I am teaching and doing research in mathematics at University Paris 12. I have a PhD in Dynamical Systems from the University of Orsay.My main hobbies are investing, programming, playing pool, parenting and playing backgammon.I am co-founder of a startup which helps institutions digitize and organize paper documents. We hope to complete an OCR software developed in house that will allow indexing scanned books.
Richard Moheban (aka Retired Aviator) earned a BBA in Finance, Investment & Banking from a national top ten (public) business school—the University of Wisconsin at Madison. He then went on to earn a BFA (with Honors) in 1992. After that, however, his one year of working in the corporate world was enough for him to realize that it was not his cup of tea. He decided he needed more freedom and daily variety than any Finance position could offer, so he went to work for himself.
Determined to somehow achieve financial independence without the grind, he worked as many as four part-time jobs concurrently to obtain seed cash for investing. He devoted much of his non-working time to studying investments and "real world" Economics (as opposed to the academic variety), refining several workable theories along the way. For years he plowed every spare nickel into investing. Using only his relatively modest sources of income as an investing base, over time he was able to multiply his savings and thus achieve his dream of retiring by his mid-forties in 2009. Today he enjoys pursuing a variety of recreational interests, researching, writing, and has several ideas in the works for new books. He has one book published to date.
Spent over 30 years in computer systems work, many different functions. Owned my own business for awhile. Got tired of it (managing employees is not my baliwick) and stopped doing it professionally. Did other things, off and on, for some more years and finally bumped into this investing/trading stuff. "Looks like a challenge" said I and jumped in (I've found I'm happiest learning new things and overcoming challenges - this certainly qualifies as a challenge).
Still on the steep side of the learning curve, but with facilities like Seeking Alpha, internet availability of all sorts of information and dedication, I'm beginning to improve my performance.
As part of that learning, I've recently been working on learning technical analysis of charts.
I Have been using covered call options for a while and had good success with that, so I'm currently studying and playing with small positions using other option strategies.
Being interested in a lot of different things, I had a desire to check out natural gas, due to its environmental and potential cost benefits. Fortunately, before I dabbled in it, I had already learned to not trade on emotion and had started getting familiar with how I might more effectively use technical analysis of charts. My first foray into NG, using UNG, I made a small return in a short time, thanks to the charts.
As time goes on, I'm discovering additional resources. It looks like I might enjoy doing this for a long time.
Because of my background, I guess, I'm a big believer in "community knowledge". That is what any one of us knows is available to all the community members, except for those that need a serious "attitude adjustment".
I enjoy learning from all and sharing what I may have to contribute.
Jason Wu is currently a portfolio manager at Optimization Asset Management LLC, a Long/Short hedge fund based in the U.S. Dr. Wu spent seven years as a quantitative strategist/portfolio manager at Perry Capital, an event driven hedge fund, where he managed quantitative strategies. Jason Wu also developed the risk management system and other quantitative price models for the company during a period when Perry’s asset under management grew from $1 billion to $8 billion. Prior to working at Perry Capital, Dr. Wu spent 5 years as a quantitative analyst at General Re, CDC Capital and Bankers Trust. Jason Wu has a Ph.D. in physics from Yale University and Bachelor of Science from Tsinghua University, Beijing, China.
Chief Information Officer ERA Living 1999 - 2009,
Owner Integrated Networks 1995-1999,
Information Technology Engineer Digitech Solutions 1987-1995,
Registered Investment Advisor 1980-1987,
Managing Partner Buttonwood Securities 1975-1980,
Registered Rep. Tucker Anthony & R.L. Day 1973-1975,
Amherst College, B.A. 1973
I'm an Engineer from New Zealand, recently moved back to the homeland after 4 years of living in Switzerland. I've a little under a decade of experience in product development in the energy industry; most of it relating to grid interactive power electronics applied to a range of applications including electric vehicle fast charging and grid battery energy storage; both with engineering multinational ABB. More recently I led the engineering activities through to V1.0 product launch at Ampard, an energy storage startup. Now I split my time between consulting work and my own projects, the foremost of which is www.tradifex.com, a trade optimization framework (currently under development).
I've been dabbling in stocks from time to time for the last ten years - early efforts led to burnt fingers, leading to a more cautious approach and positive results in recent years. I greatly admire and respect Warren Buffet and agree with his philosophy that you should buy companies you understand and believe in... but at the same time I'm not blind to the impact of sentiment. Between doing my homework and applying a few analytical tools I've been coding in my spare time I try to make out ok.
I am a Portuguese independent trader, analyst and algorithmic trading expert, having worked for both sell side (brokerage) and buy side (fund management) institutions.
I've been trading professionally for about 20 years and also launched www.thinkfn.com in 2004. Thinkfn (Think Finance) carries thousands of educational articles on finance and the markets.
I trade futures, stocks from the long and short side, forex and options. I trade both discretionary and fully automated systems (Metatrader, Quantshare and others).
I can be reached at paulo.santosATthinkfn.com or followed on Twitter at twitter.com/ThinkFinance999
TechCrunch (http://www.techcrunch.com/), founded on June 11, 2005, is a weblog dedicated to obsessively profiling and reviewing new Internet products and companies. In addition to covering new companies, we profile existing companies that are making an impact (commercial and/or cultural) on the new web space. TechCrunch is co-edited by Michael Arrington and Erick Schonfeld.
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.
I am the founder of the Braeburn Group of independent AAPL analysts and author of the Posts At Eventide web presence.
The objective of my work is to benefit readers seeking to understand Apple's financial performance and to provide a repository of information and analysis at my web presence for other independent AAPL analysts preparing quarterly estimates and share price forecasts.
In addition to following Apple, I maintain a keen interest in the personal technology product markets and follow publicly traded enterprises offering technology products and services to consumers.
Robert Paul Leitao
Horace Dediu authors the asymco blog, which is available at blog.asymco.com. He has 8 years of experience as an industry analyst and business development manager at Nokia, preceded by 6 years of startup software development.
Mr. Muller received a BA in Business with emphasis in finance from Rhodes College. He is also a graduate of Kimball Union Academy, a New England Preparatory School in Meriden, NH.
Mr. Muller is currently a candidate for the CFA designation. His work experience includes the banking industry and Mortgage Trading. He tends to follow a value/ growth at reasonable price strategy and spends time creating valuation models in MS Excel.
Additionally, he tries to incorporate investor psychology and behavioral finance to explain deviations of stock prices from their intrinsic value.
Visit: Financial Alchemist (http://financial-alchemist.blogspot.com/)
Andy Zaky is a Hedge Fund Manager at Bullish Cross Asset Management, and editor of the Bullish Cross financial newsletter. His main area of knowledge is in global macro economics, fundamental analysis and technical analysis. Andy has about 14 years of investment experience, a strong background in accounting and financial statement analysis, technical analysis, broad market analysis, macro economics and law. Andy both focuses on long term investments and trading short term calls and puts on the major index-pegged ETFs (QQQQ, SPY and DIA). Andy has a J.D. from the UCLA School of Law.
Jason Schwarz authors the popular Economic Timing investment newsletter. His fundamental and technical research has become a primary resource for hedge funds and individual investors.
John Petersen is executive vice president and chief financial officer of ePower Engine Systems, Inc., a company that has developed, built and demonstrated an engine-dominant diesel-electric hybrid drivetrain for long-haul heavy trucks that promises fuel savings of 25 to 35 percent depending on terrain and payload.
John is a lawyer and accountant with over three decades of corporate finance, due diligence, M&A advisory and related legal services for manufacturers, innovators and investors in the energy storage and renewable energy sectors.
Over the last eight years John has earned a global following for his articles on the energy storage and alternative energy sectors. He has contributed to AltEnergyStocks, Seeking Alpha, The Street, NASDAQ.com and Batteries International Magazine. He currently works as a senior editor at InvestorIntel.
John is a 1979 graduate of the Notre Dame Law School and a 1976 graduate of the W.P. Carey School of Business at Arizona State University. He was admitted to the bar in 1980 and licensed to practice as a CPA in 1981. John’s diverse experience in corporate finance, natural resource development and energy storage give him a unique and sometimes unsettling perspective on the technical, economic and supply chain challenges of the battery industry.