Overview

Quantitative Stock Strategies for Beginners introduces new investors to a clear and evidence based way of navigating the stock market. The book explains how data driven rules can replace guesswork and emotion and helps readers understand why consistent decision making leads to stronger long term results. Stewart Kennedy guides beginners through the essential building blocks of quantitative investing including price behavior, fundamental data and the proven factors that shape market performance. The writing remains practical and accessible while still grounded in research used by professional investment firms. Readers learn how to design simple screens, evaluate company strength and build rule based portfolios that remove the stress of constant decision making. The book provides step by step explanations of value momentum and quality strategies and shows how these approaches can be blended into diversified models that suit different comfort levels. Real world examples using well known companies such as Apple Coca Cola Johnson and Johnson and Microsoft help make concepts easy to visualize. The book also teaches beginners how to test strategies responsibly, avoid common data errors and maintain discipline during market volatility. The goal is not to turn readers into mathematicians. It is to give them the confidence to use structured rules that reduce emotional mistakes and improve clarity in a noisy market. Quantitative Stock Strategies for Beginners offers a complete starting toolkit for anyone who wants to invest with logic instead of intuition. It provides a practical path toward building dependable portfolios supported by measurable evidence rather than predictions or headlines.

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