Using And Trading Options Part 1 – Lawrence G. McMillan
Using And Trading Options Part 1
Author: Lawrence G. McMillan
Running Time: 90 minutes
Workbook (PDF) Length: 36 pages
Description:
Larry teaches you how to effectively use these powerful but generally misunderstood instruments.
First, Larry describes the unusual predictive power of options inherent in the fact that options traders are generally wrong. Thus, the ability to accurately identify the actions of the majority of options traders provides a unique contrary indicator. Larry also explains the one very important exception to this statement in which options act as a direct indicator of market behavior.
Expiration also provides traders with often overlooked opportunities to make money. You will learn specific strategies for profiting before expiration, on expiration day itself, and after expiration day.
Finally, Larry describes the concept of delta neutral trading, in which options are used to construct positions that benefit from predicting volatility rather than price. Since options generally trade in a volatility range and it is easier to predict volatility than prices, this is a much safer trading approach. The mechanics of this approach are explained, along with actual trading examples.
About The Author:
Lawrence G. McMillan
Lawrence G. McMillan, president of McMillan Analysis Corporation, is the author of Options As a Strategic Investment (3rd Ed., 1993), the best-selling work on stock and index options strategies, with sales of over 140,000 copies. His most recent book, McMillan On Options, was published in 1997. Lawrence began his financial career at Thomson McKinnon, first as the retail option strategist (1976-1980), then trading the firm’s proprietary account. From 1982 to 1989, Lawrence ran McKinnon’s Equity Arbitrage Department. From 1989 to 1990, Lawrence ran the Proprietary Options Trading Department at Prudential-Bache Securities before founding the McMillan Analysis Corporation. Lawrence holds a B.S. degree in mathematics from Purdue University (1968) and an M.S. in applied mathematics and computer science from the University of Colorado (1972).
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