{"product_id":"how-to-pick-growth-stocks-holly-burns-9798183722819","title":"How To Pick Growth Stocks Like A Mathematician: Using Logic, Probability, and Data to Find the Next Big Stock Market Winners","description":"\u003cp\u003e\u003cb\u003eWhat if growth investing was not about stories, hype, or predictions - but about math?\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMost investors chase narratives. They buy the exciting company, the charismatic founder, the breakthrough technology, or the stock everyone on financial media is talking about. Sometimes that works. Most of the time, it does not.\u003c\/p\u003e\u003cp\u003eThe greatest growth stocks in market history were not random miracles. They shared measurable characteristics before their biggest advances: accelerating revenue, expanding earnings, strong relative strength, institutional demand, powerful business economics, and price action that confirmed the market was already paying attention.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHow To Pick Growth Stocks Like A Mathematician\u003c\/b\u003e gives investors and traders a repeatable framework for finding potential outlier stocks using logic, probability, and data instead of emotion, opinion, or guesswork.\u003c\/p\u003e\u003cp\u003eInside, Steve Burns and Holly Burns show you how to think about growth stocks through the lens of expected value, power-law returns, compounding, risk management, and probability. You will learn why a tiny fraction of stocks create most long-term market wealth, why missing one extraordinary winner can matter more than owning ten average stocks, and how to evaluate whether a company has the mathematical profile of a future market leader.\u003c\/p\u003e\u003cp\u003eThis book will help you learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUse expected value to compare growth-stock opportunities\u003c\/li\u003e\n\u003cli\u003eIdentify the measurable traits shared by major stock market winners\u003c\/li\u003e\n\u003cli\u003eEvaluate revenue growth, earnings growth, margins, and return on capital\u003c\/li\u003e\n\u003cli\u003eUse relative strength and stage analysis to spot market leadership\u003c\/li\u003e\n\u003cli\u003eUnderstand breakout mathematics and institutional accumulation\u003c\/li\u003e\n\u003cli\u003eSize positions based on probability, risk, and reward\u003c\/li\u003e\n\u003cli\u003eBuild a growth-stock checklist before committing capital\u003c\/li\u003e\n\u003cli\u003eManage drawdowns and avoid the risk of ruin\u003c\/li\u003e\n\u003cli\u003eThink like a probability manager instead of a prediction maker\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eGrowth investing will never be certain. No formula can eliminate risk, and no investor is right every time. But a disciplined mathematical process can help you stop reacting emotionally to headlines and start evaluating stocks by the numbers that matter.\u003c\/p\u003e\u003cp\u003eIf you want a practical, data-driven framework for finding and managing high-growth stock opportunities, this book will show you how to approach the market with the mindset of a mathematician.\u003c\/p\u003e\u003cp\u003eStop chasing stories. Start following the math.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Holly Burns,Steve Burns\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798183722819\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/22\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 212\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.64lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.45d","brand":"Holly Burns","offers":[{"title":"Paperback","offer_id":49097379905791,"sku":"9798183722819","price":19.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/how-to-pick-growth-stocks-holly-burns-9798183722819","provider":"WR Book House","version":"1.0","type":"link"}