Michael Harris is a trader, book author, software program developer and blogger. He started developing advanced pattern recognition software for the benefit of position and swing traders in the late 1990s. In years past, Michael has also done work for a number of different financial firms, where he developed a bond portfolio optimization program and trading systems for commodities and stocks. Michael is also a well-known author. His first book “Short-Term Trading with Price Patterns” was published in 1999. His other two books “Stock Trading Techniques with Price Patterns” and “Profitability and Systematic Trading” were published in 2000 and 2008, respectively. His most recent book is "Fooled By Technical Analysis". Michael holds a Masters degree in Operations Research, with emphasis in forecasting and financial engineering and another Masters degree in Mechanical Engineering. Website: www.priceactionlab.com
I am an early career scientific researcher who has taken a strong interest in investing, both for achieving my personal financial goals as well as serving as an alternative conduit where critical and logical thinking are rewarded. I write articles to share ideas, refine my own thinking and invite discussion from the astute readership of Seeking Alpha.
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Within the academic field, I have a career total of 87 articles and 5 book chapters, 2,600 total citations and an h-index of 31 (metrics from Google Scholar).
Retired engineer who enjoys investing
which gives me a good reason to keep up with the
world. Have core holdings in mutual funds--equity and bond,
and quality dividend stocks. IRAs
and Roths constitute the major portion of the portfolio. Since the world markets are quite mixed, I'm more interested in a defensive position.
My name is Chris and I am 28 years old. I have a job that provides an average salary for a college graduate with a Bachelor’s degree in engineering. I have a wife and a one year old and own a modest house in Western NY. Working in the corporate world at a large company for about 4 years now, I have realized that I would like to exit this environment much sooner than a 35 year sentence that most have to serve in order to set themselves up for retirement. After quite a bit of reading (sources used are listed in resources section) we have come to the conclusion that the Dividend Growth Investment strategy is the one for us. In the past 4 years my wife and I have been aggressively saving enough money in our emergency fund to provide safety if any major expenses or job loss occurs (all those who own houses can sympathize with this I’m sure). When I first started my job I enrolled in an employee stock purchase plan that I had set for automatically dividend reinvestment. I monitored this fund throughout the years, never sold, reinvested dividends and it grew to about seven thousand dollars. Since we reached our goal with our emergency fund and we established a plan to move forward with our DG portfolio, I sold all of my company stock (did not fit current investment criteria) to start researching quality dividend paying companies and slowly pick some long term winners. Thanks for checking out my website and I wish all of you best of luck on the journey to financial independence.
I am a graduate student in biostatistics at Emory University in Atlanta, GA, and an individual investor. While my investments are mostly in low-cost index funds, I enjoy analyzing stock market trends and trying to find ways to beat the market.
Right now I'm convinced that the best way to beat the market is to pair a leveraged S&P 500 ETF (e.g. UPRO) with a total bond fund (e.g. BND). With one-third allocated to UPRO and two-thirds to BND, you get a portfolio with beta approximately 1 (depending on the current correlation between stocks and bonds) and alpha two-thirds that of BND's alpha. The result is a portfolio that sort of mimics SPY, but with an extra couple percentage points added on each year.
I favor computational investment methods over traditional fundamental or technical analysis, which require subjective analysis of earnings reports and visual assessments of price charts, respectively. I am interested in identifying aspects of stock charts that are statistically predictive of future gains, and developing algorithms that trigger buys or sells accordingly.