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Our philosophy is to use a quantitative approach to identify companies with excellent potential for share price appreciation. Our computer model analyzes current and past financial data (including market and industry data), and provides a set of numerical ratings for over 7000 publicly-traded companies. Through careful research & data analysis, we offer investors a means to eliminate subjectivity from investment decision-making.
We have carefully studied historical data, and have identified a number of factors that are correlated with stock price movements. We use these correlations to determine the numerical ratings for each company. Our computer model essentially analyzes how companies that have had similar characteristics under similar market conditions in the past have performed. In this way, it can assess the probability that a company’s stock will increase (or decrease) in value.
Our computer model is probabilistic, in that it tries to identify the companies that are MOST LIKELY to increase in value. Obviously no analysis technique is perfect, but we believe that our approach will deliver above-average returns over the long run, and our track record supports that view.
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