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Business, Finance & Law      Professional Finance

Manual of Investments: Industrials Sector: 3

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Book Details
Language
English
Publishers
Independently published (17 Jun. 2024)
Weight
1.02 KG
Publication Date
17/06/2024
Pages
442 pages
ISBN-13
9798328670623
Dimensions
21.59 x 2.54 x 27.94 cm
SKU
9798328670623
Author Name
Market Inference (Author)
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A must-have for stock pickers, the Market Inference Manual of Investments gives you all the essential facts and figures of the world’s companies at your fingertips. Spanning companies from the Industrials Sector that trade in on U.

S. exchanges, this selection is presented in a clear and easy-to-use format that allows readers to quickly determine whether a company fits their investment profile.

Each company overview covers: * Highlights from the firm's most recent annual report * Valuation and pricing relative to the company's industry / sector * Factors that correlate with the business’s growth momentum * Market sentiment indicators * The firm’s latest simplified cash flow statement, income statement, and balance sheet We've also included a primer on the fundamentals of value investing, a proven method for finding winning stocks before they make big gains. Market Inference brings the teachings of Ben Graham, Warren Buffet, Peter Lynch, and more into the 21st Century through a rigorous and evidence-based system of equity data analysis that can help investors sift through the noise of the financial entertainment complex.

The Market Inference Score™ system is explained in detail, giving the reader an understanding of why some companies have received the Quality Pick distinction. Screening for companies on the basis of quantitative factors is widely regarded as the first step of a sound stock picking program, which will enable you to focus your attention on researching companies that are worth your time.

Our data is sourced directly from the United States Securities and Exchange Commission (SEC) and is checked for accuracy through state-of-the art machine learning methods before passing a manual review by our data analysts. .

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