The Little Book of Big Gains

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A comprehensive guide to navigating the world of investments and personal finance Drawing on his experience as the CEO of a pioneering quant investment company and brokerage firm, Sandeep Tyagi provides readers with a clear and practical roadmap to financial success. Gear Based Investing will help you build a simple yet solid investment plan, covering topics like setting financial goals, assessing savings requirements and understanding risk tolerance. It will teach you how to avoid common emotional pitfalls and cognitive biases that often lead to poor investment decisions. It also delves into strategies for staying committed to your investment plan over the long term, including measuring performance, rebalancing portfolios and tax optimization. Finally, it provides deeper technical insights for those seeking in-depth knowledge of quant investing, including multifactor models, portfolio construction and performance tracking. Tyagi goes beyond mere theory, providing real-world strategies to help readers take control of their financial destinies. A comprehensive financial toolkit, Gear Based Investing is filled with templates, questions to test your understanding and links on its companion website to help you become a better investor. Whether you’re looking to start investing or to enhance your existing financial plan, this book is your indispensable companion on the path to financial mastery.

Sandeep Tyagi, the author of this book, lives his life by looking at situations primarily through the lens of analytical thinking. He is a computer engineer from IIT Delhi and an MBA from Columbia University, NY. He built his career helping large companies make decisions using big data. He founded one of the earliest analytics outsourcing companies, Inductis, which he ran for eight years before merging it with EXL Service. He then founded Estee Holdings. Estee is a capital markets firm that makes investment decisions using quantitative methods and executes them using computer systems.

Sandeep Tyagi

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