MAARS STOCKS MANAGEMENT ANALYTICS: A COMPREHENSIVE STOCK DECISION SUPPORT TOOL
Finding the best stocks is critical for any type of trader or investor. Investment managers, private banks, private or professional traders and investors, find challenging to select the 'best' ones out of ten of thousand or more possible stocks. The question faced by investors and traders is 'how to define the best stocks for me?' 'The best' has a very different meaning for every individual. Is it just best earnings per share, best revenue per share, best return on equity or lowest depth to equity? In fact, the reality is way more complex than that: 'best' must take into account also whether the client investment profile is aggresive, moderate or conservative as well as the market movements at that particular investment point in time - either bullish or bearish. In the end is a complex combination of all stock performance and risk attributes that have different priorities combined with the dynamics of the financial market. Add to this the fact that Stocks are dynamically changing minute by minute and the question is not just “what are the best stocks for me” but rather “what are the best stocks for me NOW” and then keep checking the answers minute by minute to ensure you have the optimum portfolio Therefore,quickly and repeatedly assessing hundreds or even thousands of stocks in a consistent manner, taking into account all these attributes and their priorities is beyond human capabilities in order to make a fully knowledgeable and objective decision in a sensible timeframe.
MAARS SMA (Stock Management Analytics) provides a real solution to this problem. It is a patent pending decision support tool for asset/investment managers, private banks, hedge funds, mutual funds, stock rating agencies, financial intermediaries, pension funds, insurance companies and on-line customers that enable the users to prioritize and weight the different attributes according to their preferences. MAARS applies these preferences and weights across all the potential stocks quickly and efficiently. The result is that the user is always presented with an up-to-date list of stocks that are the closest fit to his or her preferences. Also the system allows back-testing and 'what-if' scenarios.
Example of dynamic set parameters to be used with MAARS SMA: Fundamental Analysis: Sector, % Shares Owned by Institutions, Return on equity, Net income / total revenue ratio, Earnings per share, Revenue per share, Price earnings ratio, Price revenue ratio, Current assets / current liablities ratio, Debt to equity ratio, Debt to asset ratio, Floating Shares Technical Analysis: Price, Volume, Beta, R2, Alpha, Historical Volatility, MACD (Moving Average Convergence Divergence), RSI (Relative Strength Index), Stochastics, Wilder's DMI (ADX), Simple Moving Average, Exponential Moving Average Sentiment Analysis: Implied volatility, Put/Call ratio