Linda Raschke—Principles of Price Behavior

Rashke will outline what she considers to be the Four Principles of Price Behavior. Each of these concepts can be quantified and are considered to be "durable" and "robust". Not only are they at the basis of every discretionary trading pattern, but almost all mechanical systems are based on one of them. She will show you how to recognize each of these principles in a basic bar chart, and then how to interpret the forecasting value of each of them. Rashke will teach you the basic tools with which to quantify these concepts, so that the student has a solid foundation with which to pursue more sophisticated modeling of price behavior or system development. Lastly, she will share a few tape-reading tricks as how she uses them on a discretionary basis in her daily trading.

Linda Raschke
Linda Rashke has been a full-time professional trader since 1981. She started as a floor trader, has been the principal trader for several hedge funds, run commercial hedging programs, and continues to trade both futures and stocks on a daily basis for her personal accounts. She is a devout student of technical analysis and has been sharing her research at both national and international conferences for many years.

Nelson Freeburg—Timing the Market Systematically: What Works... What Doesn't

Freeburg will explain the trading rules and show how they manage risk while methodically building equity. He will then describe some popular, but failed timing models and suggest a few simple steps to restore their forecasting power. Along the way, Freeburg will share some personal insights into two exceptional money managers, who combine systematic trading with individual discretion. Nelson will highlight several winning models that capured most of the market's gains and avoided most of the market's losses--not only over the past five years, but over the past five decades.

Nelson Freeburg
Nelson Freeburg edits Formula Research, a financial letter that develops quantitative timing models for stocks, bonds, and commodities. In the past five years, a number of once promising forecasting models for the broad stock market faltered unmistakingly.