We provide forecasts on stock prices, currency exchange rates, commodity futures, or any other time-series data supplied to us by our client.

We use proprietary and patented technology to make statistically sound predictions. Our predictive modeling engine contains an exhaustive set of algorithms, derived from latest statistical research (e.g. neural networks, expert systems, decision trees, etc.), standard statistics (general regression, discriminant analysis, etc.), and classical technical analysis (price and volume based indicators). Our system applies every available method and checks its accuracy in predicting a given series of stock prices, currency or commodity futures. The best-performing method is selected using a variety of statistical tests.

In addition, we create and back-test a variety of trading rule-sets. A rule-set is basically a collection of rules specifying buy/sell triggers. The top performing rule-sets are reported back to the client.

Finally, we have developed a series of critical economic indicators. We use these in conjunction with any price data supplied to us in order to make accurate predictions. These include U.S. and international indicators, for example employment data, consumer spending & confidence, national output and inventories, housing & construction, etc.