The Best Technical Analysis Books Out There

Among the many strategies investors utilize to succeed in trading and investing is technical analysis. Fundamental analysis is part and parcel to potentially achieving success on the markets, so we’ve compiled some of the best fundamental analysis books to up your investing game.

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1. “Technical Analysis of the Financial Markets” by John J. Murphy: One of the standards of the best technical analysis books out there, this book gives the reader an introduction to chart patterns, indicators, and oscillators.

2. “Japanese Candlestick Charting Techniques” by Steve Nison: This book goes into the history of Japanese candlesticks and how to interpret them. Many consider this to be a game changing book.

3. “Charting and Technical Analysis” by Fred McAllen: A handy read for investors looking for a more practical approach, this book delivers solid content. It has a focus on applying technical analysis to real-world trading scenarios and connects theory with practice.

4. “Technical Analysis Explained” by Martin J. Pring: this book showcases a comprehensive look at various technical analysis tools, and is an ideal resource for both beginners and experienced traders.

5. “The New Trading for a Living” by Dr. Alexander Elder: This text combines technical analysis with aspects of psychology, showcasing many of the behavioral aspects of trading.

6. “Getting Started in Technical Analysis” by Jack D. Schwager: Investors who wish to venture into technical analysis territory can make good use of this book, which provides practical insights and clear explanations.

7. “Technical Analysis from A to Z” by Steven B. Achelis: As the name suggests, this book covers everything to do with technical analysis, offering a broad range of concepts and indicators.

8. “The Art and Science of Technical Analysis” by Adam Grimes The author of this book goes into the art and science of technical analysis, blending quantitative techniques with subjective analysis, and provides traders with a rounded perspective on the intricacies of market analysis.

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Jeff Sekinger
Jeff Sekinger | Wealth Strategies

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Bingham Zhou

Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.

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Greg doscher

Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance

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Marcin Borratynski

Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).

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Abhayjit Anand

Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.