Vv research (8 Ergebnisse)

Zustand: Nuevo. 3.chino de hoy.(cuad.ejercicios) editado por Hanban.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - A systematic, evidence-first framework for equity research using generative AI. Every stock analysis you've read ends with an answer. None of them show you the working.That's the problem. A recommendation hands you the risk without the reasoning - so when the story changes, you have no way of knowing.This book gives you the opposite: a complete, repeatable system for researching any listed company yourself, using AI to do the legwork while the judgement stays with you.Fifteen prompts. One chain. Each output feeds the next.Most AI-investing books hand you a pile of disconnected prompts. This one is a sequence. The category growth rate you establish in Screen 5 becomes the anchor for your earnings forecast. The moat grade from Screen 7 decides how fast that forecast fades. By the end you hold a complete research file, not fifteen unrelated answers.You'll learn to: - Interrogate any business from seven angles before forecasting a single dollar- Catch the accounting aggression most investors miss - with tests that take ten minutes- Build an earnings forecast year by year, where every number has a reason you can defend- Apply valuation mechanics fixed in advance, so you can't bend the answer toward what you hoped for- Spot when the AI is fabricating - and verify the handful of figures that actually matter- Know in advance what would prove you wrong, and watch for itBuilt for any market, any business type. Prompts route themselves: a bank gets asked about provision coverage and capital adequacy; a capital-goods company about order intake and book-to-bill. Filing equivalents are included for the US, UK, EU, Japan, India and Australia. Works at any holding period from three years up.Every chapter has the same five parts: what the prompt does, the copy-paste prompt itself, a line-by-line anatomy explaining why each instruction exists, an annotated specimen output, and a verification block telling you exactly what to check yourself.One warning. This book contains no stock tips, no buy or sell calls, and no target prices - not one, anywhere. If you want names to buy, close this page. If you want to stop borrowing other people's conclusions and start building your own, start here.AI models fabricate financial figures confidently and without warning. This book treats that as a design constraint, not a footnote. Equity investing carries the risk of permanent loss of capital. Educational content only; no investment advice or recommendation of any security.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - A systematic, evidence-first framework for equity research using generative AI. Twelve evidence-scored factors. One honest percentage. Comparing companies goes wrong in a familiar way. You study three of them, form an impression of each, and the impressions harden into a ranking before any rule for ranking has been stated. This book replaces the impression with twelve small decisions, each made against a threshold you write down before you read the evidence, and each tied to a quotable line in a primary document.Book Two of the Stock Research With AI series is a scoring protocol you run with an AI model that has live web search. Six factors describe the business (competitive intensity, growth tailwinds and headwinds, revenue concentration, market headroom, order book, growth runway). Six describe how it is priced (growth-adjusted PEG, P/E against its own history and against peers, price-to-book, dividend yield and capital return, and a quality-haircut PEG). A chain of nineteen prompts scores each factor, and every prompt chapter shows why each instruction is worded as it is, a worked specimen output and a mandatory verification block.What you will learn to doThe reference section includes a book of thirty-three rulings for edge cases, a worked case in which the protocol declines to score, templates, and the complete evidence file for the worked example, which scores four invented companies from invented documents.What this book is notIt contains no stock tips, no buy or sell calls, no model portfolio and no ranking of real companies. A score here is a position on a fixed scale, not a forecast, a fair-value estimate or a recommendation. The book is educational and is not investment advice. AI models can fabricate figures with complete confidence, so every number must be verified against a primary source, and the book builds that habit into every chapter.Book Two of Three in the VV Research AI Investing Series. It is designed to follow Book One, The Seven-Screen Prompt System, whose research files it draws on.Fix the rules of comparison in a lock sheet before you see the answer- Tie every score to an evidence line you can check against a filing or transcript- Catch the false uniformity that AI models produce when asked to score- Run a blind independent re-read and resolve disagreements by evidence- Test how much of the final percentage survives a change in weighting- Roll a scorecard forward and separate price-driven change from evidence-driven change.…

Encuadernación de tapa blanda. Zustand: Muy bien. Idioma inglés. Ejemplar en muy buen estado. Dimensiones: 23x16 - 249 pp.

Hardcover. Zustand: Brand New. 1st edition. 672 pages. 9.50x6.50x1.75 inches. In Stock.