46 books like Cloud Charts

I came from a left-brained family, with my father a bank Forex manager and my mother in the tax office before motherhood. I've always been mathematically minded and went into mechanical engineering before my second career in trading and finance. But saying this sustains the fallacy that you have to have a head for numbers to trade. That is nothing like the truth, and I hope my last book pick shows that I have learnt and come a long way from my initial beliefs. Trading is anything but mathematical, mechanistic, or even natural, you have to study and learn new ways of thinking and doing, and you can only succeed if you are open to this.

I came from a left-brained family, with my father a bank Forex manager and my mother in the tax office before motherhood. I've always been mathematically minded and went into mechanical engineering before my second career in trading and finance. But saying this sustains the fallacy that you have to have a head for numbers to trade. That is nothing like the truth, and I hope my last book pick shows that I have learnt and come a long way from my initial beliefs. Trading is anything but mathematical, mechanistic, or even natural, you have to study and learn new ways of thinking and doing, and you can only succeed if you are open to this.

I came from a left-brained family, with my father a bank Forex manager and my mother in the tax office before motherhood. I've always been mathematically minded and went into mechanical engineering before my second career in trading and finance. But saying this sustains the fallacy that you have to have a head for numbers to trade. That is nothing like the truth, and I hope my last book pick shows that I have learnt and come a long way from my initial beliefs. Trading is anything but mathematical, mechanistic, or even natural, you have to study and learn new ways of thinking and doing, and you can only succeed if you are open to this.

I came from a left-brained family, with my father a bank Forex manager and my mother in the tax office before motherhood. I've always been mathematically minded and went into mechanical engineering before my second career in trading and finance. But saying this sustains the fallacy that you have to have a head for numbers to trade. That is nothing like the truth, and I hope my last book pick shows that I have learnt and come a long way from my initial beliefs. Trading is anything but mathematical, mechanistic, or even natural, you have to study and learn new ways of thinking and doing, and you can only succeed if you are open to this.

Economics isn't really a good starting point for financial market analysis for the simple reason that its models are wildly inaccurate. As behaviorial economists like Daniel Kahneman have been showing, irrationality and the inability to measure risk properly are a very big component of the investment and trading decisions. But statistical risk management is also sloppy when applied to human behavior because people are not objects that reliably behave the same way under similar circumstances. So when you read an economist about markets or an engineer about risk management, you're missing a lot of the story. In the end, technical analysis is fascinating because how and why humans behave is an enduring mystery.

I first fell in love with the markets when in 1995, I made more on 1 stock investment than I did working all winter in the freezing cold as a ski instructor. I see it as the world’s greatest game and it has given me a life of unparalleled freedom that I am eternally grateful for. Trading has allowed me to pursue my interests and go deep into behavioral psychology, economics, neurobiology, and would never have had the breakthroughs I have had like the Bottega method for AI or the Myalolipsis technique for developing effortless, unshakable self-discipline if I hadn’t been an active trader.

Mark Leibovit is Chief Market Strategist for Leibovit VR Newsletter. His technical expertise is in overall market timing and stock selection based upon his proprietary Volume Reversal (TM) methodology and Annual Forecast Model. Mark's extensive media television profile includes seven years as a consultant ‘Elf’ on Louis Rukeyser’s Wall Street Week television program, and over thirty years as a Market Monitor guest for PBS The Nightly Business Report. He also has appeared on Fox Business News, CNBC, BNN (Canada), and Bloomberg, and has been interviewed in Business Week, Forbes, and The Wall Street Journal. His comprehensive study on Volume Analysis, The Trader’s Book of Volume is a definitive guide to volume trading.

Having a master's degree in chemical engineering, I wasn't destined to work in the area of quantitative finance… the reason why I professionally moved to this discipline aren't worth exposing, but as a matter of fact, I've been quickly fascinated by this science, and encountered some of my favorites, such as maths and statistics, as used in the traditional activity of an engineer. And I had many opportunities of combining the knowledge and practice of financial markets with pragmatism, typically of the engineer’s education, i.e. oriented toward problem solving. In addition, I've always loved teaching, and writing books on financial markets & instruments, hence the importance I'm giving to pedagogy in professional books.

The stock market has been a passion of mine for over 15 years. These books have helped me learn how to spot trends and manage my risk while trading in stocks and cryptocurrencies through bull and bear markets. 

Economics isn't really a good starting point for financial market analysis for the simple reason that its models are wildly inaccurate. As behaviorial economists like Daniel Kahneman have been showing, irrationality and the inability to measure risk properly are a very big component of the investment and trading decisions. But statistical risk management is also sloppy when applied to human behavior because people are not objects that reliably behave the same way under similar circumstances. So when you read an economist about markets or an engineer about risk management, you're missing a lot of the story. In the end, technical analysis is fascinating because how and why humans behave is an enduring mystery.