Discusses interesting twists on traditional indicators, such as Stochastic RSI which combines concepts from the Stochastic and the RSI, or Qstick, which quantifies the candlestick approach. If you're the math-innovative-type, this book can really stimulate your imagination to further develop your own indicators. The presentation, though clear in most parts, contains some vague paragraphs which make no sense without prior background in the material. I wouldn't recommend this as a first book on technical analysis (if that's what you're looking for, try Technical Analysis from A to Z by Achelis). However, once past the basics, this is what you need if you're planning to dig deeper and get more serious. I warn you though that all the colorful promises (exemplified by only one example in most cases) as to how much better these indicators are may not hold in general. However, they do contain some very important concepts needed to refine the standard technical indicators and can serve as a springboard for new ideas.