The historical data are applied to current market situations continuously, on a real-time basis, by MI's fully integrated trading-research team. MI's researcher-traders develop trading strategies by analyzing the historical data on internally developed software based on statistical stochastic models. Every market opportunity identified by computer analysis is reviewed for feasibility of execution by the MI team, led by the Chief Investment Officer (CIO). The entire process takes a matter of seconds, so that fleeting opportunities can be seized instantly. MI's trading strategies differ from such standard trading paradigms as charting and trend following, as well as from the arbitrary common sense approach. The statistical probability approach allows for great flexibility in today's ever-changing market environment. MI's results are thus generally uncorrelated with the large trend-following advisors.

Given the fast-paced and continuously evolving nature of today's markets, MI believes that for market research to be useful it must be capable of instantaneous application. MI's research and trading activities are in effect one unit, where equal emphasis is placed on running computer applications and developing the trading skills necessary to ensure optimal execution of market strategies. New trading ideas are quickly studied and thoroughly tested, and research findings are rapidly implemented. The continuous feedback between research and trading activities stimulates creativity while maintaining analytical vigor for each trade.

MI's systems monitor the world's markets in the context of their interrelationships. The firm's positions and value at risk are monitored on a real-time basis, with every trade's profit and loss continuously updated. The computer system reviews exit points for optimal risk-reward parameters so that adjustments can be made as appropriate to changing situations. Margin requirements, market volatility analysis and money management rules are used to limit drawdowns and preserve capital.