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Crystal Shore Dashboards is a FinTech company. Our investment process is 100% systematic (algorithmic). We design, develop and code all of our strategies in-house.




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Our computers analyze historical price data. Our research and development universe is composed of 1,125 years of market data ​(75 markets x 15 years).




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We have 4 separate investment engines underlying every asset and market. Each engine runs a highly specific investment strategy. We currently run 220 such engines across global markets.




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Valuation engines place a premium on the value (the price) ​at which the securities underlying a market can be purchased.




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Risk dynamics engines place a premium on the risk characteristics ​ of the securities underlying the market. We then have a further 4 engine types.


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Simple in construction. 




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Unified parameters for maximum robustness.




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Smoothing the data prior to processing.




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Targeting the points of risk inflection.




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Our systems dynamically weigh the engines based on the success of their performance delivery.




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All of our investment engines process a multiplicity of factors. These factors can work in combination or isolation.
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​We run a bottom-up investment process. So individual security analysis drives market scores. MICRO ANALYSIS DRIVES MACRO VIEWS.


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We systematically analyze the 41 South African companies underlying the JSE Top 40 index. The preponderance of low versus high company risk scores will drive the final EM risk score.





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​We systematically analyze and evaluate 4433 companies every week. These individual company scores are aggregated market by market. Thereby generating the final risk scores across all Emerging Markets.



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Over the years, we have made a number of upgrades to our engine architecture. We are currently running Generation 8.

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​multi-factor investment engines
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​years of market data for R&D
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​individual companies
​systematically evaluated every week
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​years of system development
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​lines of code
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year track record
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