listings rise ▪️ lead quality improves ▪️ closure speed improves ▪️ monetisation intensity can improve My view: Nomura is most likely correct on used cars/OLX being the real monetisation unlock. 7 | OLX thesis - Is user stickiness a real advantage ? Nomura highlights: ▪️ >57% users have been on the platform for >5 years ▪️ Elite Buyer / Elite Seller programs have seen good acceptance ▪️ verification has gone live ▪️ more layers like logistics, retail, partnerships, fintech can be added over time - This matters because monetisation usually improves when trust improves. - Verification + premium programs + AI assistance can help move OLX from: open marketplace → more curated marketplace That usually supports: ▪️ better conversion ▪️ higher trust ▪️ premium monetisation - But again, the question is whether consumers will pay enough for these layers. My view: - The OLX stickiness point is real. - But the revenue uplift per user still needs proof. So Nomura’s thesis is reasonable, but not fully derisked. 8 | Is management right that AI search won’t disrupt them ? - Management says no meaningful negative impact has been seen from AI exploratory search because car buying is a specialised, high-involvement process and the platform’s focus protects it This argument makes sense. - Buying a car is not like asking AI: “best phone under ₹20,000” It involves: ▪️ location ▪️ dealer inventory ▪️ financing ▪️ inspection ▪️ comparison ▪️ transaction trust ▪️ scheduling - So generic AI search may not replace a specialised platform easily. - But it can still affect top of funnel discovery over time. My view: - Management is probably right in the near term. - But saying AI search is not a threat at all would be too relaxed. - Nomura acknowledges some risk here, and that balanced framing is fair. 9 | Are Nomura’s growth assumptions sensible ? Nomura expects: ▪️ ~24% revenue CAGR in consumer business over FY26-28F ▪️ ~25% revenue CAGR in OLX over FY26-28F ▪️ EBITDA margin expansion from 35.4% in FY26F to 39.4% in FY28F Are these crazy numbers? No. Why? - Because if the company already has scale, then even moderate monetisation improvements can drive: ▪️ decent revenue growth ▪️ strong operating leverage ▪️ margin expansion - So the margin thesis is actually one of the stronger parts of the note. - But the question is whether revenue growth reaches that level without heavy customer acquisition spend or product ramp delays. My view: ▪️ Margin expansion thesis - plausible ▪️ Revenue CAGR thesis - possible, but execution sensitive - So Nomura’s estimates are not unreasonable, but they are not conservative either. 10 | Is the target price logic strong ? - Nomura maintains Buy and target price ₹3,026, using segment-based valuation multiples including 38x EV/EBITDA for OLX/consumer and 20x for SAMIL, applied to FY28F metrics discounted back - This means the TP is clearly based on a belief that: ▪️ AI-led platform improvement will sustain growth ▪️ margins will expand ▪️ OLX/consumer should command premium multiples - So the target price is not just about near-term earnings. - It is a multiple expansion + execution thesis. My view: - The TP works only if the market starts viewing CarTrade as: ▪️a higher-quality digital platform with monetisation optionality ▪️Not just a mature classifieds asset. - That is possible but valuation upside depends on the Street believing the platform transition. 11 | Where Nomura is strongest ? Nomura is strongest on these points: ▪️ CarTrade has real scale ▪️ AI is being applied to actual workflows ▪️ used-car/OLX friction can be reduced materially ▪️ cross-platform data and traffic leverage is a genuine advantage ▪️ operating leverage can expand margins if monetisation improves - These are solid. 12 | Where Nomura may be too optimistic ? Potentially optimistic areas: ▪️ speed of monetisation from new AI products ▪️ ease of dealer/OEM/logistics ecosystem execution ▪️ how quickly premium services gain paid adoption ▪️ confidence that exploratory AI search won’t pressure funnel behaviour over time ▪️ assuming all new layers translate cleanly into higher revenue intensity - So this is not a wrong thesis. - It is a thesis where execution still has to catch up to narrative. 13 | Final verdict - Is Nomura correct ? My answer: - Broadly yes, directionally. - But not fully proven yet. What looks correct: ▪️ AI can strengthen CarTrade’s moat ▪️ AI can improve transaction efficiency ▪️ used-car/OLX side offers the clearest monetisation upside ▪️ margin expansion is believable if product execution works What still needs proof: ▪️ scale of revenue uplift ▪️ speed of rollout success ▪️ premium monetisation depth ▪️ ecosystem execution across dealers/logistics/financing 🧭 Investors Compass Takeaway ▪️ Nomura’s thesis is strategically sound ▪️ The strongest part is used car + OLX monetisation optionality ▪️ The weakest part is assuming fast monetisation of all AI initiatives ▪️ This is more of an execution-led rerating thesis than a proven earnings breakout today ▪️ So yes, Nomura may be right on direction, but the stock still needs delivery to earn that upside No Buy/Sell Recommendation #StocksInFocus #StocksToWatch #Cartrade #olx

This 3-hour algorithmic trading video with Python is like getting a mini course from Massachusetts Institute of Technology - for free It reveals more about quant trading and bots than most traders learn in years on the market Bookmark it. Watch it. Then watch it again.

Adding one more stock to this list. Prabha Energy Why ? Because this may be a long term beneficiary of India's reliance on self made fuel/gas. Prabha uses Coal Bed Methane which is cleaner than existing used fuel which aligns with the government mission. North Karanpura CBM Block: Commercial Production: Successfully commenced in May 2025. Structure: Operated as a joint venture where PEL is the Lead Operator (25% stake) alongside ONGC (55%) and IOCL (20%). Monetization: Currently selling gas through "cascades" (mobile tankers) while pipeline connectivity work is underway to reach the national grid. Jharia CBM Block-1: Potential: This is a high-quality asset with significant gas-in-place resources. PEL holds a dominant interest here (up to 90%). Development: It is being developed to contribute to India's goal of increasing domestic gas production. The company has recently done a rights issue of 140cr at 144 share price. Note: Not a buy/sell reco.

#NETWEB Short-Term & Mid-Term Guidance. 30-40% CAGR Growth for Next 2Year 🤯

How GOD MADE ME A MILLIONAIRE TRADER A CHINESE TRADER SHARED HIS FULL STORY WORTH WATCHING 💯

Three return ratios every investor should track: ROE, ROCE, and ROA. What's the difference? When to use which? 1. ROE (Return on Equity) Formula: PAT ÷ Shareholder's Equity × 100 What it measures: Returns generated on shareholder money Example: PAT: ₹100 Cr Equity: ₹400 Cr ROE: 25% High ROE (>18%) = Good But check: Is it from operations or leverage? ROE can be inflated by: - High debt (leverage boosts ROE) A company with: ₹100 Cr equity + ₹900 Cr debt May show high ROE, but it's risky (leverage-driven) 2. ROCE (Return on Capital Employed) Formula: EBIT ÷ (Equity + Debt) × 100 What it measures: Returns on ALL capital (equity + debt) Example: EBIT: ₹150 Cr Equity: ₹400 Cr Debt: ₹600 Cr Total Capital: ₹1,000 Cr ROCE: 15% Shows true operating efficiency. High ROCE (>20%) = Quality business Consistently high ROCE = Moat exists 3. ROA (Return on Assets) Formula: PAT ÷ Total Assets × 100 What it measures: How efficiently assets generate profit Example: PAT: ₹100 Cr Total Assets: ₹1,500 Cr ROA: 6.7% ROA varies widely by sector: - Asset-light (IT, pharma): ROA 15-25% - Asset-heavy (manufacturing, infra): ROA 5-10% High ROE but low ROCE = Leverage-driven Risky! The pattern: Healthy company: ROE ≈ ROCE (minimal leverage impact) Both >15-18% Leveraged company: ROE >> ROCE (debt boosting ROE) Check if sustainable Declining trend: FY23: ROE 25%, ROCE 20% FY24: ROE 22%, ROCE 17% FY25: ROE 18%, ROCE 14% Returns falling = Business quality deteriorating OR Competition increasing OR Scale not helping My framework: Step 1: Check ROCE first (True operating efficiency) If ROCE >20% → Quality business If ROCE 15-20% → Decent If ROCE <15% → Average Step 2: Compare ROE vs ROCE If ROE much higher → Check debt levels If ROE ≈ ROCE → Clean business model Step 3: Track trend Both improving over 3-5 years = Moat strengthening Both declining = Competitive intensity rising Step 4: Compare vs peers Sector average ROCE 12%, your stock at 22% = Competitive advantage Where to find: Annual Report → Financial Highlights table Usually shows all three ratios with 5-year trend If not shown, calculate: Balance Sheet + P&L have all the numbers needed The hierarchy: For quality assessment: ROCE > ROE > ROA ROCE can't be gamed easily. ROE can be boosted by leverage. ROA varies too much by business model. Always start with ROCE. Research desk → katalystwealth.com

Sacheerome 3.6x capacity Expansion bet

Old lessons to pick multibagger stock

Market Cap : ₹ 137 Crores Stock down 50% from top ! Promoter Skin in the Game A small but meaningful development worth noting 👇 • 5,00,000 warrants converted into equity by promoters • Issue price: ₹200/share (₹10 FV + ₹190 premium) • Total capital infused: ₹7.5 Cr What stands out? Promoters have actually brought in cash and increased their stake. Post conversion impact: • Equity base expanded (1.79 Cr → 1.84 Cr shares) • Balance sheet gets stronger with fresh funds • Signals long-term confidence from the promoter group In smallcaps, promoter intent matters more than narratives. #SmallCaps #Investing #LNPR Dis : Not investment advice, just for educational purposes.

If you are a SME investor - Here’s a decent list to study by Akash bhai. Personally tracking: FlySBS Aviation Yash Highvoltage Oriana Power Sathlokhar Synergys Aimtron Electronics Alpex Solar Danish Power Rajesh Power Supreme Power Neetu Yoshi Afcom Holdings Airfloa Rail Prizor Viztech Vilas Transcore Monolithisch OSEL Devices No Recommendations. DYDD 👍

Qullamaggie on You Are Your Own Worst Enemy in Trading “Like I’m saying, you know, you are your own worst enemy. Not the stock market, not the tweets by politicians, or you know, this or that. You are your own worst enemy.”

Market Cap : ₹ 87 Crores Stock down 50% from the top !! Promoter Buys In.. Skyline Tele Media Services Limited (STMSL) — has just converted a portion of its warrant holdings into equity shares. Out of 2,00,00,000 warrants allotted in March 2026, STMSL exercised and converted 98,00,000 warrants into fully paid-up equity shares at ₹8.25/share (face value ₹2 + premium ₹6.25), paying the balance 75% subscription amount of ₹6.06 crore. Capital structure post-allotment: ∙Issued & paid-up capital: 19.79 Cr shares → 20.77 Cr shares ∙Promoter holding: 46.86% → 49.37% The remaining 1,02,00,000 warrants can be converted anytime up to September 18, 2027 (18 months from original allotment date). Promoter group is inching toward the 50% threshold. If remaining warrants are converted, promoter stake could approach 54%, signalling strong conviction in the business outlook. Dis : Views expressed are for informational purposes only. Not a buy/sell recommendation.

What I look in a company to invest- 1- Quality Promoters 2- Valued at discount at present and likely to be at a premium in coming years 3- Robust balance-sheet 4- Low working capital requirement, low or no debt 5- High growth in coming years 6- Low PEG ratio preferably less than one 7- Good chances of margin expansion 8- Good changes of re-rating 9- Preferably profit-earning and dividend paying companies 10- Low ROE/ROCE presently is acceptable provided it looks to cross 20%+ in coming years 11- Preferably leader in the sector/sub-sector in terms of revenue, cost, margins or brand. One or two points (except point number one) may be compromised as we rarely get everything in a single company.

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