Indrajith Arjunan retweeted
Financial analysis is not just about reading numbers. A good analyst needs to understand what those numbers are actually telling you. Some key concepts every analyst should know: 🔹 Margin Bridge 🔹 Operating Leverage 🔹 Break-even Analysis 🔹 ROIC vs WACC 🔹 DuPont Analysis 🔹 Quality of Earnings 🔹 Debt & Leverage 🔹 Valuation Multiples 🔹 Sensitivity Analysis The goal is simple: Understand the business. Question the numbers. Think like an analyst. Want to learn more, Get this much detailed guide for Free Here lnkd.in/dkdUSCBr
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this is the most DANGEROUS thing on internet today. fundamentals + technicals - this complete framework combines macroeconomics, volume profile, probability, and key levels to understand how markets actually move. here is how to combine fundamentals and technicals to build a trading edge: 1. identify the fundamental drivers moving the market, from inflation and interest rates to central bank decisions and liquidity 2. track CPI, NFP, GDP, and other major economic releases to understand how surprises affect Gold, indices, and other assets 3. learn how to interpret CPI outcomes for Gold: higher-than-expected CPI can be bearish for Gold, while lower-than-expected CPI can be bullish, depending on market expectations and the broader context 4. use technical analysis to identify trends, breakouts, support, resistance, and potential entry points 5. analyze volume and volume profile to identify the Point of Control, Value Area High, Value Area Low, and important trading zones 6. combine fundamental bias, technical confirmation, volume, and key levels to identify higher-probability trading opportunities 7. build a probability-based approach by testing setups, analyzing historical performance, and measuring risk-to-reward and drawdowns 8. bring everything together into one trading framework that helps you understand WHAT to trade, WHEN to trade, and WHERE to enter i won't say anything more:
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Indrajith Arjunan retweeted
you can now point an agent at X and have it read the whole platform for you, nonstop Grok Bot can now search, read and monitor X on its own so the part that used to eat your morning becomes a standing order you write once here're six of them worth running: > an outlier scout that hands you tonight's best hooks > a mention digest that sorts every post about you by urgency > a launch monitor that catches a competitor's move early > a lead finder that brings people asking for what you sell > a thread recap that keeps the claims, drops the applause > a follow up keeper that lists everyone who went quiet each one is a prompt and a schedule, and it runs while you're asleep the full prompts are on the image
Grok Bot can now search, read, and monitor X.
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Indrajith Arjunan retweeted
“Take profits, not screenshots.” A lot of you seemed to like this “quote” I shared yesterday, but I want to add some context because I don’t want the message to be misunderstood. First of all, I know it sounds like a meme. But it’s far from that. It’s a simple “trick” that can literally save your ass when the time comes. So take it seriously. Also, let me clarify one thing: I’m not telling you to start taking massive profits right now. That would make absolutely no sense. This was a reminder for the future. Because if we eventually get the insanely bullish phase we’ve been waiting for, things are going to move extremely fast. Some altcoins could reach ridiculous valuations almost overnight. We just saw a glimpse of that with $QNT. And when that starts happening across the broader market, you need to already know what you’re going to do. You need to have a detailed plan. Right now, most of the altcoins on my watchlist are still sitting inside the same accumulation ranges they’ve been trapped in for years (or have barely just broken out of them). Many are still 80%+ below their previous ATHs. So no, I’m not telling you to randomly one-clip your bags at depressed valuations just because they printed a couple of green candles after the apocalypse. I’m simply reminding you to have a plan before you need one. Because most people don’t. They spend months (in this case, even years) researching and accumulating their favorite assets. Then one day, those assets finally go parabolic. Their portfolio starts printing numbers they’ve never seen before. And suddenly, emotions take over and “take profits” doesn’t even cross their mind. “This will go higher.” “I’ll sell at the top.” “One more 2x.” “I’ve waited three years for this PA. Why would I sell now?” Then the music stops. The market turns aggressively. They hesitate. They convince themselves it’ll come back. They keep waiting. And eventually, they round-trip a life-changing amount of unrealized profit. I know because I did exactly that in 2021. I made so much money on paper, so quickly, that I basically became “paralyzed” by it. I was too focused on how much more I could make to appreciate how much I had already made. Why take profits now when everything could go higher? Why sell here when I could perfectly time the top? The problem is: You won’t. Almost nobody does. And that’s the lesson I want you to learn from my mistake. If we get the market we’ve been waiting for (currently a lot of signs seem to be pointing in that direction) and your positions start breaking level after level, there is absolutely nothing wrong with selling portions into strength. It doesn’t make you a “paper hand.” It doesn’t mean you’ve lost conviction. And it doesn’t mean you need to sell everything. You can sell 10% and let 90% run. Sell another portion higher. Recover your initial investment. Take enough out to materially improve your life. Keep a long-term bag untouched. Whatever fits your situation. There is no universal exit strategy. But there should be a strategy. And ideally, you build it before greed, euphoria, and life-changing numbers start influencing your decisions. Then, when the time comes, you execute it no matter what. Because remember why we’re here in the first place. To make money. Until you realize some of those gains, they’re still just pixels on a screen. Your portfolio saying +$10,000, +$20,000, +$50,000 or +$100,000 doesn’t change your life. A screenshot of your portfolio ATH doesn’t change your life. The money you actually take out can. So if the bull market we’ve been waiting for finally comes, enjoy every fucking second of it. Let your winners run. Make a fuck ton of money. Stay exposed to the upside you’ve spent years positioning for. Just don’t become so obsessed with squeezing every last dollar out of the market that you eventually give everything back.
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Liquidity Ratios
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30 Grokbot Prompts
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How APIs works.
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Indrajith Arjunan retweeted
AI agents are easy to demo. Production is harder. A production-ready agent needs much more than an LLM connected to a few tools. It needs a workflow that can plan, act, validate, recover, and escalate safely. A strong end-to-end flow looks like this: → Capture the user request and intent → Authenticate the user and run safety checks → Decide whether the request is allowed → Plan the task and break it into clear steps → Retrieve context from memory, RAG, vector databases, or knowledge bases → Decide whether a tool is needed → Select the right tool and verify permissions → Execute the action and observe the result → Validate accuracy, safety, and output quality → Re-plan or retry when the result fails → Escalate risky or ambiguous actions to a human → Generate the final response → Log feedback, metrics, and outcomes for improvement The important part is what surrounds the core loop. Monitoring and tracing make behavior visible. Audit logs support governance and compliance. Rate limits control abuse and cost. Secrets management protects credentials. Privacy policies define what data can be stored. Model and prompt guardrails reduce unsafe behavior. Incident handling helps teams respond when something breaks. That is the difference between an agent that works in a demo and an agent you can trust in production. The goal is not maximum autonomy. It is controlled autonomy with clear permissions, validation, observability, and human oversight. Which layer do you think teams underestimate most when moving AI agents into production?
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Indrajith Arjunan retweeted
Why did Constellation open a European entity? Benjamin Diggles answered that himself while walking through the GPS integrity demo: "We got a patent filed for our solution for GPS integrity and we've been working with some of the largest names in the world on this all across the world. This is why we incorporated Constellation EU last year so we could open up our books to many of the folks in the European Union that are interested in this as well." What we know: • Diggles says GPS spoofing is up 68% year over year as wars drive more of it • Constellation has filed a patent for its GPS integrity solution • The live demo follows a JFK to Heathrow flight through jamming and spoofing scenarios, with each GNSS reading checked and recorded on chain • Kinnami, an Iron SPIDR partner, was one of 15 companies picked from more than 2,600 proposals for Phase 2 of NATO's DIANA defense accelerator, and one of only three from the U.S So around the time Constellation formed an EU entity for GPS integrity, one of its Iron SPIDR partners started working directly with NATO stakeholders. $DAG
A destroyed satellite is a problem. A satellite that lies is a bigger one. Secure World Foundation's 2026 Global Counterspace Capabilities report finds that of everything nations have built to attack satellites "only non-destructive capabilities are actively being used" Jamming, spoofing and hacking The Space Force's Lt. Gen. Stephen Whiting called cybersecurity "the soft underbelly of these global space networks" Gen. David Thompson said U.S. satellites face reversible attacks "every single day" Spoofing is the dangerous one When a satellite is destroyed, everyone knows When a GPS signal is faked, the receiver still trusts what it sees The report documents GNSS spoofing across the Baltic, including "circle spoofing" that hit aviation Constellation has already demonstrated an answer In a live GPS spoofing detection demo, each position reading was run through a set of spoofing checks When too many indicators tripped, the system flagged the reading as degraded and the result was fingerprinted to Digital Evidence so it can't be quietly changed later It's built on the open-source Digital Evidence SDK The next fight in space is less about who has the most satellites and more about whose data can be trusted
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Indrajith Arjunan retweeted
Most people use EBITDA to answer 'is this company profitable?' That's the wrong use. It's built for comparing operating performance across companies, not for understanding real cash flow.
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Indrajith Arjunan retweeted
Learn a skill here for free. Cybersecurity drive.google.com/drive/mobil…… UI/UX Design drive.google.com/drive/mobil…… AI Automation drive.google.com/drive/u/0/f…… AI Video Creation drive.google.com/drive/mobil…… Video Editing with CapCut drive.google.com/drive/mobil… Repost/bookmark and get to work
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RT @PravinTiwariX: Invest or prepay? Every finfluencer has an answer. None of them have seen your loan. Your rate, your balance, your ten…
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Indrajith Arjunan retweeted
50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) dataroma.com → Current portfolios of famous investors 2.) whalewisdom.com → Quarterly fund trades 3.) capitoltrades.com → Stock transactions of US politicians 4.) openinsider.com → Executives' own company stocks 5.) 13f.info → Making fund filings readable 6.) sec.gov/edgar → Companies' official reports 7.) berkshirehathaway.com → Buffett's letters since 1977 8.) buffett.cnbc.com → Video archive of Buffett meetings 9.) oaktreecapital.com → Howard Marks' investor memos 10.) bridgewater.com → Research from Ray Dalio's firm 11.) principles.com → Dalio's principles for free 12.) gmo.com → Jeremy Grantham's market notes 13.) aqr.com → Quantitative fund research 14.) pages.stern.nyu.edu/~adamoda… → Damodaran's valuation data 15.) aswathdamodaran.blogspot.com → Valuation professor's blog 16.) collabfund.com/blog → Morgan Housel's money writings 17.) fs.blog → Mental models for decision-making 18.) am.jpmorgan.com → JPMorgan's free market guide 19.) ark-invest.com/research → Innovation-focused fund research 20.) a16z.com → Venture capital essays 21.) csinvesting.org → Value investing lecture notes 22.) gsb.columbia.edu/valueinvest… → Columbia's value investing archive 23.) fred.stlouisfed.org → Fed's economic data archive 24.) federalreserve.gov → Fed decisions and statements 25.) ecb.europa.eu → European Central Bank data 26.) bis.org → Reports from the central bank of central banks 27.) tradingeconomics.com → Countries' economic indicators 28.) macrotrends.net → Companies' long-term charts 29.) stockanalysis.com → Company financials for free 30.) companiesmarketcap.com → Companies' market cap rankings 31.) finviz.com → Stock screener and heat map 32.) portfoliovisualizer.com → Portfolio backtesting 33.) tradingview.com → Charts and market analysis 34.) koyfin.com → Professional market screener 35.) annualreports.com → Company activity reports archive 36.) investor.gov → SEC's investor education site 37.) bogleheads.org/wiki → Passive investing encyclopedia 38.) investopedia.com → Financial terms dictionary 39.) corporatefinanceinstitute.co… → Free finance guides 40.) cfainstitute.org → CFA research publications 41.) morningstar.com → Fund and stock evaluations 42.) simplywall.st → Companies' visual analysis 43.) valueinvestorsclub.com → Archive of selected investment theses 44.) etfdb.com → Seeing what's inside funds 45.) curvo.eu → European fund backtests 46.) ofdollarsanddata.com → Investment writings with data 47.) awealthofcommonsense.com → Market history notes 48.) theirrelevantinvestor.com → Investor psychology writings 49.) visualcapitalist.com → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @monicaa_AI you'll need it. Not investment advice.
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How to rebuild your masculine energy Low energy. Weak body. No confidence. Most men today are slowly losing their masculinity. Fix it with these 7 steps... 1. Keep your testicles cool
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Indrajith Arjunan retweeted
Financial Modeling Handbook 1. Why is Financial Modeling Important? 2. Types of Financial Models 3. Financial Statement Anatomy 4. Top 10 Excel Functions You Should Know in Financial Modeling 5. The Income Statement Guide 6. The Balance Sheet Guide 7. The Cash Flow Statement Guide 8. The Ultimate Budgeting Guide 9. Inventory Valuation Methods 10. Depreciation Methods 11. Financial Ratios 12. What is beta? 13. Options Pricing 14. Top Finance KPIs 15. Accounting vs Finance 16. EBIT vs EBITDA 17. Company Valuation Methods 18. Top Finance Certifications 19. 17 Financial Modeling Tips & Tricks 20. Excel Shortcuts Cheatsheet 21. Typical Excel Mistakes When Building a Financial Model
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Indrajith Arjunan retweeted
$ZEC is just the beginning. The real opportunity might be much bigger than one coin. I mapped out 26 top projects across 9 categories with massive potential. The Privacy Landscape 👇 $XMR - @monero $ZANO - @zano_project $FIRO - @firoorg solana:5u83eeMKS5drqAdchhJQeUpt7x4DNaU7ZBnaMZjUpump - @PirateChain $PIVX - @_PIVX Optional Privacy & Payments: $DASH - @Dashpay $LTC - @litecoin decred:native - @decredproject $XVG - @vergecurrency Private Stablecoins: $ZEPH - @zephyr_org Private DeFi: $RAIL - @RAILGUN_Project Privacy Payments & Tools: solana:BBKPiLM9KjdJW7oQSKt99RVWcZdhF6sEHRKnwqeBGHST - @GhostWareOS Confidential Blockchains: oasis-network:native - @OasisProtocol aleo:native - @AleoHQ dusk-network:native - @DuskFoundation midnight-3:native - @MidnightNtwrk base:0xf43eb8de897fbc7f2502483b2bef7bb9ea179229 - @horizenglobal $XEL - @xelis_project Encrypted Computation: ethereum:0xa12cc123ba206d4031d1c7f6223d1c2ec249f4f3 - @zama $ARX - @Arcium ethereum:0x7cf9a80db3b29ee8efe3710aadb7b95270572d47 - @nillion ethereum:0xddb3422497e61e13543bea06989c0789117555c5 - @COTInetwork Network Privacy: $ANYONE - @AnyoneFDN ZK Infrastructure: $MINA - @MinaProtocol base:0x9b5e262cf9bb04869ab40b19af91d2dc85761722 - @nockchain Bookmark this! The privacy narrative is worth keeping an eye on.
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Trillions in stocks will be tokenized. 440+ assets onchain, with more to come.
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A complete thread of tokens we are bullish on and we have covered in the past 🧵 $NEAR : Layer 1 $AERO : DeFi $GEOD : Physical AI $INJ : Layer 1 $SYRUP : DeFi $ANYONE : Privacy $ENA : DeFi
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🚨 2026-2027 BULL RUN ROADMAP September → Relief Rally October → Final Dump November → Recovery December → Euphoria January → Altcoin Season February → Bitcoin ATH March → Distribution April → Anxiety May → Liquidation June → Bear Market Save this chart and compare it later. Keep in mind: I publicly called Bitcoin’s $17K bottom in 2022. Then I publicly called the $126K top in 2025. My next public call will be posted here first. Follow and turn on notifications.
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