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Stock Market Intelligence : Investing Made Easy
by Jeff Luke




Overview -

Does the stock market seem random? This book will show you an organized plan of attack to help you make sense of it You will learn the only 5 questions you need to ask before buying any stock. Free of complicated jargon, this is an excellent book, especially for beginners.

This book teaches you an outstanding investing mindset that will help you invest in stocks like Airbnb, Amazon, Apple, Disney, Google, Microsoft, Square, Tesla, and Zoom. This book teaches you a stock selection filter that shows you if a stock makes sense.

This new edition for 2021 reads more smoothly. Typos from the last edition are corrected, and everything has been organized to make this book easy to follow. Have you ever felt stuck with trying to pick stocks in today's fast growing tech companies? This book teaches you the 5 investing filters you need in your toolkit before you invest in stocks.

The simple PALMS filter you will learn about adapts Benjamin Graham and Warren Buffett's approaches to finding value and applies it to fast-growing companies. You need new tools for our modern times - You see, "The Intelligent Investor" and Warren Buffett's application of value investing were enormously successful but this was before the Internet existed.

Today's tech companies change rapidly. This book draws from the best ideas of Buffett, Graham, Peter Lynch, Charlie Munger and others wise investors. These updated tools bring a minimalist approach to investing and provide you with a decision-making edge. This book's simple set of filters are surprisingly easy to use, whether you're a beginner or a professional.

Learn to use the 5 investing filters - questions you must ask before you buy any stock. Whether you're a professional or a new investor, this books gives you useful tips and strategies you can apply to any stock you're thinking of buying.

You may be thinking of buying stocks in companies like Amazon, NVIDIA, Tesla, Tencent, Disney, Nio, GE, Ford, Pfizer, Moderna, Snap, Alphabet, Alibaba, Microsoft, Berkshire Hathaway, Palantir, Airbnb, Virgin Galactic, and Nike. How do you know if they make sense? How do you know if you should say "no" to a stock?

You must have a system to decide if a stock makes sense as an investment, but it's hard to know without a good filter. This book teaches you 5 simple questions to ask, and takes into account your own personal understanding to help you make intelligent decisions. It even teaches you the "high-quality" and "high velocity" decision-making strategy that Jeff Bezos uses with his executive leadership team at Amazon, and it shows you how to apply it to your own stock decisions.

You will gain investing superpowers using these 5 simple filters. Invest in yourself and your future.

Make Stock Market Intelligence an essential part of your investing toolkit.

Learn the smart way to pick great stocks. You got this.

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More About Stock Market Intelligence by Jeff Luke

 
 
 

Overview

Does the stock market seem random? This book will show you an organized plan of attack to help you make sense of it You will learn the only 5 questions you need to ask before buying any stock. Free of complicated jargon, this is an excellent book, especially for beginners.

This book teaches you an outstanding investing mindset that will help you invest in stocks like Airbnb, Amazon, Apple, Disney, Google, Microsoft, Square, Tesla, and Zoom. This book teaches you a stock selection filter that shows you if a stock makes sense.

This new edition for 2021 reads more smoothly. Typos from the last edition are corrected, and everything has been organized to make this book easy to follow. Have you ever felt stuck with trying to pick stocks in today's fast growing tech companies? This book teaches you the 5 investing filters you need in your toolkit before you invest in stocks.

The simple PALMS filter you will learn about adapts Benjamin Graham and Warren Buffett's approaches to finding value and applies it to fast-growing companies. You need new tools for our modern times - You see, "The Intelligent Investor" and Warren Buffett's application of value investing were enormously successful but this was before the Internet existed.

Today's tech companies change rapidly. This book draws from the best ideas of Buffett, Graham, Peter Lynch, Charlie Munger and others wise investors. These updated tools bring a minimalist approach to investing and provide you with a decision-making edge. This book's simple set of filters are surprisingly easy to use, whether you're a beginner or a professional.

Learn to use the 5 investing filters - questions you must ask before you buy any stock. Whether you're a professional or a new investor, this books gives you useful tips and strategies you can apply to any stock you're thinking of buying.

You may be thinking of buying stocks in companies like Amazon, NVIDIA, Tesla, Tencent, Disney, Nio, GE, Ford, Pfizer, Moderna, Snap, Alphabet, Alibaba, Microsoft, Berkshire Hathaway, Palantir, Airbnb, Virgin Galactic, and Nike. How do you know if they make sense? How do you know if you should say "no" to a stock?

You must have a system to decide if a stock makes sense as an investment, but it's hard to know without a good filter. This book teaches you 5 simple questions to ask, and takes into account your own personal understanding to help you make intelligent decisions. It even teaches you the "high-quality" and "high velocity" decision-making strategy that Jeff Bezos uses with his executive leadership team at Amazon, and it shows you how to apply it to your own stock decisions.

You will gain investing superpowers using these 5 simple filters. Invest in yourself and your future.

Make Stock Market Intelligence an essential part of your investing toolkit.

Learn the smart way to pick great stocks. You got this.



This item is Non-Returnable.

 

Details

  • ISBN-13: 9781976928345
  • ISBN-10: 1976928346
  • Publisher: Independently Published
  • Publish Date: March 2018
  • Page Count: 302
  • Dimensions: 9 x 6 x 0.63 inches
  • Shipping Weight: 0.89 pounds


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