Trend Following Mindset brings to life the timeless conversations between Tom Basso and Michael Covel originally featured on Michael's renowned Trend Following podcast. In these profound and enlightening exchanges, Tom shares with Michael his deep wisdom on trading, business, life, and the how and why of his mindset. Tom Basso, dubbed Mr. Serenity by Jack Schwager, is one of the most experienced and knowledgeable trend-following traders in the world today-a trading legend who lives life to the fullest. Tom's most important trend following research papers are presented together for the first time, delivering a treasure trove of trading insights. Michael also pulls from Tom his perspective on: How to get started in trading; What trend following is, and how and why it works so well; Constructing your trading system; Position sizing and account management; The work-life balance of a trader; The transition from independent trader to professional money manager; and so much more. Trend Following Mindset will teach you the mindset of one of the great trend followers. Most important of all, it will show you how to do as Tom does ... and enjoy the ride.

Michael Covel's Trend Following podcast has delivered millions of listens across 80+ countries for over a decade. On the podcast, Michael invites you to take a seat next to him as he interviews the world's top experts in investor psychology. Encouraged by Michael's skilled and knowledgeable questions, legendary guests reveal the best of their wisdom, guidance, and ideas to help you manage your trading mindset. It is the ultimate mentorship circle serving one goal: To give everyone the chance to learn how to profit in the markets. This second volume of Trend Following Masters features Michael's conversations with great psychologists and behavioral scientists, including: Annie Duke, Alexander Elder, Van Tharp, Denise Shull, Daniel Crosby, Daniel Kahneman, Charles Faulkner, Gerd Gigerenzer, Brett Steenbarger, Philip Tetlock, K. Anders Ericsson, Alison Gopnik. If you aspire to be a Trend Following Masters, this collection of insightful interviews is an essential addition to your trading library.

Michael Covel's Trend Following podcast has delivered millions of listens across 80+ countries for over a decade. On the podcast, Michael invites you to take a seat next to him as he interviews the world's top traders. Encouraged by Michael's skilled and knowledgeable questions, legendary guests reveal the best of their wisdom, strategies, guidance, and trading stories. It is the ultimate mentorship circle serving one goal: To give everyone the chance to learn how to profit in the markets. This first volume of Trend Following Masters features Michael's conversations with great trend following traders, including: Bill Dreiss, Harold de Boer, Jerry Parker, Tom Basso, Larry Hite, Martin Bergin, Niels Kaastrup-Larsen, Eric Crittenden, Donald Wieczorek, and Robert Carver. If you aspire to be a Trend Following Master, this collection of amazing interviews is an essential addition to your trading library.

An empowering story of learning from life's challenges-with critical insights, strategies, and lessons you can take to the bank In The Probability of Life, Larry Hite tells how he went from dyslexia, partial blindness, and isolation to the founder of Mint, one of the most profitable and largest quantitative hedge funds in the world. Larry's journey presents invaluable lessons gained primarily from failure and those failures seen across humorous stories are packed with timeless investing wisdom. These are the exact lessons that propelled Hite to the top of the investing world. Hite's wisdom gained from a life as an investor comes through on every page. He shows that investing decisions are not only bets or gambles, but investments in time, energy, and attention. By focusing on realistic returns on these investments, versus what we expect or hope to get, we immediately improve our probability for success.

Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context Implement Python source code to explore and develop your own investment strategy Test your trading strategies to limit risk and increase profits Book DescriptionIf you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets under management. This book will help you demystify and hone the short selling craft, providing Python source code to construct a robust long/short portfolio. It discusses fundamental and advanced trading concepts from the perspective of a veteran short seller. This book will take you on a journey from an idea ("buy bullish stocks, sell bearish ones") to becoming part of the elite club of long/short hedge fund algorithmic traders. You'll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you'll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns. By the end of this book, you'll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive. What you will learn Develop the mindset required to win the infinite, complex, random game called the stock market Demystify short selling in order to generate alpa in bull, bear, and sideways markets Generate ideas consistently on both sides of the portfolio Implement Python source code to engineer a statistically robust trading edge Develop superior risk management habits Build a long/short product that investors will find appealing Who this book is forThis is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors. At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected.