This book is for anyone interested in risk management on long time frames in the U.S. stock market. It presents market timing models that are designed for making decisions with a monthly frequency. It goes through the process of selecting, testing, and combining indicators. It explores data series, and then tests various signals on various time frames in the past. It combines them to improve signal quality. It presents scaled timing tactics, which in a world of probabilities is a more sensible approach than risk on/risk off binary decisions.