Peter Way Associates is the only known provider of the price range forecasts of widely-held, actively traded stocks derived from the hedging activities of market-making [MM] firms as they balance big-$-fund sellers and buyers in large block trades. The price ranges offer explicit downside exposure forecasts not commonly found in publicly published investment analyses.
This is all forward-looking data, based on what the MMs will pay for protection against coming unwanted price change while temporarily committed firm capital is exposed to market risks. It is available by modest subscription cost at blockdesk.com.
The behavioral analysis involved has been performed daily since Y2K, now on over 3,000 stocks, ETFs, and market indexes. That has built an actuarial history of how market prices have subsequently behaved following several million price range forecasts, issue by issue.
That data provides a qualitative backdrop to current forecasts in terms of odds of profitable positions, size of prospective gains, credibility of forecasts, and worst-case price drawdown exposure experiences.
Peter F. Way is a veteran Chartered Financial Analyst, having taken and passed the CFA Institute’s required 3 examinations in the first years they were given, 40+ years ago.
Armed with BS in Economics from the Wharton School and an MBA degree from Harvard Business School, he has managed staffs of dozens of Investment Researchers and Quantitative Analysts for the nation’s largest bank, arbitraged index options for NYSE Specialists, and managed portfolios of hundred-million-dollar equity investments for Fortune 100 corporate pension funds and non-profit endowments.
He has been elected President of professional Investment Analyst Societies in San Diego and New York City and has served on the editorial boards of the Financial Analysts Journal and the CFA Digest. He has spoken at numerous schools and professional meetings.
I am a simple individual investor who believes that the playing field is level, but may require active management of one's holdings.
I've devised a series of steps that constitute a highly defined covered option strategy that most anyone can follow and that I've described in Option to Profit (2011).
Having retired from a career in Pediatric Dentistry, approximately 10 years ahead of schedule, after spending the previous 10 years working just 2 days each week, I now spend my time trading and alerting others of trading opportunities in large cap positions through the Option to Profit subscription service, a premium subscription service that provides actionable Trading Alerts via text messaging or e-mail at www.optiontoprofit.com. as well as a Web site access only subscription plan.
The Option to Profit subscription service is now in its 4th year.
Now, the Web Access subscription plan is available through Seeking Alpha's "Marketplace." A listing of those articles can be found at https://seekingalpha.com/account/research/subscribe?slug=george-acs
The subscription through Seeking Alpha also includes access to the full Option to Profit web mirror site at http://sa.optiontoprofit.com.
I want you to join me in making your stock portfolio improve the quality of your life. Whatever stage of life you are in, you can make your stocks improve that quality by putting them to work for you.
Husband, father of three, grandfather of three and long time investor. Bought my first stock at 16 years old, it was called Unishops and it went bankrupt. I kept on investing and now have a decent size portfolio. Best investing book I ever read was "The Future for Investors" by Jeremy Siegel. I believe in companies that pay dividends, have strong cash flow and have some type of moat.
Jeff Paul has been investing since his teen years, though his professional career has been in software engineering and education. His math classes participated in online stock market challenges, providing an opportunity to share his enthusiasm for investing with his students and the chance for them to learn the fundamentals and try to identify the next big stock (they found Google). He recently completed an MBA at Portland State University with a focus on finance, and is currently a Senior Investment Analyst at a wealth management firm.
I have been trading max pain type data since 2007 after noting odd trading patterns centered around options expiry. I am a more conservative trader/investor and only take high probability trades. I prefer to know where stocks won’t be rather than guess where they will be. Trading with this mind set gives you 80% plus probability of being correct.
I have always been a stock market enthusiast. My formal training is that of informal. I am self taught, soaking up as much knowledge as can be absorbed. I love the financial industry and would work for free. I am a fundamental investor at heart and like crunching the numbers. I picked up on Max Pain theory and use option data as a main thesis in taking my positions.
In the beginning; when studying Max Pain I was truly amazed at the power it had in pulling or pushing AAPL around. I have seen the stock drop 5% out of nowhere with no news. The only news would be it was the 3rd Friday of the month. I then picked up on hitting the Max Pain strike was about 50/50 odds. Max Pain would give you a tell on what direction AAPL would start heading for expiry. I started to build a strategy from my studies. Using the Max Pain strike is not really tradable, good to know, but not tradable. So I started to study open interest (OI) and its affect on AAPL. Long story short, I have altered the original Max Pain theory and morphed it into what my own studies have concluded. I call this OI/Max Pain, it uses open interest and a range. This way it is tradable as I now have a high probability range. It doesn’t stop there, using OI will tell you so much more. How a stock reacts at each strike depending on the amount of OI is a major tell.
Conclusion: When using open interest you can accomplish multiple things. We can use it for OI/Max Pain when AAPL is stuck in a range and we can use it for catching breakouts, breakdowns, buy and sell points. Enjoy.
I want to give a special thanks to some of my early influences: Turley Muller, Andy Zaky and Jason Schwarz. I thank Philip Elmer-Dewitt for his coverage on AAPL and letting us have a voice, Horace Dediu for his tireless studies and anyone attached to the AAPL community.
Siddharth is a software engineer with a keen interest in personal finance and renewable energy. He blogs at http://www.s1dd.com at night and makes embeddable financial widgets and portals at http://www.chartiq.com/ by day.
Jim Van Meerten is an advisor to Marketocracy Capital Management and writes on financial subjects here and on Barchart Portfolio Blogs and Seeking Alpha. He earned a BS in Accounting and Business Administration from Berry College; a Juris Doctorate from the Woodrow Wilson School of Law; and attended post-baccalaureate and graduate courses in Business Administration, Quantitative Math, and Education at Florida Atlantic University, Georgia State University and University of North Carolina at Charlotte. In the past he has been an accountant, attorney, adjunct professor in Business Law, Accounting and Internal Auditing, financial advisor, supervisory principal, and compliance officer. He also passed the Georgia CPA Exam, the Certified Internal Auditor Exam, and the FINRA Series 7, 24 and 9/10 exams.He is presently also a contributor on MSN Top Stocks Blog, Motley Fool and is a member of the M100 on Marketocracy, an elete honor chosen by the editors of Marketocracy as being in the top 100 portfolio managers of over 100,000 portfoiios they review. He would enjoy hearing your comments at JimVanMeerten@gmail.com.
Research Edge, LLC (http://www.researchedgellc.com/) is the leading real-time research firm. Focused exclusively on generating and delivering actionable investment ideas, the firm combines quantitative, bottoms-up and macro analysis with an emphasis on timing. The Research Edge team features some of the world’s most regarded research analysts – united around a vision of independent, un-compromised real-time investment research as a service.
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