Today, technology has transformed the functioning of financial businesses and the trading of financial assets. Investors are nowadays using more high-speed computers to automate their markets and trading processes hence making markets more electronic than ever before. Algorithmic/quantitative trading accounts for more than seventy percent of the trading volume in the US. Numerous books have been written on advanced mathematics and statistics and institutional traders are using these books to derive the necessary knowledge that guides them in their business endeavors. However, some traders with limited computing power and insufficient knowledge in mathematics find it difficult to use such advanced mathematics and statistics books and derive the necessary information that helps them to backtest &execute their strategies over the stocks and benefit from those algorithms. This book is written for two categories of readers. It is written for aspiring algo traders who are planning to begin algorithmic trading businesses but have less knowledge of mathematics and statistics. It is also written to help students of finance or other related disciplines who aspire to become portfolio managers and algorithm traders in various institutions. These two categories of readers can equally benefit from the same shared knowledge and skills. This book provides the journey of algorithmic trading from algorithmic conceptualization to the understanding of key algorithms like Monte Carlo, Brownian Model, Apriori Algorithm along with practical implementation using R programming language. Learn more to earn more.