CIMalgo is a Research & Development company providing quantitative trading solutions, customized portfolio models and global stock-market analytics.
CIMalgo's proprietary and patented methods are based on mathematical finance, computational epistemology and machine learning. We license scalable quant-solutions, models and analytics worldwide, only to professional clients.
CIMalgo's Key Values
Sustainability
The risks and returns of equities and equity portfolios, and the costs of managing capital, are critical success-factors for the long-term development of society. Each individual needs savings and pensions for old age, and each financial institution must perform and add value to their clients.
Through innovative financial research and the global distribution of our quant-solutions and full range of products and services, CIMalgo always seek to explore sustainably more efficient management of capital.
Transparency
Neither active management nor algorithms can add value to what is random. Hence, modern short-term equity trading and longer-term investing are evolving into big data search processes for market segments with sufficient transitivity, where significant Alpha is greater than the transparent costs to the investor.
CIMalgo has developed a conceptual framework and global database platform for comparative finance and distributes equity portfolio models with relative prices that are non-random probabilities. Transparency in learning how to outperform benchmarks, improving the bets at competitive costs, is key to both active and passive equity trading and investment strategies in the future.
Factfulness
In modern investing practice, there are no universal equity-portfolio concepts and stock-markets are ambiguous definitions. Refuting old finance theory, global equity market analytics is always a matter of comparisons. Trading and holdings are always relative; segmented, time and volume-dependent.
CIMalgo portfolios are never merely represented by market capitalization allocations. Instead, they are track-record confirmed concepts with fitted contexts – to establish coherently designed outperforming models.