Review The Research Driven Investor: How to Use Information, Data and Analysis for Investment Success
by TIMOTHY HAYES
Description
This book provides a variety of examples of investment models that will help regular investors profit in the market and become at par with professional traders. It presents 100 years of stock market data and research from the Ned Davis Research, which Hayes uses to illustrate how readers can develop a stock market outlook, create an investment strategy, and more.
Timothy Hayes discusses stock market data in a clear and detailed manner, allowing readers to get information and techniques to apply on stock trading. He illustrates how to build market models and investment strategies that work.
Hayes showcases his skills in market data research and shows to the readers how they can achieve competitive strategies, too. He shows regular investors how to create models that can combat the effectivity of professional traders’.
About the Author
TIMOTHY HAYES works as a global equity strategist for Ned Davis Research. He is the writer of the weekly International Focus, Stock Selection Focus, and other publications. He is a chartered market technician and wrote for many financial periodicals, such as the Market Technicians Association Journal. He has been awarded the Charles H. Dow Award for his groundbreaking research on technical analysis.
Table of Contents
ACKNOWLEDGMENTS
Introduction
PART ONE: THE OPTIMAL STRATEGY FOR STOCK MARKET PROFITS
Chapter 1: Thinking Big—The Top-Down Approach
Chapter 2: Gathering the Information and Getting Started
PART TWO: DEVELOPING A VIEW OF WHERE THE MARKET IS HEADING
Chapter 3: How Stock Market Indicators Can Help You
Chapter 4: Developing Indicators
Chapter 5: Trend-Sensitive Indicators
Chapter 6: Valuation and Long-Term Sentiment
Chapter 7: Short-Term Sentiment
Chapter 8 Monetary and Economic Indicators
PART THREE: WHAT TO DO WITH YOUR MARKET VIEW
Chapter 9: Maximizing Your Returns through Effective Asset Allocation
Chapter 10: Screening to Enhance Your Buy and Sell Decisions
Chapter 11: Current Applications, Long-Term Implications
INDEX
