Company strategy
Level E aims to provide a service to potential
investors by automating the trading process. In addition to this
service, Level E manages its own fund based upon the models'
predictions. By further refining the technology, and optimizing the
predictive signals, Level E aims to become the world leader in
intelligent automated financial decision making.
Current goals and the direction of the research in Level E is towards
improving the accuracy of the predictions by introducing new families
of predictive models and refining the feature space that is used.
Higher portfolio-level performance can be achieved by assessing
robustness to varying market conditions, and introducing safe guards
that ensure diversified risks. Scalability of the system is also being
developed, to allow integration into new markets with different stock
profiles.
One of the main advantages that MAYA™ has over its
competitors is the facility to incorporate expert fund managing rules,
which can be translated into either a complex feature set, or as a
probabilistic model prior, depending upon the nature of the rule.
Whereas other statistical market models tend to rely purely on
mathematical principles whilst ignoring expert knowledge. This synergy
of formal mathematical learning with expert knowledge allows MAYA™ to
gain significant competitive advantage over rival technologies. Further
development of the integration methods of client-imposed constraints
will allow more specialized application of MAYA™ software.
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