The stock market is a wild and scary roller coaster ride that investors have tried to tame with superficially appealing but ultimately flawed strategiestechnical analysis, modern portfolio theory, CAPM, factor models, and algos. Many have simply given up and settled for indexing. This book explains the fundamental flaws that make so many strategies hazardous to our wealth.

There is a better waywhat the authors call Investing 6.0that is simple enough for anyone to use. No fancy math, complicated computer algorithms, or long days are required. This book offers a strategy with a few key principles that all investors and the financial advisors and planners who serve them can use with ease

Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He has written (or co-authored) more than 100 academic papers and 16 books, most recently, Distrust: Big Data, Data-Torturing, and the Assault on Science. His book, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, was a London Times Book of the Week. The 9 Pitfalls of Data Science, coauthored with Jay Cordes, won the 2020 PROSE Award for Popular Science and Popular Mathematics.

Margaret Smith is a Certified Financial Planner, Certified Coach, Enneagram Professional, and Author. She earned a simultaneous BA/MA Summa Cum Laude in Economics from Yale, a PhD in Business Economics from Harvard University, and was an Economics Professor for a decade. Her book, Money: From Fear to Love, is the first to relate the nine Enneagram personality types to money, and is the basis for workshops given around the world. 

Introduction.- 1. Investing 1.0 Blind Faith and Speculation.- 2. Investing 2.0 Intrinsic Value.- 3. Investing 3.0 Measuring Risk.- 4. Investing 4.0 Efficient Markets and Indexing.- 5. Investing 5.0 Factor Models and Algorithms.- 6. Investing 6.0 Real Value and Real Risk.- 7. A Case Study.- 8. The 9 Pitfalls of Investing.