Candlestick charts are often used in speculative markets to describe and forecast asset price movements. This book is the first of its kind to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book proposes a novel technique to obtain the statistical properties of candlestick chart. The technique which is known as the range decomposition technique shows how security price is approximately logged into two ranges i.e. technical range and Parkinson range. Through Decomposition-based Vector Autoregressive (DVAR) modelling and empirical datasets, the book investigates the power of candlestick forecasting and establishes the statistical foundation of candlestick forecasting.