ApSTAT Technologies develops, on a consulting basis, forecasting and decision models for quantitative financial management and the banking sector. Our past projects include the development of a commodity trading model relying on statistical learning algorithms, a foreign-exchange trading model, as well as a stock-ranking model based on fundamental and technical factors.

Our areas of expertise include statistical forecasting, portfolio optimization, rigorous testing of quantitative management strategies, as well as the deployment of robust models that can be traded on a daily basis.

We can provide assistance for both model development and deployment. On the research side, our backtesting engines can provide thorough and accurate evaluation of a model's capabilities and potential performance.

On the production side, our seasoned engineers assist in every step of implementing a solid, dependable system, and can interface with existing back-office platforms.

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