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.
Our computers analyze historical price data. Our research and development universe is composed of 1,350 years of market data (90 markets x 15 years).
|
|
|
|
We have 4 separate investment engines underlying every asset and market. Each engine runs a highly specific investment strategy. We currently run 164 such engines across global markets.
Valuation engines place a premium on the value (the price) at which the securities underlying a market can be purchased.
Risk dynamics engines place a premium on the risk characteristics of the securities underlying the market. We then have a further 4 engine types.
Simple in construction.
Unified parameters for maximum robustness.
Smoothing the data prior to processing.
Targeting the points of risk inflection.
Our systems dynamically weigh the engines based on the success of their performance delivery.
All of our investment engines process a multiplicity of factors. These factors can work in combination or isolation.
We run a bottom-up investment process. So individual security analysis drives market scores. MICRO ANALYSIS DRIVES MACRO VIEWS.
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.
We systematically analyze and evaluate 1529 companies every week. These individual company scores are aggregated market by market. Thereby generating the final risk scores across all Emerging Markets.
Over the years, we have made a number of upgrades to our engine architecture. We are currently running Generation 11.
|
multi-factor investment engines
|
years of market data for R&D
|
|
individual companies
systematically evaluated every week |
years of system development
|
|
lines of code
|
year track record
|
