Retired English teacher, counselor for college admission, and administrator in independent secondary schools in the United States, Egypt, and Taiwan is especially interested in 1) corporations whose work and products have important impact in the United States and abroad; 2) dividend stocks of reasonably-valued companies, and 3) etfs and stocks that seem likely to benefit from improving international economic conditions.
I am a recent Ithaca College graduate with a degree in Business Administration with a Finance concentration. I was the Sector Facilitator for the Tech/Telecom sector of the Ithaca Real Time Fund in 2014 and specialize in semiconductor and component design and manufacturing. I also have experience in the EMUI sector(s). I am currently seeking employment as a research analyst at a financial firm in either Boston, New York City, or Chicago.
Friedrich is the name given to our algorithm for analyzing companies that trade on the global stock markets. In creating Friedrich we concentrated on analyzing each company’s Main Street operations through various established ratios, along with our own unique ratios that we developed over the last 30 years. What we came up with is a final "Main Street" price per share based on Generally Accepted Accounting Principles (GAAP), which is a framework of accounting standards, rules and procedures defined by the professional accounting industry, which has been adopted by nearly all publicly traded U.S. companies. We feel that our Main Street price result is what each company would need to trade at in order to be attractive to a businessperson on Main Street looking to buy at a bargain.
Since the only constant in the universe is change, the results for each company fluctuate by varying degrees. No company is an island unto itself, but each operates in a world of constant change and at times in areas where Chaos is the norm. By analyzing a company’s Main Street operations over time, Friedrich is able to give the potential investor a decade long analysis (opinion) as well as offering a Trailing Twelve Month (TTM) analysis (opinion), as well. Thus our readers will not only get as close to a real time view of operations on Main Street as is possible, but then can measure the consistency of the company’s operations over time to determine if s/he should invest or not.
Through our Friedrich algorithm we can analyze ten years of Balance Sheet, Income Statement and Cash Flow Statement data for each company all at once and generate one final result in seconds. Friedrich was designed to be ultra-conservative and thus will cut zero slack to any company under analysis and will do so with zero emotion. Companies must be exceptional in order to get an attractive Main Street valuation and the ideal investments according to our backtesting are the ones that have been consistent over time.
By being so ultra conservative Friedrich is designed to identify bargains that Wall Street investors may have overlooked. Companies shares may trade on the stock market but the companies themselves operate on Main Street, so Friedrich is designed to generate a Main Street price per share first and only then does he go to Wall Street and see the price for which Benjamin Graham’s “Mr. Market” is offering the shares.
Since construction jobs haven't been plentiful in Las Vegas, I studied information management at the prestigious College of Southern Nevada and the University of Nevada Las Vegas. My previous financial background is in the field of hanging drywall, where I learned absolutely nothing about the concept of compound growth. I started trading/investing after taking a finance class and watching Mad Money on CNBC.
10+ years experience investing in every kind of company imaginable with a current focus on smaller market cap companies, especially those with interesting dividends. Here to post my thoughts publicly in order to help other investors and to gain valuable feedback from the community here.
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
John Kozey is Director of Research at KnowVera, LLC, where he oversees research and trading of algorithmic trading strategies. Prior to that, as a Senior Analyst at Thomson Reuters, he produced reports blending fundamental and technical analysis for actionable ideas. John was also Equity Research Director for Bridge Trading Company, as well as a former institutional equity derivatives salesman, sales-trader and desk strategist/analyst. He holds the Chartered Financial Analyst (CFA) , Chartered Market Technician (CMT) and Accredited Wealth Management Advisor (AWMA) designations. He received his MBA in Finance from Cornell’s Johnson School of Management.