62 books like Algorithmic and High-Frequency Trading

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.

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.

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.

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’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.

I am the Founder of Stellar Wealth Partners, a SEBI-registered Research Analyst firm and small case manager for investors in the Indian stock market. I am the author of the international best-seller on value investing, The Joys of Compounding. Once a strong foundation is created for a business, owners don’t work for money. Rather, money works for them. As an investor, your money is working for you 24/7. You are becoming wealthier with each passing second, alongside the increasing intrinsic value of your businesses. An investor builds earnings power through a business ownership mindset. 

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.

I am Rubén Villahermosa, independent trader and author. My logical and rational mind led me to question the why of market movements, which allowed me to learn the principles of the Wyckoff method. I have deepened in the study of the interaction between supply and demand through high-level Technical Analysis tools such as Wyckoff, VSA, Price Action, Volume Profile, and Order Flow; knowledge that I share through my books from principles of honesty, transparency, and responsibility.

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 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.