The S.Q.H Private Investment Fund was established after more than nine years of extensive quantitative research in the world's capital markets spanning Indices, ETF's, Commodities and Emerging Technologies.

 

The S.Q.H Investment Philosophy deploys a four-pronged approach that we call the S.Q.H-Quadrant. Our investment decisions are modeled on intensive back testing research. This is coupled with forward analysis of the asset types in our portfolio and understanding sector impact through fundamental economic changes in the markets. This research is then applied to an algorithmic and systems defined logic to enter both Long and Short Positions in a statistically advantageous manner. We leverage a directional bias in our positions while offsetting disproportionate risk by hedging our overall portfolio.

 

The S.Q.H-Quadrant can be outlined as follows:

 

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 I  The S.Q.H Private Investment Fund utilizes proprietary algorithmic strategies that recognize anomalies within market regimes that occur enough times to produce a strategic edge that can allow for positive risk adjusted returns. In fact, the S.Q.H Investment Fund is less effected by market volatility impact as our positions are only open for the duration that there exists statistically an opportunity to gain from market conditions as per The S.Q.H Investment Model.

 

II  The S.Q.H Private Investment Fund constantly monitors the pulse of the market by subscription to cutting edge news feeds and minute by minute alerts of developments taking place in the relevant sectors of our portfolio. Our deep knowledge and understanding of the fundamentals and current international economic temperament is applied to our risk management assessment.

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III  The S.Q.H Investment Model utilizes Correlational and Causal-Comparative Quantitative research to establish and verify cause-effect relationships among the Big-Data that is retrieved from our portfolio’s asset classes. We develop multiple market hypothesis that ultimately becomes the basis for the inception of our investment strategies. The use of empirical data is at the foundation of our strategies success as our investment decisions are made on the confirmation of verified past performance with sound explanation to market response.

 

IV  The S.Q.H Investment Risk Management Model has been refined to perform efficiently in our portfolios strategic decisions using rigorous back testing that confirms our investment decisions can handle the market regimes that they are applied to.