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Story, Markets, Trading, Psychology
A brilliant book by on philosophy, statistics and finance, full of highly educative examples and anecdotes about the stock market. As the title suggests, the underlying theme is about how people repeatedly make the mistake of interpreting a random event as having a perceived cause.
An extraordinary book about stock markets by Benoit B. Mandelbrot, known as the Father of Fractals for his path-breaking work in fractal geometry (he, in fact, coined the word fractal). This book examines several market theories with the author commenting on where they work and fail, besides a simple presentation of evidence that fractals are also found in stock markets.
Investing, Value Investing
A concise book on valuation by Prof Aswath Damodaran - popularly known as the Dean of Valuation due to his expertise in that subject. This is just one of several books he has written, and is a great book for those who are in a hurry to learn the subject.
Peter Lynch is consistently described as a legend by the financial media. He attained fame after his phenomenal record as manager of the Magellan Fund at Fidelity Investments.
His most famous investment principle is invest in what you know popularising the economic concept of local knowledge.
One Up on Wall Street lays out Lynch's investment technique including chapters devoted to stock classifications, the two-minute drill, famous numbers, and designing a portfolio. (Excerpts from Wikipedia).
Thinking, Fast and Slow is a best-selling book published during 2011 by Nobel Memorial Prize in Economic Sciences laureate . It was the 2012 winner of the National Academies Communication Award for best creative work that helps the public understanding of topics of behavioral science, engineering and medicine (from WIkipedia).
Its relevance for investors is detailed well in the following article in TIME magazine :
Markets, Trading, Technical Analysis
The book has several price-based "indicators" which can be used to interpret the market's potential. Many of these will not be found in typical technical analysis books.
Investing, Technical Analysis
How to Make Money in Stocks book is considered to be a classic that introduces the CANSLIM strategy for investing, which basically combines price momentum and profit growth (plus a couple of somewhat subjective factors).
The author, William J. O'Neil, is an American entrepreneur, stockbroker and writer, who founded the stock brokerage firm William O'Neil & Co. Inc in 1963 and the business newspaper Investor's Business Daily in 1983.
A good book to learn all the relevant methods of technical analysis, and one which does not attempt to push any particular indicator or process. Well-written, with credible examples and illustrations.
Trading, Technical Analysis
A very well-written and thorough book on the components, design, testing and execution of trading systems.
A Random Walk Down Wall Street, written by , a Princeton economist, is a book on markets which popularised the random walk hypothesis. Malkiel argues that asset prices typically exhibit signs of a random walk and that one cannot consistently outperform market averages. The book is frequently cited by those in favor of the efficient-market hypothesis. As of 2020, there have been twelve editions and over 1.5 million copies sold (from Wikipedia)
Markets, Trading, Psychology
A very well-written book which looks at trading from a psychological perspective, and provides logical solutions to the common problems most traders face.
Markets, Investing, Trading
Martin Zweig was an American stock investor, investment adviser, and financial analyst. According to Forbes magazine, he was renowned for his "eccentric and lavish lifestyle" as well as having had the most expensive residence in the United States at the time, atop The Pierre on Fifth avenue in Manhattan. His particular investing methodology was based on selecting growth stocks that also have certain value characteristics, through a system that uses both fundamental analysis and market timing (Wikipedia).
This book is considered to be an investment classic, covering bull and bear markets, stocks and bonds, the Fed, interest rates, macro factors, monetary models, momentum - virtually all the factors that can go into making investment strategies. Considerable numeric evidence is also provided.
Derivatives, Investing, Portfolio Analysis, Software, Technical Analysis, Trading
This book by covers an entire gamut of trading and investment tools including portfolio theory, option trading formulae, bond pricing and even some technical analysis. These are quite well explained, and written from a programming point of view.
Portfolio Analysis, Software
Python for Finance has several examples of coding of market applications, and is an excellent read for anyone pursuing that path. After an introduction to python, the book is full with snippets of code which solve several finance problems - ranging from momentum investing to options.