Here are 67 books that Algorithmic and High-Frequency Trading fans have personally recommended if you like
Algorithmic and High-Frequency Trading.
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A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
I have used this book to teach my Financial Risk Analytics course at Northwestern University for many years. As a textbook, it is surprisingly easy to read, and the abundant exercises are great. This would be a foundational text to read after you have read my own books. It puts you on solid ground to understand all the financial babble that you may read elsewhere. It includes extensive coverage of most basic topics important to a serious quantitative trader, while not being overly mathematical. Easily understandable if you have basic programming and math background from first year of university.
Everything is practical in this book, which isn’t what you would expect from a textbook! There is no math for math’s sake. I have used the techniques discussed in this book for real trading, and for creating features at my machine learning SaaS predictnow.ai. Examples: What’s the difference between net…
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
As the book’s name suggests, it focuses on factor investing – i.e. long-term investments. Example: what do you think is the real (inflation-adjusted) return of the US stock vs bond markets over time? What is the best way to hedge inflation? (The answer may surprise you!)Nevertheless, a trader will also find inspiration in many of the market themes discussed. Example: Why is a mean-reverting strategy equivalent to shorting realized volatility?
This book has even less math than my 1st book pick, since Andrew Ang used it for his investment class for MBAs. Andrew was a well-known finance professor at Columbia University (where Warren Buffet got his Master’s). He is now Head of BlackRock (AUM=$9.5T!) Systematic Wealth Solutions. I have exchanged emails with him, and he is very friendly and patient with questions.
Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In his new book Asset Management: A Systematic Approach to Factor Investing, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent. Making investments is like eating a healthy diet, Ang says: you've got to look through the foods you eat to focus on the nutrients they contain. Failing…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
By now, you may notice that I like to recommend textbooks. I use this bestseller for my course in Financial Machine Learning at Northwestern University, but really, nobody interested in financial machine learning hasn’t read this book. The topics are highly relevant to every investor or trader – I read it at least 5 times to digest every nugget and have put them to very productive use in my trading as well as in my fintech firm predictnow.ai. It covers basic techniques such as random forest to advanced techniques such as Hierarchical Risk Parity, which is a big improvement over traditional portfolio optimization methods.
Marcos used to be Head of Machine Learning at AQR (AUM=$143B), and now is the Global Head of Quant Research at Abu Dhabi Investment Authority. He is also very approachable to his readers and students. There was seldom an email or message from me to which…
Learn to understand and implement the latest machine learning innovations to improve your investment performance
Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.
In the book, readers will learn how to:
Structure big data in a way that is amenable to ML algorithms
Conduct research with ML algorithms on big data
Use supercomputing methods and back test their discoveries while avoiding false positives
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
Disclaimer: I like Euan’s books not because he is a friend and has endorsed my books. Long before we became friends, I have bought his book, and said to myself “Wow! This is the first book about options trading that is not just a bunch of trite statements about payouts from various straddles and spreads positions!” It talks about some unique arbitrage opportunities that only professionals knew about. On the other hand, the amount of mathematics is very manageable, and can largely be skipped without affecting the practical applications of the concepts.
An A to Z options trading guide for the new millennium and the new economy Written by professional trader and quantitative analyst Euan Sinclair, Option Trading is a comprehensive guide to this discipline covering everything from historical background, contract types, and market structure to volatility measurement, forecasting, and hedging techniques. This comprehensive guide presents the detail and practical information that professional option traders need, whether they're using options to hedge, manage money, arbitrage, or engage in structured finance deals. It contains information essential to anyone in this field, including option pricing and price forecasting, the Greeks, implied volatility, volatility measurement…
I’ve been an independent investor for nearly 25 years. In my previous life as an employee, I was a research actuary for a firm of pension consultants, and then a university lecturer. I left my last academic job at the age of 35 because I had made enough money to survive, and freedom was worth more to me than a salary. FIRE (Financial Independence – Retire Early) is what it’s called these days, but with two differences. First, I’m not retired: I spend most of my time on investing, but entirely on my own terms. Second, and relatedly, I’m an active investor, albeit a cheap one, nearly as cheap as an index fund.
All investing is risk-taking, and this is the best book on risk-taking that I know. Not just risk-taking as mathematics or games (although both of those are important), but risk-taking as a philosophy of life.
I would pick out two main insights. First, risk is intrinsically neither good nor bad, it is just a dial you can turn up or down. Second, your aim should be neither to minimise nor maximise risk, but rather to take the right amount of risk, and so achieve what this book calls “risk ignition”.
One contextual caveat: the value I see here is a deep understanding of risk, not specific recipes.
An innovative guide that identifies what distinguishes the best financial risk takers from the rest
From 1987 to 1992, a small group of Wall Street quants invented an entirely new way of managing risk to maximize success: risk management for risk-takers. This is the secret that lets tiny quantitative edges create hedge fund billionaires, and defines the powerful modern global derivatives economy. The same practical techniques are still used today by risk-takers in finance as well as many other fields. Red-Blooded Risk examines this approach and offers valuable advice for the calculated risk-takers who need precise quantitative guidance that will…
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.
I have been teaching and mentoring traders since 1999. In that time I have seen over and over again that success comes from the ability to maintain discipline and withstand emotional discomfort.
Everybody wants to buy a system or strategy “that just works”. Well, as somebody who has developed many great strategies I can tell you this harsh truth… The best system in the world is worthless if you can’t follow its rules.
This is the core reason why over 90% of traders fail, lose money, and quit in disgust.
This book is one of the best I have found on the subject of trading discipline and mindset. If you are at all serious about your success in the market…start here!
Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the "probabilities" of market movement that governs all market speculation.
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.
This book is a classic and the best of the many books written by traders describing trading situations and what they did to conquer the market. Sperandeo delivers concise, specific definitions of how he defines and uses trends with some of the clearest charts you will ever see. I find myself going back to some of the same pages over the years in which he discusses how to tell if a trend is undergoing a correction or is an authentic reversal.
Trader Vic -- Methods of a Wall Street Master Investment strategies from the man Barron's calls "The Ultimate Wall Street Pro" "Victor Sperandeo is gifted with one of the finest minds I know. No wonder he's compiled such an amazing record of success as a money manager. Every investor can benefit from the wisdom he offers in his new book. Don't miss it!" --Paul Tudor Jones Tudor Investment Corporation "Here's a simple review in three steps: 1. Buy this book! 2. Read this book! 3. See step 2. For those who can't take a hint, Victor Sperandeo with T. Sullivan…
I’ve been an independent investor for nearly 25 years. In my previous life as an employee, I was a research actuary for a firm of pension consultants, and then a university lecturer. I left my last academic job at the age of 35 because I had made enough money to survive, and freedom was worth more to me than a salary. FIRE (Financial Independence – Retire Early) is what it’s called these days, but with two differences. First, I’m not retired: I spend most of my time on investing, but entirely on my own terms. Second, and relatedly, I’m an active investor, albeit a cheap one, nearly as cheap as an index fund.
This book comprises an edited compendium of investment reports from Marathon Investment Management, with three broad themes.
First, stock markets are about capitalism, not macroeconomics.
Second, successful investment requires an understanding of the relative size and composition of supply, demand, production, and consumption. You need to compare heterogeneity, fragmentation, and growth (positive or negative) on both sides of a company’s market.
Third, pay attention to the capital cycle. Seek out sectors from which investors’ capital and attention are being withdrawn, and be wary of sectors which are attracting increasing capital and attention.
We live in an age of serial asset bubbles and spectacular busts. Economists, policymakers, central bankers and most people in the financial world have been blindsided by these busts, while investors have lost trillions. Economists argue that bubbles can only be spotted after they burst and that market moves are unpredictable. Yet Marathon Asset Management, a London-based investment firm managing over $50 billion of assets has developed a relatively simple method for identifying and potentially avoiding them: follow the money, or rather the trail of investment. Bubbles whether they affect a whole economy or merely a single industry, tend to…
I have been trading for over 30 years now, and I was lucky to be one of the part-time “hobby” traders to be successful enough to trade full time. Along the way, I was a 3-time trophy winner in the world’s premier real time, real money futures trading contest. My passion is trading, both for my personal accounts and in assisting my students with their trading. While I always say “trading is the hardest way to make easy money” this field is my lifelong passion.
It is a shame the author of this book died in the 9/11 World Trade Center terrorist attack because I always wanted to hear more from him. As with most of the books on this list, for me the details of what he did (did he enter with moving averages? How did he apply stochastics to his entry signals? Etc.) are not nearly as important as his mental state of mind. What did he feel like losing $1 million? How did he recover mentally? For me, being a good trader involves dealing with losses, and this book does a superb job of detailing how one trader did just that.
Jim Paul's meteoric rise took him from a small town in Northern Kentucky to governor of the Chicago Mercantile Exchange, yet he lost it all-his fortune, his reputation, and his job-in one fatal attack of excessive economic hubris. In this honest, frank analysis, Paul and Brendan Moynihan revisit the events that led to Paul's disastrous decision and examine the psychological factors behind bad financial practices in several economic sectors. This book-winner of a 2014 Axiom Business Book award gold medal-begins with the unbroken string of successes that helped Paul achieve a jet-setting lifestyle and land a key spot with the…
I’m Darius Foroux (pronounced Dare-eus For-oe), and thanks for exploring my recommendations. As a former mutual funds advisor, I understand the complexity of finance, a lesson driven home when I lost two-thirds of my investment in 2007. Not wanting to repeat my costly mistakes, I earned degrees in business and finance, launched a business, and continuously educated myself on investing. The biggest thing I learned? Investing and wealth-building aren’t logical but emotional. I'm passionate about helping others achieve financial independence and live on their terms. My book empowers you to manage your emotions, build wealth, and enjoy life, regardless of the stock market's ups and downs.
I find the 20th-century legendary trader Jesse Livermore to be very relatable. Livermore made and lost great fortunes during his time as a Wall Street trader in the 1920s. And after reading about the ups and downs of his life, I am inspired by his resilience and ingenuity.
This book drew me in with its great writing style and Livermore’s trading advice. While Livermore was a short-term stock market trader, his insight into managing emotions is important for a good long-term investor.
Jesse Livermore was a loner, an individualist-and the most successful stock trader who ever lived. Written shortly before his death in 1940, How to Trade Stocks offered traders their first account of that famously tight-lipped operator's trading system. Written in Livermore's inimitable, no-nonsense style, it interweaves fascinating autobiographical and historical details with step-by-step guidance on:
Reading market and stock behaviors
Analyzing leading sectors
Market timing
Money management
Emotional control
In this new edition of that classic, trader and top Livermore expert Richard Smitten sheds new light on Jesse Livermore's philosophy and methods.…
